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  • 1.
    Abbas, Nadeem
    et al.
    Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).
    Awais, Mian Muhammad
    Lahore University of Management Sciences, Pakistan.
    Kurti, Arianit
    Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).
    Smart Forest Observatories Network: A MAPE-K Architecture Based Approach for Detecting and Monitoring Forest Damage2023In: Proceedings of the Conference Digital solutions for detecting and monitoring forest damage: Växjö, Sweden, March 28-29, 2023, 2023Conference paper (Other academic)
    Abstract [en]

    Forests are essential for life, providing various ecological, social, and economic benefits worldwide. However, one of the main challenges faced by the world is the forest damage caused by biotic and abiotic factors. In any case, the forest damages threaten the environment, biodiversity, and ecosystem. Climate change and anthropogenic activities, such as illegal logging and industrial waste, are among the principal elements contributing to forest damage. To achieve the United Nations' Sustainable Development Goals (SDGs) related to forests and climate change, detecting and analyzing forest damages, and taking appropriate measures to prevent or reduce the damages are essential. To that end, we envision establishing a Smart Forest Observatories (SFOs) network, as shown below, which can be either a local area or a wide area network involving remote forests. The basic idea is to use Monitor, Analyze, Plan, Execute, and Knowledge (MAPE-K) architecture from autonomic computing and self-adaptive software systems domain to design and develop the SFOs network. The SFOs are planned to collect, analyze, and share the collected data and analysis results using state-of-the-art methods. The principal objective of the SFOs network is to provide accurate and real-time data to policymakers and forest managers, enabling them to develop effective policies and management strategies for global forest conservation that help to achieve SDGs related to forests and climate change.

  • 2.
    Ahmedi, Figene
    et al.
    University of Prishtina, Serbia.
    Ahmedi, Lule
    University of Prishtina, Serbia.
    O'Flynn, Brendan
    Tyndall National Institute, Ireland;University College Cork, Ireland.
    Kurti, Arianit
    Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).
    Tahirsylaj, Sylë
    Hydrometeorological Institute of Kosova, Serbia.
    Bytyçi, Eliot
    University of Prishtina, Serbia.
    Sejdiu, Besmir
    University of Prishtina, Serbia.
    Salihu, Astrit
    University of Prishtina, Serbia.
    InWaterSense: An Intelligent Wireless Sensor Network for Monitoring Surface Water Quality to a River in Kosovo2018In: International Journal of Agricultural and Environmental Information Systems, ISSN 1947-3192, Vol. 9, no 1, p. 39-61Article in journal (Refereed)
    Abstract [en]

    A shift in water monitoring approach from traditional grab sampling to novel wireless sensors is gaining in popularity not only among researchers but also in the market. These latest technologies readily enable numerous advantageous monitoring arrangements like remote, continuous, real-time, and spatially-dense and broad in coverage measurements, and identification of long-term trends of parameters of interest. Thus, a WSN system is implemented in a river in Kosovo as part of the InWaterSense project to monitor its water quality parameters. It is one of the first state of the art technology demonstration systems of its kind in the domain of water monitoring in developing countries like Kosovo. Water quality datasets are transmitted at pre-programmed intervals from sensing stations deployed in the river to the server at university via the GPRS network. Data is then made available through a portal to different target groups (policy-makers, water experts, and citizens). Moreover, the InWaterSense system behaves intelligently like staying in line with water quality regulatory standards.

  • 3.
    Ahmedi, Figene
    et al.
    University of Prishtina, Kosovo.
    Ahmedi, Lule
    University of Prishtina, Kosovo.
    O'Flynn, Brendan
    University College Cork, Ireland.
    Kurti, Arianit
    Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).
    Tahirsylaj, Sylë
    Hydrometeorological Institute of Kosovo, Kosovo.
    Bytyçi, Eliot
    University of Prishtina, Kosovo.
    Sejdiu, Besmir
    University of Prishtina, Kosovo.
    Salihu, Astrit
    University of Prishtina, Kosovo.
    InWaterSense: An Intelligent Wireless Sensor Network for Monitoring Surface Water Quality to a River in Kosovo2018In: Innovations and Trends in Environmental and Agricultural Informatics / [ed] Petraq Papajorgji, Francois Pinet, IGI Global, 2018, p. 58-85Chapter in book (Refereed)
    Abstract [en]

    A shift in the water monitoring approach from traditional grab sampling to novel wireless sensors is gaining in popularity not only among researchers but also in the market. These latest technologies readily enable numerous advantageous monitoring arrangements like remote, continuous, real-time, and spatially dense and broad in coverage measurements, and identification of long-term trends of parameters of interest. Thus, a WSN system is implemented in a river in Kosovo as part of the InWaterSense project to monitor its water quality parameters. It is one of the first state-of-the-art technology demonstration systems of its kind in the domain of water monitoring in developing countries like Kosovo. Water quality datasets are transmitted at pre-programmed intervals from sensing stations deployed in the river to the server at university via the GPRS network. Data is then made available through a portal to different target groups (policymakers, water experts, and citizens). Moreover, the InWaterSense system behaves intelligently like staying in line with water quality regulatory standards. 

  • 4.
    Alsouda, Yasser
    et al.
    Linnaeus University, Faculty of Technology, Department of Physics and Electrical Engineering.
    Pllana, Sabri
    Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).
    Kurti, Arianit
    RISE Interactive, Sweden.
    A Machine Learning Driven IoT Solution for Noise Classification in Smart Cities2018In: Machine Learning Driven Technologies and Architectures for Intelligent Internet of Things (ML-IoT), August 28, 2018, Prague, Czech Republic, Euromicro , 2018, p. 1-6Conference paper (Refereed)
    Abstract [en]

    We present a machine learning based method for noise classification using a low-power and inexpensive IoT unit. We use Mel-frequency cepstral coefficients for audio feature extraction and supervised classification algorithms (that is, support vector machine and k-nearest neighbors) for noise classification. We evaluate our approach experimentally with a dataset of about 3000 sound samples grouped in eight sound classes (such as, car horn, jackhammer, or street music). We explore the parameter space of support vector machine and k-nearest neighbors algorithms to estimate the optimal parameter values for classification of sound samples in the dataset under study. We achieve a noise classification accuracy in the range 85% -- 100%. Training and testing of our k-nearest neighbors (k = 1) implementation on Raspberry Pi Zero W is less than a second for a dataset with features of more than 3000 sound samples.

  • 5.
    Alsouda, Yasser
    et al.
    Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).
    Pllana, Sabri
    Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).
    Kurti, Arianit
    Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).
    IoT-based Urban Noise Identification Using Machine Learning: Performance of SVM, KNN, Bagging, and Random Forest2019In: Proceedings of the International Conference on Omni-Layer Intelligent Systems (COINS '19), New York: ACM Publications, 2019, p. 62-67Conference paper (Refereed)
    Abstract [en]

    Noise is any undesired environmental sound. A sound at the same dB level may be perceived as annoying noise or as pleasant music. Therefore, it is necessary to go beyond the state-of-the-art approaches that measure only the dB level and also identify the type of noise. In this paper, we present a machine learning based method for urban noise identification using an inexpensive IoT unit. We use Mel-frequency cepstral coefficients for audio feature extraction and supervised classification algorithms (that is, support vector machine, k-nearest neighbors, bootstrap aggregation, and random forest) for noise classification. We evaluate our approach experimentally with a data-set of about 3000 sound samples grouped in eight sound classes (such as car horn, jackhammer, or street music). We explore the parameter space of the four algorithms to estimate the optimal parameter values for classification of sound samples in the data-set under study. We achieve a noise classification accuracy in the range 88% - 94%.

  • 6.
    Amatya, Suyesh
    et al.
    Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM), Department of Computer Science.
    Kurti, Arianit
    Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM), Department of Computer Science.
    Cross-Platform Mobile Development: Challenges and Opportunities2014In: ICT Innovations 2013: ICT Innovations and Education / [ed] Vladimir Trajkovik and Misev Anastas, Springer, 2014, 1, p. 219-229Chapter in book (Refereed)
    Abstract [en]

    Mobile devices and mobile computing have made tremendous advances and become ubiquitous in the last few years. As a result, the landscape has become seriously fragmented which brings lots of challenges for the mobile development process. Whilst native approach of mobile development still is the predominant way to develop for a particular mobile platform, recently there is shifting towards cross-platform mobile development as well. In this paper, we have performed a survey of the literature to see the trends in cross-platform mobile development over the last few years. With the result of the survey, we argue that the web-based approach and in particular,hybrid approach, of mobile development serves the best for cross-platform development. The results of this work indicate that even though cross platform tools are not fully matured they show great potential. Thus we consider that cross-platform development offers great opportunities for rapid development of high-fidelity prototypes of the mobile application.

  • 7.
    Bani Hani, Imad
    et al.
    Linnaeus University, Faculty of Technology, Department of Informatics.
    Chowdhury, Soumitra
    Linnaeus University, Faculty of Technology, Department of Informatics.
    Kurti, Arianit
    Linnaeus University, Faculty of Technology, Department of Informatics. Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).
    The Triadic Relationship of Sense-Making, Analytics, and Institutional Influences2022In: Informatics, E-ISSN 2227-9709, Vol. 9, no 1, article id 3Article in journal (Refereed)
    Abstract [en]

    The current business environment demands the enablement of organization-wide use of analytics to support a fact-based decision making. Such movement within the organization require employees to take advantage of the self-service business analytics tools to independently fulfil their needs. However, assuming independence in data analytics requires employees to make sense of several elements which collectively contribute to the generation of required insights. Building on sense-making, self-service business analytics, and institutions literature, this paper explores the relationship between sense-making and self-service business analytics and how institutions influence and shape such relationship. By adopting a qualitative perspective and using 22 interviews, we have empirically investigated a model developed through our literature review and provided more understanding of the sense-making concept in a self-service business analytics context.

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  • 8.
    Bodduluri, Kailash Chowdary
    et al.
    Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).
    Palma, Francis
    University of New Brunswick, Canada.
    Jusufi, Ilir
    Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).
    Kurti, Arianit
    Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).
    Löwenadler, Henrik
    HL Design, Sweden.
    Exploring the Landscape of Hybrid Recommendation Systems in E-commerce: A Systematic Literature Review2024In: IEEE Access, E-ISSN 2169-3536Article, review/survey (Refereed)
    Abstract [en]

    This article presents a systematic literature review on hybrid recommendation systems (HRS) in the e-commerce sector, a field characterized by constant innovation and rapid growth. As the complexity and volume of digital data increases, recommendation systems have become essential in guiding customers to services or products that align with their interests. However, the effectiveness of single-architecture recommendation algorithms is often limited by issues such as data sparsity, challenges in understanding user needs, and the cold start problem. Hybridization, which combines multiple algorithms in different methods, has emerged as a dominant solution to these limitations. This approach is utilized in various domains, including e-commerce, where it significantly improves user experience and sales. To capture the recent trends and advancements in HRS within e-commerce over the past six years, we review the state-of-the-art overview of HRS within e-commerce. This review meticulously evaluates existing research, addressing primary inquiries and presenting findings that contribute to evidence-based decision-making, understanding research gaps, and maintaining transparency. The review begins by establishing fundamental concepts, followed by detailed methodologies, findings from addressing the research questions, and exploration of critical aspects of HRS. In summarizing and incorporating existing research, this paper offers valuable insights for researchers and outlines potential avenues for future research, ultimately providing a comprehensive overview of the current state and prospects of HRS in e-commerce.

  • 9.
    Bodduluri, Kailash Chowdary
    et al.
    Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM). Department of Computer Science and Media Technology, Linnaeus University, Växjö, Sweden.
    Palma, Francis
    Faculty of Computer Science, University of New Brunswick, Fredericton, Canada.
    Kurti, Arianit
    Department of Computer Science and Media Technology, Linnaeus University, Växjö, Sweden.
    Jusufi, Ilir
    Department of Computer Science, Blekinge Institute of Technology, Karlskrona, Sweden.
    Löwenadler, Henrik
    HL Design, Växjö, Sweden.
    Exploring the Landscape of Hybrid Recommendation Systems in E-Commerce: A Systematic Literature Review2024In: IEEE Access, E-ISSN 2169-3536, Vol. 12, p. 28273-28296Article in journal (Other academic)
    Abstract [en]

    This article presents a systematic literature review on hybrid recommendation systems (HRS) in the e-commerce sector, a field characterized by constant innovation and rapid growth. As the complexity and volume of digital data increases, recommendation systems have become essential in guiding customers to services or products that align with their interests. However, the effectiveness of single-architecture recommendation algorithms is often limited by issues such as data sparsity, challenges in understanding user needs, and the cold start problem. Hybridization, which combines multiple algorithms in different methods, has emerged as a dominant solution to these limitations. This approach is utilized in various domains, including e-commerce, where it significantly improves user experience and sales. To capture the recent trends and advancements in HRS within e-commerce over the past six years, we review the state-of-the-art overview of HRS within e-commerce. This review meticulously evaluates existing research, addressing primary inquiries and presenting findings that contribute to evidence-based decision-making, understanding research gaps, and maintaining transparency. The review begins by establishing fundamental concepts, followed by detailed methodologies, findings from addressing the research questions, and exploration of critical aspects of HRS. In summarizing and incorporating existing research, this paper offers valuable insights for researchers and outlines potential avenues for future research, ultimately providing a comprehensive overview of the current state and prospects of HRS in e-commerce.

  • 10.
    Bytyçi, Eliot
    et al.
    University of Prishtina, Kosovo.
    Ahmedi, Lule
    University of Prishtina, Kosovo.
    Kurti, Arianit
    Linnaeus University, Faculty of Technology, Department of Computer Science. Interactive Institute Swedish ICT.
    Association Rule Mining with Context Ontologies: An Application to Mobile Sensing of Water Quality2016In: Metadata and Semantics Research: 10th International Conference, MTSR 2016, Göttingen, Germany, November 22-25, 2016, Proceedings / [ed] Garoufallou, E., Subirats Coll, I., Stellato, A., Greenberg, J, Cham: Springer, 2016, p. 67-78Conference paper (Refereed)
    Abstract [en]

    Internet of Things (IoT) applications by means of wireless sensor networks (WSN) produce large amounts of raw data. These data might formally be defined by following a semantic IoT model that covers data, meta-data, as well as their relations, or might simply be stored in a database without any formal specification. In both cases, using association rules as a data mining technique may result into inferring interesting relations between data and/or metadata. In this paper we argue that the context has not been used extensively for added value to the mining process. Therefore, we propose a different approach when it comes to association rule mining by enriching it with a context-aware ontology. The approach is demonstrated by hand of an application to WSNs for water quality monitoring. Initially, new ontology, its concepts and relationships are introduced to model water quality monitoring through mobile sensors. Consequently, the ontology is populated with quality data generated by sensors, and enriched afterwards with context. Finally, the evaluation results of our approach of including context ontology in the mining process are promising: new association rules have been derived, providing thus new knowledge not inferable when applying association rule mining simply over raw data.

  • 11.
    Chow, Joyce A
    et al.
    RISE Interactive Institute.
    Törnros, Martin E
    Interaktiva Rum Sverige.
    Waltersson, Marie
    Linköping University.
    Richard, Helen
    Linköping University Hospital.
    Kusoffsky, Madeleine
    RISE Interactive Institute.
    Lundström, Claes F
    Linköping University.
    Kurti, Arianit
    RISE Interactive Institute.
    A design study investigating augmented reality and photograph annotation in a digitalized grossing workstation2017In: Journal of Pathology Informatics, ISSN 2229-5089, E-ISSN 2153-3539, Vol. 8, article id 31Article in journal (Refereed)
    Abstract [en]

    Context: Within digital pathology, digitalization of the grossing procedure has been relatively underexplored in comparison to digitalization of pathology slides. Aims: Our investigation focuses on the interaction design of an augmented reality gross pathology workstation and refining the interface so that information and visualizations are easily recorded and displayed in a thoughtful view. Settings and Design: The work in this project occurred in two phases: the first phase focused on implementation of an augmented reality grossing workstation prototype while the second phase focused on the implementation of an incremental prototype in parallel with a deeper design study. Subjects and Methods: Our research institute focused on an experimental and “designerly” approach to create a digital gross pathology prototype as opposed to focusing on developing a system for immediate clinical deployment. Statistical Analysis Used: Evaluation has not been limited to user tests and interviews, but rather key insights were uncovered through design methods such as “rapid ethnography” and “conversation with materials”. Results: We developed an augmented reality enhanced digital grossing station prototype to assist pathology technicians in capturing data during examination. The prototype uses a magnetically tracked scalpel to annotate planned cuts and dimensions onto photographs taken of the work surface. This article focuses on the use of qualitative design methods to evaluate and refine the prototype. Our aims were to build on the strengths of the prototype's technology, improve the ergonomics of the digital/physical workstation by considering numerous alternative design directions, and to consider the effects of digitalization on personnel and the pathology diagnostics information flow from a wider perspective. A proposed interface design allows the pathology technician to place images in relation to its orientation, annotate directly on the image, and create linked information. Conclusions: The augmented reality magnetically tracked scalpel reduces tool switching though limitations in today's augmented reality technology fall short of creating an ideal immersive workflow by requiring the use of a monitor. While this technology catches up, we recommend focusing efforts on enabling the easy creation of layered, complex reports, linking, and viewing information across systems. Reflecting upon our results, we argue for digitalization to focus not only on how to record increasing amounts of data but also how these data can be accessed in a more thoughtful way that draws upon the expertise and creativity of pathology professionals using the systems.

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    fulltext
  • 12.
    Chow, Joyce
    et al.
    Interactive Institute Swedish ICT AB.
    Kusoffsky, Madeleine
    Interactive Institute Swedish ICT AB.
    Kurti, Arianit
    Interactive Institute Swedish ICT.
    From Abstract to Concrete: Telling Math Stories with Cards2016In: Proceedings of the 14th Participatory Design Conference: Short Papers, Interactive Exhibitions, Workshops - Volume 2, ACM Press, 2016, p. 90-91Conference paper (Refereed)
    Abstract [en]

    Our research project, funded by Vinnova, has the aim to produce a catalog of future visions of mathematics learning at the middle school level in Sweden. Our research team and reference group involves members from different backgrounds and ages including designers, programmers, teachers, pedagogues, and middle school students.

  • 13.
    Dalipi, Fisnik
    et al.
    Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM). University of South-Eastern Norway, Norway.
    Ferati, Mexhid
    Linnaeus University, Faculty of Technology, Department of Informatics.
    Kurti, Arianit
    Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM). RISE, Sweden.
    Integrating MOOCs in Regular Higher Education: Challenges and Opportunities from a Scandinavian Perspective2018In: Learning and Collaboration Technologies: Design, Development and Technological Innovation. LCT 2018 / [ed] Panayiotis Zaphiris and Andri Ioannou, Springer, 2018, Vol. 10924, p. 193-204Conference paper (Refereed)
    Abstract [en]

    MOOCs are increasingly being considered by universities as an integral part of their curriculum. Nevertheless, there are several challenges that to some extent slow this process, where the most important one is the accreditation challenges and financing. These challenges are particularly important in the context of universities in Scandinavian countries where education is mostly free. In order to gain more insights on the status of proliferation of MOOCs in Scandinavian universities and understand any specific challenges, we conducted a study by analyzing two sources of data: research publications and university websites. Further on, these data have been analyzed using a framework that differentiates and categorizes MOOCs in terms of accreditation and scalability. As a result of this analysis, we have identified the remaining challenges as well as a number of opportunities regarding the full integration of MOOCs in the educational system of the Scandinavian Higher Education Institutions.

  • 14.
    Dalipi, Fisnik
    et al.
    Linnaeus University, Faculty of Technology, Department of Informatics.
    Ferati, Mexhid
    Linnaeus University, Faculty of Technology, Department of Informatics.
    Kurti, Arianit
    Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).
    Kastrati, Zenun
    Linnaeus University, Faculty of Technology, Department of Informatics. Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).
    Investigating the FAIRness of Science and Technology Open Data: A Focus in the Scandinavian Countries2022In: HCI International 2022 Posters. HCII 2022.: 24th International Conference on Human-Computer Interaction, HCII 2022, Virtual Event, June 26 – July 1, 2022, Proceedings, Part I / [ed] Stephanidis, C., Antona, M., Ntoa, S., Switzerland: Springer, 2022, Vol. 1580, p. 276-283Conference paper (Refereed)
    Abstract [en]

    Providing researchers and other users access to data can accelerate knowledge discovery and enhance research transparency and reliability. In this context, the FAIR vision was formulated with the goal to optimize data sharing and reuse by humans and machines. In this paper, we investigate Scandinavian open data portals using FAIR data principles. We review and analyze the current state of datasets categorized as “Science and Technology” since in our view, such data is particularly relevant for reusability. Additionally, this study aims to further highlight and understand any specific challenges related to suitability of scientific data according to FAIR principles. Our findings highlight that, while the possibilities of open data from the science and technology domain are very promising, there are still a plethora of challenges we’ve discovered, and that need to be tackled in order to truly leverage the benefits.

  • 15.
    Dalipi, Fisnik
    et al.
    Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM), Department of Computer Science. Tetovo University, Macedonia.
    Idrizi, Florim
    Tetovo University, Macedonia.
    Kurti, Arianit
    Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM), Department of Computer Science. RISE, Sweden.
    Exploring the Impact of Social Learning Networks in M-Learning: a Case Study in a University Environment2017In: Learning and Collaboration Technologies Novel Learning Ecosystems: 4th International Conference, LCT 2017, Held as Part of HCI International 2017, Vancouver, BC, Canada, July 9-14, 2017, Proceedings, Part I / [ed] Panayiotis Zaphiris, Andri Ioannou, Vancouver: Springer, 2017, p. 189-198Conference paper (Refereed)
    Abstract [en]

    The high penetration of Internet, advances in mobile computing and the rise of smartphone usage has largely enhanced the use of social media in education. Moreover, nowadays social learning network (SLN) platforms have become an important educational technology component in higher education. Despite the fact that SLN are becoming ubiquitous in the higher education, there is relatively not much empirical work done investigating their purposefulness when integrated into the learning activities. This paper aims at exploring the impact of SLN in mobile assisted learning and to provide empirical evidence as to what extent SLN and mobile learning (M-learning) can improve the learning experiences. For this purpose, a quantitative experimental approach is used, and two survey questionnaires were conducted. The data is collected from 120 participants. In this study, we focus our intention on Edmodo and Kahoot platforms, which represent social media based tools that aid and support collaboration, knowledge sharing and group activities among students. Computer science students of the Tetovo University (TU) used these tools throughout one semester. From this study, there is significant evidence that students are very interested to use this SLN in a M-learning setting, indicating that SLN can be one of the promising pedagogical technologies that could contribute effectively to learning process.

  • 16.
    Dalipi, Fisnik
    et al.
    Linnaeus University, Faculty of Technology, Department of Informatics.
    Jokela, Päivi
    Linnaeus University, Faculty of Technology, Department of Informatics.
    Kastrati, Zenun
    Linnaeus University, Faculty of Technology, Department of Informatics. Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).
    Kurti, Arianit
    Linnaeus University, Faculty of Technology, Department of Informatics. Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).
    Elm, Patrik
    Linnaeus University, Faculty of Technology, Department of Informatics.
    Going digital as a result of COVID-19: Insights from students’ and teachers’ impressions in a Swedish university2022In: International Journal of Educational Research Open, ISSN 2666-3740, Vol. 3, article id 100136Article in journal (Refereed)
    Abstract [en]

    During the past two years, the entire world has been coping with the consequences of the COVID-19 pandemics. The need for physical distancing, forced an accelerated digital transformation of the education sector. The emergency remote education (ERE) has been manifested differently across diverse countries in the world. In this paper, we bring a case study about students’ and teachers’ impressions and experiences regarding the changes that have happened due to pandemic conditions in university courses in informatics at a Swedish university. This research is conducted through a mix of quantitative and qualitative empirical data. These data have been collected through the students surveys, course logs, as well as teachers and ICT pedagogue interviews. The collected data have been analyzed through the technology-mediated learning (TML) theoretical framework. Based on the thematic analysis on the collected data, we have identified three main themes: a) Preparedness, b) Challenges with ERE and c) Opportunities with ERE. As a result, through analyzing data in the light of the ERE experiences that encompasses the educational process, affordance, and beliefs, knowledge, and practices, we provide a set of lessons-learned experiences and indicate the possible lines of actions when it comes to the learning design in the constrained pandemic situations.

  • 17.
    Dalipi, Fisnik
    et al.
    Linnaeus University, Faculty of Technology, Department of Informatics.
    Kurti, Arianit
    Linnaeus University, Faculty of Technology, Department of Informatics.
    Ferati, Mexhid
    Linnaeus University, Faculty of Technology, Department of Informatics.
    APPEND: A Blockchain-Based Model of Digital Product Passport for Furniture Industry2024Conference paper (Refereed)
    Abstract [en]

    The digital product passport has been introduced as a policy instrument to enable traceability throughout the product life cycle and to support a circular economy. Anyhow, as a relatively new concept, there are a lot of uncertainties throughout the industrial landscape regarding the challenges and opportunities it brings. One such branch of industry is the furniture sector. In this paper, we present a DPP solution for furniture industry based on blockchain technology and inspired by a design thinking mindset. Through a prototype implementation, we highlight the key aspects such as data governance, stakeholder constellation, data interoperability, and data integrity that have significant research potential. Furthermore, we discuss these key concepts of DPP through the lens of eco-design principles in order to promote sustainability, improve energy efficiency, and protect the environment.

  • 18.
    Dalipi, Fisnik
    et al.
    Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM), Department of Computer Science.
    Kurti, Arianit
    Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM), Department of Computer Science. RISE Interactive Institute.
    Zdravkova, Katerina
    Ss. Cyril and Methodius University, Macedonia.
    Ahmedi, Lule
    University of Prishtina, Serbia.
    Rethinking the conventional learning paradigm towards MOOC based flipped classroom learning2017In: 16th International Conference on Information Technology Based Higher Education and Training (ITHET), 10-12 June, 2017, Ohrid, Macedonia, IEEE, 2017, article id 8067791Conference paper (Refereed)
    Abstract [en]

    The recent proliferation of Massive Open Online Courses (MOOCs) has initiated a plethora of research endeavors revolving around new pedagogical methods in higher education. Integrating MOOCs in blended learning can be beneficial in different ways for both learners and instructors. In this position paper, we aim to provide a brief and comprehensive review about the challenges that higher education institutions in Macedonia and Kosovo face while coping with the new trends of flexible or blended learning. Moreover, after describing some real cases of MOOC based flipped classroom learning, we also provide some recommendations in order to enhance and enrich learning experience by employing innovative pedagogies.

  • 19.
    Dika, Elona
    et al.
    Linnaeus University, Faculty of Technology, Department of Media Technology.
    Kurti, Arianit
    Linnaeus University, Faculty of Technology, Department of Computer Science. Interactive Institute Swedish ICT .
    Use of a Smart TV as a Platform for Social Engagement for Senior Citizens2015In: 7th ICT innovations Conference 2015: Web proceedings / [ed] Suzana Loshkovska, Saso Koceski, Skopje, Macedonia: Association for Information and Communication Technologies , 2015, p. 96-105Conference paper (Refereed)
    Abstract [en]

    The number of studies investigating computer use or other technologies used by senior citizens has progressively increased in the last twenty years. The interest stems from a diverse range of research disciplines including human computer interaction, education, and many others. Senior citizens generally have a positive attitude towards technology, and they are willing to use the product if they need it. Positive attitudes are also more likely to be expressed towards devices used every day at home, such as the television, microwave etc. Even if those devices are now typically digital, senior citizens are familiar and comfortable with them. These characteristics drive us to offer a solution by rethinking the use of some existing technologies and making them more affordable and accessible to older people. It is offered on a TV, something that senior citizens are familiar and comfortable with and which most of them have it at home. On this research we report our experience on developing a prototype service using smart TV application specifically tailored for the senior citizens needs and requirements. Based on the findings, we can conclude that there was great acceptance from senior citizens for the support of daily living and the ability to control their daily activities provided by this service.

  • 20.
    Ferati, Mexhid
    et al.
    Linnaeus University, Faculty of Technology, Department of Informatics.
    Bertoni, Marco
    Blekinge Institute of Technology, Sweden.
    Dalipi, Fisnik
    Linnaeus University, Faculty of Technology, Department of Informatics.
    Kurti, Arianit
    Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).
    Jokela, Päivi
    Linnaeus University, Faculty of Technology, Department of Informatics.
    Anderberg, Peter
    Blekinge Institute of Technology, Sweden;University of Skövde, Sweden.
    Mirijamdotter, Anita
    Linnaeus University, Faculty of Technology, Department of Informatics.
    Tackling the Sustainability of Digital Aging Innovations Through Design Thinking and Systems Thinking Perspectives2021In: ICT for Health, Accessibility and Wellbeing: First International Conference, IHAW 2021, Larnaca, Cyprus, November 8–9, 2021, Revised Selected Papers / [ed] Edwige PissalouxGeorge Angelos PapadopoulosAchilleas AchilleosRamiro Velázquez, Springer, 2021, p. 179-184Chapter in book (Refereed)
    Abstract [en]

    The digitalization of society brings many opportunities and challenges, especially on how we organize the welfare society in the future. This becomes especially pertinent as we are heading toward a global increase of older people, which will strain healthcare and bring the challenge of building sustainable solu- tions. In this paper, we argue that the unsustainable solutions within healthcare are due to them being defined and ‘solved’ with a single approach or approaches used in silos. We advocate that a more sustainable solution could be achieved by combining systems thinking and design thinking perspectives throughout the entire process—from problem definition to solution offering. A benefit of such combined perspectives is the ability to develop a shared context among all stakeholders, which helps uncover unique tacit knowledge from their experience. This will serve as a solid foundation to generate unconventional ideas that will lead to sustainable and satisfactory solutions. 

  • 21.
    Ferati, Mexhid
    et al.
    Linnaeus University, Faculty of Technology, Department of Informatics.
    Demukaj, Venera
    Rochester Institute of Technology, Kosovo.
    Kurti, Arianit
    Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).
    Mörtberg, Christina
    Linnaeus University, Faculty of Technology, Department of Informatics.
    Challenges and Opportunities for Women Studying STEM2022In: ICT Innovations 2022. Reshaping the Future Towards a New Normal. ICT Innovations 2022: 14th International Conference, ICT Innovations 2022, Skopje, Macedonia, September 29 – October 1, 2022 / [ed] Zdravkova, K., Basnarkov, L., Springer, 2022, Vol. 1740, p. 147-157Conference paper (Refereed)
    Abstract [en]

    Gender stereotypes in Science, Technology, Engineering, and Math (STEM) education and careers are widely present, especially in countries with emerging economies. Making the youth interested in STEM education and careers is an important goal set by the European Commission. Consequently, understanding the obstacles youth face when choosing to study STEM is critical for policy interventions in closing the gender gap in STEM education and careers. To this end, in this paper we report on a study conducted to understand experiences of high-school and university students who study STEM. The results from two future workshops with students and a panel discussion with experts reveals three main challenges: institutional, design, and social challenges. For each challenge, we propose and discuss a respective solution: digital citizenship, universal design, and norm criticism. We conclude the paper with thoughts on the limitations of this study and directions in which this study could develop in the future.

  • 22.
    Ferati, Mexhid
    et al.
    Linnaeus University, Faculty of Technology, Department of Informatics.
    Demukaj, Venera
    Rochester Institute of Technology, Kosovo.
    Kurti, Arianit
    Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).
    Mörtberg, Christina
    Linnaeus University, Faculty of Technology, Department of Informatics.
    Generation Z Enters STEM: Obstacles and Opportunities in the Case of Kosovo2022In: Abstract Book: 6th Annual International Symposium on Future of STEAM (sciences, technology, engineering,arts and mathematics) Education, 18-21 July 2022, Athens, Greece, Athens Institute for Education and Research (ATINER), 2022, p. 31-32Conference paper (Refereed)
    Abstract [en]

    Women make up half of the society, however they account for 40% of the labor force, according to a report from the World Economic Forum (WEF, 2020). Data shows that globally, the number of women working in Science, Technology, Engineering, and Mathematics (STEM) careers is still low (ILOStat, 2019). In Europe, women hold only 17.2% of ICT-related jobs and only 13.1% of STEM graduates are women (Eurostat, 2019). Data on emerging economies, such as Kosovo, exhibit similar trends. In the academic year of 2017/2020, out of the total number of active and graduated students in STEM fields at the University of Prishtina, women comprised 32% and 44%, respectively (MEST & KAS, 2018). Closing the gender gap was identified as a possibility for growth and reignition of the economies across Central and Easter Europe by a recent McKinsey report (Iszkowska et al., 2021). The need to keep up with the social, technological, and economic developments of our time has brought to the forefront the importance of preparing the new generations of citizens with skills in STEM. Indeed, the European Commission recognized that one of the most ambitious goals is to make STEM education and STEM careers attractive to youth, and that interventions to address the crisis should start early (European Commission, Horizon 2020).

    Therefore, in this paper we report on our research insights aiming to have a better understanding of challenges related to women studying STEM fields. The research efforts reported in this paper have been conducted in Kosovo during December 2021. The approach used in this research was based on the future workshop method conducted with18 high school female students from two high schools in Prishtina and 9 university female students in Kosovo. Understanding STEM experiences of students during high school is important because this period represents a critical juncture when decisions to pursue STEM are made and early interventions have been shown to be particularly effective (Kim, Sinatra, & Senyarian, 2018). The main goals of these workshops were to discover what factors have influenced the choice of these students to study STEM; understand if there are any challenges they face as STEM students; as well as their prospect for employment after graduation. The rich data collected during the workshops have been complemented with qualitative inputs from relevant stakeholders, consisting of representatives from government, educational, and civil society institutions through a panel discussion setup. Preliminary data from the workshops as well as from panel discussions revealed numerous obstacles that young women in Kosovo face while pursuing STEM education. These obstacles could be clustered in in three main themes, namely: institutional (e.g., lack of information flow, institutional support and awareness); social (e.g., lack of support from parents and teachers to study STEM); and design (e.g., lack of gender sensitive design of premises).

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  • 23.
    Ferati, Mexhid
    et al.
    Oslo and Akershus University, Norway.
    Kurti, Arianit
    Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM), Department of Computer Science. Interactive Institute Swedish ICT.
    Vogel, Bahtijar
    Malmö University.
    Raufi, Bujar
    South East European University, Macedonia.
    Augmenting requirements gathering for people with special needs using IoT: A position paper2016In: CHASE '16: Proceedings of the 9th International Workshop on Cooperative and Human Aspects of Software Engineering, ACM Press, 2016, p. 48-51Conference paper (Refereed)
    Abstract [en]

    Requirements gathering are an important aspect of application development, especially when users are people with special needs. Traditionally, this process is being conducted using conventional methods, such as interviews, workshops and questionnaires. These approaches, however, are unable to grasp the full context when collecting data from the communities of people with special needs, mainly because of the difficult access to participants and incomprehensiveness of the data gathered. To mitigate such issues, in this position paper, we argue that existing traditional methods could be complemented by means of Internet of Things. The immense amount of data gathered from various devices interconnected could help generate meaningful data that will complement the usually insufficient amount collected using traditional methods. This new approach is, however, associated with challenges that are discussed along with a possible scenario on how data complementing from traditional and the indirect method could be done. 

  • 24.
    Ferati, Mexhid
    et al.
    South East European University, Macedonia.
    Raufi, Bujar
    South East European University, Macedonia.
    Kurti, Arianit
    Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM), Department of Computer Science.
    Vogel, Bahtijar
    Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM), Department of Computer Science.
    Accessibility Requirements for Blind and Visually Impaired in a Regional Context: An Exploratory Study2014In: 2014 IEEE 2nd International Workshop on Usability and Accessibility focused Requirements Engineering (UsARE) / [ed] Shah Rukh Humayoun, Norbert Seyff, Nauman A. Qureshi, Anna Perini, Achim Ebert, David Callele, and Simone D. J. Barbosa, IEEE Press, 2014, p. 13-16Conference paper (Refereed)
    Abstract [en]

    At the time when we are debating the Internet as a human right, an access to basic online information is a challenge for blind and visually impaired community. Steps taken for their digital inclusion, such as, the Web Content Accessibility Guidelines (WCAG) are often insufficient. In this paper we present initial requirements gathered during three workshops organized with various stakeholders coming from three different countries. Initial results suggest that the context of use and the cultural dimension play a crucial role in making digital content accessible for this community. Additionally, a one-solution-fits-all model is inadequate without considering levels of visual impairment when providing customized web and mobile experience. Finally, we lay out challenges that with comprehensive requirements gathering in the future, could address various problems that blind and visually impaired face.

  • 25.
    Ferati, Mexhid
    et al.
    Oslo and Akershus University College of Applied Sciences, Norway.
    Vogel, Bahtijar
    Malmö University.
    Kurti, Arianit
    Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM), Department of Computer Science. Interactive Institute Swedish ICT.
    Raufi, Bujar
    South East European University, Macedonia.
    Astals, David Salvador
    Universitat Autònoma de Barcelona, Spain.
    Web Accessibility for Visually Impaired People: Requirements and Design Issues2016In: Usability- and Accessibility-Focused Requirements Engineering: First International Workshop, UsARE 2012, Held in Conjunction with ICSE 2012, Zurich, Switzerland, June 4, 2012 and Second International Workshop, UsARE 2014, Held in Conjunction with RE 2014, Karlskrona, Sweden, August 25, 2014, Revised Selected Papers / [ed] Ebert, Achim; Humayoun, Rukh Shah; Seyff, Norbert; Perini, Anna; Barbosa, D.J. Simone, Cham: Springer, 2016, p. 79-96Chapter in book (Refereed)
    Abstract [en]

    Access to web content continues to be a challenge for the visually impaired, as the needs of such community are very diverse. The access is further hindered by the fact that designers continue to build websites non-compliant with Web Content Accessibility Guidelines (WCAG). To better understand the needs of the visually impaired community, three workshops were organized with various stakeholders coming from three different countries. The results from the workshops suggest that one-solution-fits-all model is inadequate without considering the levels of visual impairment when providing customized web experience. A set of requirements devised from the workshops guided the process of building a middleware prototype. Using eight adaptation techniques, the prototype provides the required user experience based on users level of visual impairment. Preliminary evaluation of the middleware suggests that several adaptation techniques perform better with non-WCAG compliant websites compared to those being compliant.

  • 26.
    Flensburg, Per
    et al.
    Växjö University, Faculty of Mathematics/Science/Technology, School of Mathematics and Systems Engineering. Växjö University, Faculty of Mathematics/Science/Technology, School of Mathematics and Systems Engineering. Informatics.
    Kurti, Arianit
    Växjö University, Faculty of Mathematics/Science/Technology, School of Mathematics and Systems Engineering. Växjö University, Faculty of Mathematics/Science/Technology, School of Mathematics and Systems Engineering. Informatics.
    Social Informatics in future?2006In: Social Informatics : An Information Society for All?: In Remembrance of Rob Kling (IFIP International Federation for Information Processing), Springer , 2006, p. 87-101Conference paper (Refereed)
  • 27.
    Fonseca, David
    et al.
    La Salle, Universitat Ramon Llull, Barcelona, Spain.
    Zabulis, Xenophon
    Foundation for Research and Technolgy, Crete, Greece.
    Ramzan, Naeem
    Queen Mary University of London, London, United Kingdom.
    Kurti, Arianit
    Linnaeus University, Faculty of Science and Engineering, School of Computer Science, Physics and Mathematics.
    Pileggi, Salvatore Flavio
    Universidad Politécnica de Valencia, Valencia, Spain.
    Ko, Heedong
    Image Media Research Center, Seoul, South Korea.
    1st international ACM workshop on user experience in e-learning and augmented technologies in education2012In: MM'12 Proceedings of the 20th ACM international conference on Multimedia, ACM Press, 2012, p. 1519-1520Conference paper (Refereed)
    Abstract [en]

    UXeLATE2012 is the 1st International ACM Workshop on User Experience in e-Learning and Augmented Technologies in Education in conjunction with the ACM International Multimedia Conference (MM'12) at Nara, Japan. The workshop has a half day program, with a selection of six papers, and one keynote talk of a recognized expert in the field of usability, mobile technology and education.

  • 28.
    Imran, Ali Shariq
    et al.
    Norwegian University of Science and Technology, Norway.
    Kastrati, Zenun
    Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).
    Svendsen, Torbjorn Karl
    Norwegian University of Science and Technology, Norway.
    Kurti, Arianit
    Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).
    Text-Independent Speaker ID Employing 2D-CNN for Automatic Video Lecture Categorization in a MOOC Setting2019In: 2019 IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI), IEEE Press, 2019, p. 273-277Conference paper (Refereed)
    Abstract [en]

    A new form of distance and blended education has hit the market in recent years with the advent of massive open online courses (MOOCs) which have brought many opportunities to the educational sector. Consequently, the availability of learning content to vast demographics of people and across locations has opened up a plethora of possibilities for everyone to gain new knowledge through MOOCs. This poses an immense issue to the content providers as the amount of manual effort required to structure properly and to organize the content automatically for millions of video lectures daily become incredibly challenging. This paper, therefore, addresses this issue as a small part of our proposed personalized content management system by exploiting the voice pattern of the lecturer for identification and for classifying video lectures to the right speaker category. The use of Mel frequency Cepstral coefficients (MFCC) as 2D input features maps to 2D-CNN has shown promising results in contrast to machine learning and deep learning classifiers - making text-independent speaker identification plausible in MOOC setting for automatic video lecture categorization. It will not only help categorize educational videos efficiently for easy search and retrieval but will also promote effective utilization of micro-lectures and multimedia video learning objects (MLO).

  • 29.
    Imran, Ali Shariq
    et al.
    Norwegian University of Science and Technology, Norway.
    Kastrati, Zenun
    Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).
    Svendsen, Torbjørn Karl
    Norwegian University of Science and Technology (NTNU), Norway.
    Kurti, Arianit
    Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).
    Text-Independent Speaker ID for Automatic Video Lecture Classification Using Deep Learning2019In: Proceedings of the 2019 5th International Conference on Computing and Artificial Intelligence, April 19-22, 2019, Bali, Indonesia, ACM Publications, 2019, p. 175-180Conference paper (Refereed)
    Abstract [en]

    This paper proposes to use acoustic features employing deep neural network (DNN) and convolutional neural network (CNN) models for classifying video lectures in a massive open online course (MOOC). The models exploit the voice pattern of the lecturer for identification and for classifying the video lecture according to the right speaker category. Filter bank and Mel frequency cepstral coefficient (MFCC) feature along with first and second order derivatives (Δ/ΔΔ) are used as input features to the proposed models. These features are extracted from the speech signal which is obtained from the video lectures by separating the audio from the video using FFmpeg.

    The deep learning models are evaluated using precision, recall, and F1 score and the obtained accuracy is compared for both acoustic features with traditional machine learning classifiers for speaker identification. A significant improvement of 3% to 7% classification accuracy is achieved over the DNN and twice to that of shallow machine learning classifiers for 2D-CNN with MFCC. The proposed 2D-CNN model with an F1 score of 85.71% for text-independent speaker identification makes it plausible to use speaker ID as a classification approach for organizing video lectures automatically in a MOOC setting.

  • 30.
    Kadriu, Fatbardh
    et al.
    University of Prishtina, Kosovo.
    Murtezaj, Doruntina
    University of Prishtina, Kosovo.
    Gashi, Fatbardh
    University of Prishtina, Kosovo.
    Ahmedi, Lule
    University of Prishtina, Kosovo.
    Kurti, Arianit
    Linnaeus University, Faculty of Technology, Department of Informatics. Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).
    Kastrati, Zenun
    Linnaeus University, Faculty of Technology, Department of Informatics.
    Human-annotated dataset for social media sentiment analysis for Albanian language2022In: Data in Brief, E-ISSN 2352-3409, Vol. 43, article id 108436Article in journal (Refereed)
    Abstract [en]

    Social media was a heavily used platform by people in different countries to express their opinions about different crises, especially during the Covid-19 pandemics. This dataset is created through collecting people’s comments in the news items on the official Facebook site of the National Institute of Public Health of Kosovo. The dataset contains a total of 10,132 comments that are human-annotated in the Albanian language as a low-resource language. The dataset was collected from March 12, 2020, and this coincides with the emergence of the first confirmed Covid-19 case in Kosovo until August 31, 2020, when the second wave started. Due to the scarcity of labeled data for low-resource languages, the dataset can be used by the research community in the field of machine learning, information retrieval, affective computing, as well as by the public agencies and decision makers.

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  • 31.
    Kaltofen, Sandra
    et al.
    Linnaeus University, Faculty of Science and Engineering, School of Computer Science, Physics and Mathematics.
    Milrad, Marcelo
    Linnaeus University, Faculty of Science and Engineering, School of Computer Science, Physics and Mathematics.
    Kurti, Arianit
    Linnaeus University, Faculty of Science and Engineering, School of Computer Science, Physics and Mathematics.
    A Cross-Platform Software System to Create and Deploy Mobile Mashups.2010In: Web Engineering: 10th International Conference, ICWE 2010, Vienna Austria, July 5-9, 2010. / [ed] Boualem Benatallah, Fabio Casati, Gerti Kappel and Gustavo Rossi, Berlin: Springer, 2010, p. 518-521Chapter in book (Refereed)
    Abstract [en]

    Changes in usage patterns of mobile services are continuously influenced by the enhanced features of mobile devices and software applications. Current cross-platform frameworks that allow the implementation of advanced mobile applications have triggered recent developments in relation to end-user mobile services and mobile mashups creation. Inspired by these latest developments, this paper presents our current development related to a cross-platform software system that enables the creation of mobile mashups within an end-user programming environment.

  • 32.
    Kastrati, Zenun
    et al.
    Linnaeus University, Faculty of Technology, Department of Informatics. Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).
    Ahmedi, Lule
    University of Prishtina, Kosovo.
    Kurti, Arianit
    Linnaeus University, Faculty of Technology, Department of Informatics. Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).
    Kadriu, Fatbardh
    University of Prishtina, Kosovo.
    Murtezaj, Doruntina
    University of Prishtina, Kosovo.
    Gashi, Fatbardh
    University of Prishtina, Kosovo.
    A Deep Learning Sentiment Analyser for Social Media Comments in Low-Resource Languages2021In: Electronics, E-ISSN 2079-9292, Vol. 10, no 10, article id 1133Article in journal (Refereed)
    Abstract [en]

    During the pandemic, when people needed to physically distance, social media platforms have been one of the outlets where people expressed their opinions, thoughts, sentiments, and emotions regarding the pandemic situation. The core object of this research study is the sentiment analysis of peoples’ opinions expressed on Facebook regarding the current pandemic situation in low-resource languages. To do this, we have created a large-scale dataset comprising of 10,742 manually classified comments in the Albanian language. Furthermore, in this paper we report our efforts on the design and development of a sentiment analyser that relies on deep learning. As a result, we report the experimental findings obtained from our proposed sentiment analyser using various classifier models with static and contextualized word embeddings, that is, fastText and BERT, trained and validated on our collected and curated dataset. Specifically, the findings reveal that combining the BiLSTM with an attention mechanism achieved the highest performance on our sentiment analysis task, with an F1 score of 72.09%.

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  • 33.
    Kastrati, Zenun
    et al.
    Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).
    Imran, Ali Shariq
    Norwegian University of Science and Technology, Norway.
    Kurti, Arianit
    Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).
    Integrating word embeddings and document topics with deep learning in a video classification framework2019In: Pattern Recognition Letters, ISSN 0167-8655, E-ISSN 1872-7344, Vol. 128, p. 85-92Article in journal (Refereed)
    Abstract [en]

    The advent of MOOC platforms brought an abundance of video educational content that made the selection of best fitting content for a specific topic a lengthy process. To tackle this challenge in this paper we report our research efforts of using deep learning techniques for managing and classifying educational content for various search and retrieval applications in order to provide a more personalized learning experience. In this regard, we propose a framework which takes advantages of feature representations and deep learning for classifying video lectures in a MOOC setting to aid effective search and retrieval. The framework consists of three main modules. The first module called pre-processing concerns with video-to-text conversion. The second module is transcript representation which represents text in lecture transcripts into vector space by exploiting different representation techniques including bag-of-words, embeddings, transfer learning, and topic modeling. The final module covers classifiers whose aim is to label video lectures into the appropriate categories. Two deep learning models, namely feed-forward deep neural network (DNN) and convolutional neural network (CNN) are examined as part of the classifier module. Multiple simulations are carried out on a large-scale real dataset using various feature representations and classification techniques to test and validate the proposed framework.

  • 34.
    Kastrati, Zenun
    et al.
    Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).
    Imran, Ali Shariq
    Norwegian University of Science and Technology - NTNU, Norway.
    Kurti, Arianit
    Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).
    Transfer Learning to Timed Text Based Video Classification Using CNN2019In: Proceedings of the 9th International Conference on Web Intelligence, Mining and Semantics, ACM Publications, 2019, article id 23Conference paper (Refereed)
    Abstract [en]

    Open educational video resources are gaining popularity with a growing number of massive open online courses (MOOCs). This has created a niche for content providers to adopt effective solutions in automatically organizing and structuring of educational resources for maximum visibility. Recent advances in deep learning techniques are proving useful in managing and classifying resources into appropriate categories. This paper proposes one such convolutional neural network (CNN) model for classifying video lectures in a MOOC setting using a transfer learning approach. The model uses a time-aligned text transcripts corresponding to video lectures from six broader subject categories. Video lectures and their corresponding transcript dataset is gathered from the Coursera MOOC platform. Two different CNN models are proposed: i) CNN based classification using embeddings learned from our MOOC dataset, ii) CNN based classification using transfer learning. Word embeddings generated from two well known state-of-the-art pre-trained models Word2Vec and GloVe, are used in the transfer learning approach for the second case.

    The proposed CNN models are evaluated using precision, recall, and F1 score and the obtained performance is compared with both conventional and deep learning classifiers. The proposed CNN models have an F1 score improvement of 10-22 percentage points over DNN and conventional classifiers

  • 35.
    Kastrati, Zenun
    et al.
    Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).
    Imran, Ali Shariq
    Norwegian University of Science and Technology, Norway.
    Kurti, Arianit
    Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).
    Weakly Supervised Framework for Aspect-Based Sentiment Analysis on Students' Reviews of MOOCs2020In: IEEE Access, E-ISSN 2169-3536, Vol. 8, p. 106799-106810Article in journal (Refereed)
    Abstract [en]

    Students' feedback is an effective mechanism that provides valuable insights about teaching-learning process. Handling opinions of students expressed in reviews is a quite labour-intensive and tedious task as it is typically performed manually by the human intervention. While this task may be viable for small-scale courses that involve just a few students' feedback, it is unpractical for large-scale cases as it applies to online courses in general, and MOOCs, in particular. Therefore, to address this issue, we propose in this paper a framework to automatically analyzing opinions of students expressed in reviews. Specifically, the framework relies on aspect-level sentiment analysis and aims to automatically identify sentiment or opinion polarity expressed towards a given aspect related to the MOOC. The proposed framework takes advantage of weakly supervised annotation of MOOC-related aspects and propagates the weak supervision signal to effectively identify the aspect categories discussed in the unlabeled students' reviews. Consequently, it significantly reduces the need for manually annotated data which is the main bottleneck for all deep learning techniques. A large-scale real-world education dataset containing around 105k students' reviews collected from Coursera and a dataset comprising of 5989 students' feedback in traditional classroom settings are used to perform experiments. The experimental results indicate that our proposed framework attains inspiring performance with respect to both the aspect category identification and the aspect sentiment classification. Moreover, the results suggest that the framework leads to more accurate results than the expensive and labour-intensive sentiment analysis techniques relying heavily on manually labelled data.

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  • 36.
    Kastrati, Zenun
    et al.
    Linnaeus University, Faculty of Technology, Department of Informatics. Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).
    Kurti, Arianit
    Linnaeus University, Faculty of Technology, Department of Informatics. Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).
    Dalipi, Fisnik
    Linnaeus University, Faculty of Technology, Department of Informatics.
    Ferati, Mexhid
    Linnaeus University, Faculty of Technology, Department of Informatics.
    Leveraging Topic Modeling to Investigate Learning Experience and Engagement of MOOC Completers2023In: Methodologies and Intelligent Systems for Technology Enhanced Learning, 13th International Conference: 13th International Conference. MIS4TEL 2023, Springer, 2023, p. 54-64Conference paper (Refereed)
    Abstract [en]

    The introduction of MOOCs raised the expectation of a disrupting potential within education systems. These expectations, however, have not been met, despite the fact that more than a decade has passed. The main reason seems to be the high dropout rate of students in Massive Open Online Courses (MOOCs). With the start of the COVID-19 pandemic, the context of education systems has changed dramatically, as all were forced to shift to an online mode of education. In these new settings and leveraging the advancement of Artificial Intelligence (AI), in this research work, we report the findings by analyzing 90,294 reviews of MOOC completers in two subjects: Information Technology (IT) and Business. Using topic modeling with transformers, we have discovered the key themes that characterize MOOC completers’ reviews. The results show that for IT and Business courses, completers are not interested only in completing the course and earning a certificate, but are also interested in various aspects related to the course, instructor, and assessment. Furthermore, completers suggest that having short videos is more engaging and allows them to easily understand the content and have the ability for quick review. An interesting finding is that the completers of IT courses rated highly the organization and delivery of labs and hands-on sessions. Based on these findings, we propose some avenues for further development for MOOCs that consider the completers’ views and could potentially increase the retention rate in the MOOC environment.

  • 37.
    Kastrati, Zenun
    et al.
    Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).
    Kurti, Arianit
    Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).
    Hagelbäck, Johan
    Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).
    The Effect of a Flipped Classroom in a SPOC: Students' Perceptions and Attitudes2019In: ICETC 2019: Proceedings of the 2019 11th International Conference on Education Technology and Computers, ACM Publications, 2019, p. 246-249Conference paper (Refereed)
    Abstract [en]

    The advent of Massive Open Online Courses (MOOCs) and Small Private Online Courses (SPOCs) has brought opportunities to higher education institutions. Despite this, one of the main drawbacks of MOOCs and SPOCs has been relatively low retention rate of the registered students. Having this in mind in this paper we report our research efforts with a SPOC on Applied Machine Learning specifically tailored for professional students. More concretely, we report our findings with regard to the effects of the flipped classroom approach on the students' perceptions and attitudes. The initial results show that flipping the class had direct effects on students' knowledge and skills compared to a fully online class setting. These findings have offered complementary explanations of the survey regression analysis which revealed that course structure/instructional approach followed by course content are the main drivers in accounting for the variance in students' overall perceptions of the course.

  • 38.
    Kastrati, Zenun
    et al.
    Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).
    Kurti, Arianit
    Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).
    Imran, Ali Shariq
    Norwegian University of Science and Technology, Norway.
    WET: Word embedding-topic distribution vectors for MOOC video lectures dataset2020In: Data in Brief, E-ISSN 2352-3409, Vol. 28, p. 1-6, article id 105090Article in journal (Refereed)
    Abstract [en]

    In this article, we present a dataset containing word embeddings and document topic distribution vectors generated from MOOCs video lecture transcripts. Transcripts of 12,032 video lectures from 200 courses were collected from Coursera learning platform. This large corpus of transcripts was used as input to two well-known NLP techniques, namely Word2Vec and Latent Dirichlet Allocation (LDA) to generate word embeddings and topic vectors, respectively. We used Word2Vec and LDA implementation in the Gensim package in Python. The data presented in this article are related to the research article entitled “Integrating word embeddings and document topics with deep learning in a video classification framework” [1]. The dataset is hosted in the Mendeley Data repository [2].

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  • 39.
    Kohen-Vacs, Dan
    et al.
    Linnaeus University, Faculty of Science and Engineering, School of Computer Science, Physics and Mathematics.
    Kurti, Arianit
    Linnaeus University, Faculty of Science and Engineering, School of Computer Science, Physics and Mathematics.
    Milrad, Marcelo
    Linnaeus University, Faculty of Science and Engineering, School of Computer Science, Physics and Mathematics.
    Ronen, Miky
    Holon Institute of Technology, Israel.
    Systems integration challenges for supporting cross context collaborative pedagogical scenarios2012In: Collaboration and Technology: 18th International Conference, CRIWG 2012 Raesfeld, Germany, September 16-19, 2012 Proceedings, Raesfeld: Springer, 2012, Vol. 7493, p. 184-191Conference paper (Refereed)
    Abstract [en]

    This paper discusses the potential and challenges of integrating collaborative and mobile technologies in order to support a wide variety of learning activities across contexts. We present and illustrate two examples of such integrations aiming to expand the functionalities of an existing CSCL environment by introducing mobile technologies. Our goal is to enable the design and enactment of pedagogical scenarios that include asynchronous learning, outdoor collaborative activities and tasks performed in class using personal response systems. These examples are used to identify and analyze different challenges related to software systems integration issues. The outcome of these efforts is a proposed cross context systems integration model that can serve as the basis for future work that leads towards the integration of additional mobile applications designed and implemented to support novel collaborative learning scenarios.

  • 40.
    Kohen-Vacs, Dan
    et al.
    Linnaeus University, Faculty of Science and Engineering, School of Computer Science, Physics and Mathematics.
    Ronen, Miky
    Holon Institute of Technology Holon, Israel.
    Bar-Ness, Orna
    aHolon Institute of Technology, Israel.
    Milrad, Marcelo
    Linnaeus University, Faculty of Science and Engineering, School of Computer Science, Physics and Mathematics.
    Kurti, Arianit
    Linnaeus University, Faculty of Science and Engineering, School of Computer Science, Physics and Mathematics.
    Integrating Collaborative and Mobile Technologies for Fostering Learning about Negotiation Styles2012In: Proceedings of the 20th international conference on computers in education ICCE 2012, Asia-Pacific Society for Computers in Education, 2012, p. 403-407Conference paper (Refereed)
    Abstract [en]

    The aim of this research is to develop a hands-on spatial geometry learning system to facilitate students’ geometry learning. The system is developed with Duval’s four critical elements of geometry apprehension including perceptual apprehension, sequential apprehension, operational apprehension and discursive apprehension. The system supports senior high school students in the process of spatial geometry problem-solving, allowing them to hands-on manipulate spatial geometry graphics and develop their visualization and mental imagery. In total, 58 participants from different classes were recruited. The experimental group used the hands-on learning system, whereas the control group followed the traditional paper-based approach. The study investigates the effects of the hands-on geometry learning system on students’ perceptual apprehension, sequential apprehension, operational apprehension, overall spatial geometry scores and learning attitude. The results revealed more learning attitude, and higher perceptual apprehension, sequential apprehension, operational apprehension in the experimental group. 

  • 41.
    Kurti, Arianit
    Växjö University, Faculty of Mathematics/Science/Technology, School of Mathematics and Systems Engineering. ISMT.
    Context Modeling to Support the Design of Mobile Learning2008In: The 5th International Conference on Soft Computing as Transdisciplinary Science and Technology, ACM, Association for Computing Machinery , 2008, p. 536-541Conference paper (Refereed)
  • 42.
    Kurti, Arianit
    Växjö University, Faculty of Mathematics/Science/Technology, School of Mathematics and Systems Engineering.
    Exploring the multiple dimensions of context: Implications for the design and development of innovative technology-enhanced learning environments2009Doctoral thesis, comprehensive summary (Other academic)
    Abstract [en]

    Technology evolution throughout history has initiated many changes in different aspects of human activities. Learning, as one of the most representative human activities has also been subject to these changes. Nowadays, the use of information and communication technologies has considerably changed the way people learn and collaborate. These changes have been accompanied by new approaches to support learning using a wide range of mobile devices, software applications and different communication platforms. In these technology rich landscapes, the notion of context emerges as a crucial component to be considered for the design and technical implementation of technology-enhanced learning environments. The main research question investigated in this thesis relates to the use of different context instantiations for the design and development of innovative technology-enhanced learning environments.This thesis is a collection of eight papers that describe the results of the research efforts conducted in four different experimental cases during a period of four years. These experiments have been designed and developed as part of two research projects. The theoretical foundations that guided this research were based on the view of context and interaction from a learning theory, human-computer-interaction perspective, as well as dimensional data modelling techniques. Different methodological approaches, (such as action-oriented, design-based research and case study) have been used while investigating the main research question. The main contribution that this thesis offers to the research community is a conceptual context model accompanied by a dimensional data model that can be used as a design tool for embedding learning activities in context. In the four trials that encompass my empirical work, the conceptual model proposed in the thesis guided the design and technical development of the different novel technology-enhanced learning activities. The outcomes of these efforts provided various insights regarding the use of different context instantiations that have implications for the design and development of these environments. This thesis advocates that computational context attributes should be used as metadata descriptors that would potentially promote personalization and interoperability of digital learning content. Content personalization offers opportunities for personalized learning that increases learners’ engagement and eventually could lead to better learning results. Furthermore, the research and industrial community could use the context model developed in this thesis as a guiding tool to promote the creation of new ways to personalize services and technologies.

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  • 43.
    Kurti, Arianit
    et al.
    Linnaeus University, Faculty of Technology, Department of Computer Science.
    Dalipi, Fisnik
    Linnaeus University, Faculty of Technology, Department of Computer Science. Linnaeus University.
    Bridging the Gap between Academia and Industry: Lessons Learned from a Graduate IT Professional Development Program2017In: Abstract Book: 2nd Annual International Conference on Engineering Education & Teaching, 5-8 June 2017, Athens, Greece / [ed] Gregory T. Papanikos, Athens, 2017, p. 27-27Conference paper (Other academic)
    Abstract [en]

    The rapid advances of technologies, constantly brings new demands for new skills and expertise of the professionals in IT industry. There is a constant need for people that have in-depth understanding and know how to develop the new innovative services using these new technologies. In these settings, the real challenge is how to find the right persons with the right education in an industry where the in-thing yesterday may be out-of-date tomorrow? To add to this challenge, universities are still “increasingly stove-piped in highly specialized disciplinary fields” (Hurlburt et al., 2010) as well as there is a lack of flexibility for the professionals to have their competences developed. All this points out the great challenges that universities are facing for alignment between academic development within degree curricula and the requirements that industry demands for their specific needs (Falcone et al. 2014). In this research effort we report our experiences from an ongoing Graduate Professional Development Program where we address these challenges through a co-creation process with IT industry based on open innovation. Through this model we bring together research expertise, academic experience and experts from industry in a collaborative process for developing courses to suit the current needs of IT professionals. As an outcome of this process, the course content is tailor-made, as well as everything else in connection, such as: bite-size modules, adjustable pace, open and online educational resources, as well as a flipped classroom approach to teaching. As a result, we have developed and provided so far five courses that have been very well accepted by the IT professional. Thus, in this paper we aim to provide some insights on approaches for facilitating continuous competence development plans for IT professionals within regular university educational offer. 

  • 44.
    Kurti, Arianit
    et al.
    Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).
    Dalipi, Fisnik
    Ferati, Mexhid
    Linnaeus University, Faculty of Technology, Department of Informatics.
    Kastrati, Zenun
    Linnaeus University, Faculty of Technology, Department of Informatics. Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).
    Increasing the Understandability and Explainability of Machine Learning and Artificial Intelligence Solutions: A Design Thinking Approach2021In: Human Interaction, Emerging Technologies and Future Applications: Proceedings of the 4th International Conference on Human Interaction and Emerging Technologies: Future Applications (IHIET – AI 2021), April 28-30, 2021, Strasbourg, France / [ed] Ahram T., Taiar R., Groff F, Strasbourg, France: Springer, 2021, p. 37-42Conference paper (Refereed)
    Abstract [en]

    Nowadays, Artificial Intelligence (AI) is proving to be successful for solving complex problems in various application domains. However, despite the numerous success stories of AI-systems, one challenge that characterizes these systems is that they often lack transparency in terms of understandability and explainability. In this study, we propose to address this challenge from the design thinking lens as a way to amplify human understanding of ML (Machine Learning) and AI algorithms. We exemplify our proposed approach by depicting a case based on a conventional ML algorithm applied on sentiment analysis of students’ feedback. This paper aims to contribute to the overall discourse of a need of innovation when it comes to the understandability and explainability of ML and AI solutions, especially since innovation is an inherent feature of design thinking.

  • 45.
    Kurti, Arianit
    et al.
    Växjö University, Faculty of Mathematics/Science/Technology, School of Mathematics and Systems Engineering. Informatik.
    Milrad, Marcelo
    Växjö University, Faculty of Mathematics/Science/Technology, School of Mathematics and Systems Engineering. Medieteknologi.
    Alserin, Fredrik
    Växjö University, Faculty of Mathematics/Science/Technology, School of Mathematics and Systems Engineering. Medieteknologi.
    Contextual Design of Mobile Services to Support Knowledge Workers in Library Settings.2006In: Sixth IEEE International Conference on Advanced Learning Technologies (ICALT'06), IEEE Computer Society, Los Alamitos, USA , 2006, p. 375-377Conference paper (Refereed)
  • 46.
    Kurti, Arianit
    et al.
    Växjö University, Faculty of Mathematics/Science/Technology, School of Mathematics and Systems Engineering. Informatik.
    Milrad, Marcelo
    Växjö University, Faculty of Mathematics/Science/Technology, School of Mathematics and Systems Engineering. Medieteknologi.
    Alserin, Fredrik
    Växjö University, Faculty of Mathematics/Science/Technology, School of Mathematics and Systems Engineering. Medieteknologi.
    Gustafsson, Jonas
    Växjö University, Faculty of Mathematics/Science/Technology, School of Mathematics and Systems Engineering. Medieteknologi.
    Designing and Implementing Ubiquitous Learning Activities Supported by Mobile and Positioning Technologies2006In: Proceedings of the IASTED CATE 2006 Conference, IASTED Publication, Calgary, Canada , 2006, p. 193-199Conference paper (Refereed)
  • 47.
    Kurti, Arianit
    et al.
    Växjö University, Faculty of Mathematics/Science/Technology, School of Mathematics and Systems Engineering. Medieteknik.
    Milrad, Marcelo
    Växjö University, Faculty of Mathematics/Science/Technology, School of Mathematics and Systems Engineering. Medieteknik.
    Spikol, Daniel
    Medieteknik.
    Designing Innovative Learning Activities Using Ubiquitous Computing2007In: Proceedings of the 7th IEEE International Conference on Advanced Learning Technologies, IEEE Computer Society, Los Alamitos, USA , 2007, p. 386-390Conference paper (Refereed)
  • 48.
    Kurti, Arianit
    et al.
    Växjö University, Faculty of Mathematics/Science/Technology, School of Mathematics and Systems Engineering. ISMT.
    Spikol, Daniel
    Växjö University, Faculty of Mathematics/Science/Technology, School of Mathematics and Systems Engineering. ISMT.
    Milrad, Marcelo
    Växjö University, Faculty of Mathematics/Science/Technology, School of Mathematics and Systems Engineering. ISMT.
    Bridging Outdoors and Indoors Educational Activities in Schools with the Support of Mobile and Positioning Technologies2008In: International Journal of Mobile Learning and Organization: Special Issue on Current Mobile Learning Technologies and Applications, ISSN 1746-7268, Vol. 2, no 2, p. 166-186Article in journal (Refereed)
  • 49.
    Kurti, Arianit
    et al.
    Växjö University, Faculty of Mathematics/Science/Technology, School of Mathematics and Systems Engineering. Informatik.
    Spikol, Daniel
    Växjö University, Faculty of Mathematics/Science/Technology, School of Mathematics and Systems Engineering. Medieteknologi.
    Milrad, Marcelo
    Växjö University, Faculty of Mathematics/Science/Technology, School of Mathematics and Systems Engineering. Medieteknologi.
    Flensburg, Per
    Växjö University, Faculty of Mathematics/Science/Technology, School of Mathematics and Systems Engineering. Informatik.
    Increasing the value of information: Putting content in context: is that enough?2006In: Proceedings of Information System Research Seminar, IRIS 29, 2006Conference paper (Other (popular science, discussion, etc.))
  • 50.
    Kurti, Arianit
    et al.
    Växjö University, Faculty of Mathematics/Science/Technology, School of Mathematics and Systems Engineering. Medieteknik.
    Spikol, Daniel
    Växjö University, Faculty of Mathematics/Science/Technology, School of Mathematics and Systems Engineering. Medieteknik.
    Milrad, Marcelo
    Växjö University, Faculty of Mathematics/Science/Technology, School of Mathematics and Systems Engineering. Medieteknik.
    Martin, Svensson
    Växjö University, Faculty of Mathematics/Science/Technology, School of Mathematics and Systems Engineering. Medieteknik.
    Pettersson, Oskar
    Växjö University, Faculty of Mathematics/Science/Technology, School of Mathematics and Systems Engineering. Medieteknik.
    Exploring How Pervasive Technologies Can Support Situated Learning2007In: Proceedings of “Pervasive Learning 2007”, An International Workshop on Pervasive Learning, in conjunction with Pervasive 2007, May 13th, 2007, Toronto, Canada, Centre for Mobile Computing, Massey University, New Zealand , 2007, p. 19-26Conference paper (Refereed)
12 1 - 50 of 69
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