lnu.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Implementing and Validating a Mobile Learning Scenario Using Contextualized Learning Objects
Linnaeus University, Faculty of Technology, Department of Media Technology. (CeLeKT)ORCID iD: 0000-0001-9062-1609
Linnaeus University, Faculty of Technology, Department of Media Technology. University of Applied Sciences Ruhr Wes, Germany. (CeLeKT)ORCID iD: 0000-0001-7072-1063
Linnaeus University, Faculty of Technology, Department of Media Technology. (CeLeKT)ORCID iD: 0000-0002-6937-345X
2014 (English)In: Proceedings of the 22nd International Conference on Computers in Education ICCE 2014: November 30, 2014 - December 4, 2014, Nara, Japan, Japan: Asia-Pacific Society for Computers in Education, 2014, 522-527 p.Conference paper, Published paper (Refereed)
Abstract [en]

Substantial research in the field of mobile learning has explored aspects related to contextualized learning scenarios. Nevertheless, the current context of a mobile learner has been often limited to his/her current position, neglecting the possibilities offered by modern mobile devices of providing a much richer representation of the current learner´s context. In this paper, we show that a detailed contextualization of the learner may provide benefits in mobile learning scenarios. In order to validate this claim, we implemented a mobile learning scenario based on an approach that allows for a very rich and detailed contextualization of the mobile learner. The scenario that we implemented allowed exchange students to be guided at Linnaeus University in Växjö, Sweden in order to get familiar with the campus and prominent institutions on it. We carried out a study including two groups; one that performed learning activities with contextualization support and one other without it. The results of our evaluation showed significantly better results for the contextualized approach, especially with respect to the acceptance of the Perceived Ease of Use.

Place, publisher, year, edition, pages
Japan: Asia-Pacific Society for Computers in Education, 2014. 522-527 p.
Keyword [en]
mobile learning scenarios; learning objects; contextualization; cross-platform development
National Category
Computer Science
Research subject
Computer and Information Sciences Computer Science, Media Technology
Identifiers
URN: urn:nbn:se:lnu:diva-38612Scopus ID: 2-s2.0-84923923652ISBN: 978-4-9908014-1-0 (print)OAI: oai:DiVA.org:lnu-38612DiVA: diva2:771881
Conference
The 22nd International Conference on Computers in Education (ICCE), November 30, 2014 to December 4, 2014, Nara, Japan
Available from: 2014-12-15 Created: 2014-12-15 Last updated: 2017-02-22Bibliographically approved
In thesis
1. A Rich Context Model: Design and Implementation
Open this publication in new window or tab >>A Rich Context Model: Design and Implementation
2017 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

The latest developments of mobile devices include a variety of hardware features that allow for more rich data collection and services. Numerous sensors, Internet connectivity, low energy Bluetooth connectivity to other devices (e.g., smart watches, activity tracker, health data monitoring devices) are just some examples of hardware that helps to provide additional information that can be beneficially used for many application domains. Among others, they could be utilized in mobile learning scenarios (for data collection in science education, field trips), in mobile health scenarios (for health data collection and monitoring the health state of patients, changes in health conditions and/or detection of emergency situations), and in personalized recommender systems. This information captures the current context situation of the user that could help to make mobile applications more personalized and deliver a better user experience. Moreover, the context related information collected by the mobile device and the different applications can be enriched by using additional external information sources (e.g., Web Service APIs), which help to describe the user’s context situation in more details.

The main challenge in context modeling is the lack of generalization at the core of the model, as most of the existing context models depend on particular application domains or scenarios. We tackle this challenge by conceptualizing and designing a rich generic context model. In this thesis, we present the state of the art of recent approaches used for context modeling and introduce a rich context model as an approach for modeling context in a domain-independent way. Additionally, we investigate whether context information can enhance existing mobile applications by making them sensible to the user’s current situation. We demonstrate the reusability and flexibility of the rich context model in a several case studies. The main contributions of this thesis are: (1) an overview of recent, existing research in context modeling for different application domains; (2) a theoretical foundation of the proposed approach for modeling context in a domain-independent way; (3) several case studies in different mobile application domains.

Place, publisher, year, edition, pages
Växjö: Faculty of Technology, Linnaeus University, 2017. 103 p.
Series
Reports: Linnaeus University, Faculty of Technology, 48
Keyword
Context modeling, rich context model, mobile users, current context of the user, mobile sensors, multidimensional vector space model, contextualization
National Category
Computer Systems
Research subject
Computer and Information Sciences Computer Science, Media Technology
Identifiers
urn:nbn:se:lnu:diva-60850 (URN)978-91-88357-62-5 (ISBN)
Presentation
2017-02-17, C1202, Växjö, 09:15 (English)
Opponent
Supervisors
Available from: 2017-02-24 Created: 2017-02-22 Last updated: 2017-09-01Bibliographically approved

Open Access in DiVA

No full text

Other links

ScopusFulltext

Search in DiVA

By author/editor
Sotsenko, AlisaJansen, MarcMilrad, Marcelo
By organisation
Department of Media Technology
Computer Science

Search outside of DiVA

GoogleGoogle Scholar

Total: 180 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf