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
Making Use of User-Generated Content and Contextual Metadata Collected during Ubiquitous Learning Activities
Växjö University, Faculty of Mathematics/Science/Technology, School of Mathematics and Systems Engineering. (CeLeKT)
Växjö University, Faculty of Mathematics/Science/Technology, School of Mathematics and Systems Engineering. (CeLeKT)
2008 (English)In: Eighth IEEE International Conference on Advanced Learning Technologies, IEEE Press, 2008, p. 606-610Conference paper, Published paper (Refereed)
Abstract [en]

During the last years significant research efforts have been conducted looking at how to standardize digital educational content. Due to better connectivity and computational power of mobile devices, new opportunities have emerged for collecting user-generated data based on the context and the environment where the content has been generated. While metadata standards for learning objects such as IEEE LOM make it possible to annotate digital content with pre-defined metadata tags, the ability to store custom user-generated or contextual metadata is not yet fully supported. The need for developing a flexible solution to deal with these problems motivated the design of our activity controller system (ACS), a rapid prototyping system and a task manager, which interprets, reacts to and stores contextual metadata and content extracted during learning activities. This paper presents how ACS facilitates coordination and reusability of user generated data, which we believe is as a valuable feature compared with existing standards and initiatives.

Place, publisher, year, edition, pages
IEEE Press, 2008. p. 606-610
National Category
Computer Sciences
Research subject
Computer and Information Sciences Computer Science, Media Technology
Identifiers
URN: urn:nbn:se:vxu:diva-3680DOI: 10.1109/ICALT.2008.169ISBN: 978-0-7695-3167-0 (print)OAI: oai:DiVA.org:vxu-3680DiVA, id: diva2:203637
Available from: 2008-12-08 Created: 2008-12-08 Last updated: 2018-01-13Bibliographically approved
In thesis
1. Promoting Semantic Interoperability of Contextual Metadata for Learner Generated Digital Content
Open this publication in new window or tab >>Promoting Semantic Interoperability of Contextual Metadata for Learner Generated Digital Content
2010 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

Technological advancements in computing have led to a reality where computational devices are more mobile, connected and context aware than ever before. Several of these devices are primarily designed for or support the creation of digital content via built-in or attachable sensors, e.g. mobile phones. The portability and connectivity of mobile devices make them suitable tools to support learning experiences; their features can be used to generate digital content and metadata related to the particular learning situation. These types of objects, referred to as Emerging Learning Objects (ELOs), introduce challenges in terms of metadata enrichment as their metadata should reflect aspects related to the particular learning situation in which they were created to be properly indexed. A claim made in this thesis is that semantic interoperability of ELO metadata is an integral concern that needs to be explored in order to benefit from these metadata outside custom tailored applications and systems. Therefore, the main research question explored in this thesis focuses on the ability to enrich ELOs with semantically interoperable contextual metadata.

This thesis is comprised of a collection of five peer-reviewed articles that describe interrelated stages of research in pursuit of an answer to the main research question. The overall research process consisted of three main stages: a literature review; the development a system artefact; and the exploration of the technological solution (Linked Data) applied in the system artefact. An instantiation of the Unified Process guided the development of the system artefact.

The outcomes of these activities provide insights on how to perceive the relationship between context and contextual metadata, as well as properties related to a particular technological solution, namely data distribution, flexibility and expressivity. In order to decouple the findings from a particular instance of technology, a generalization effort in the analysis identified two generic factors that affect the semantic interoperability of metadata: the level of ontological consensus and the level of metadata expressivity. The main conclusion of this thesis is that until the constituent parts of context are agreed upon, metadata expressivity is an important feature for promoting semantic interoperability of ELO contextual metadata.Technological advancements in computing have led to a reality where computational devices are more mobile, connected and context aware than ever before. Several of these devices are primarily designed for or support the creation of digital content via built-in or attachable sensors, e.g. mobile phones. The portability and connectivity of mobile devices make them suitable tools to support learning experiences; their features can be used to generate digital content and metadata related to the particular learning situation. These types of objects, referred to as Emerging Learning Objects (ELOs), introduce challenges in terms of metadata enrichment as their metadata should reflect aspects related to the particular learning situation in which they were created to be properly indexed. A claim made in this thesis is that semantic interoperability of ELO metadata is an integral concern that needs to be explored in order to benefit from these metadata outside custom tailored applications and systems. Therefore, the main research question explored in this thesis focuses on the ability to enrich ELOs with semantically interoperable contextual metadata. This thesis is comprised of a collection of five peer-reviewed articles that describe interrelated stages of research in pursuit of an answer to the main research question. The overall research process consisted of three main stages: a literature review; the development a system artefact; and the exploration of the technological solution (Linked Data) applied in the system artefact. An instantiation of the Unified Process guided the development of the system artefact.The outcomes of these activities provide insights on how to perceive the relationship between context and contextual metadata, as well as properties related to a particular technological solution, namely data distribution, flexibility and expressivity. In order to decouple the findings from a particular instance of technology, a generalization effort in the analysis identified two generic factors that affect the semantic interoperability of metadata: the level of ontological consensus and the level of metadata expressivity. The main conclusion of this thesis is that until the constituent parts of context are agreed upon, metadata expressivity is an important feature for promoting semantic interoperability of ELO contextual metadata.

Place, publisher, year, edition, pages
Linnéuniversitetet, 2010
Keyword
metadata, contextual metadata, user-generated content
National Category
Computer Sciences
Research subject
Computer and Information Sciences Computer Science, Media Technology
Identifiers
urn:nbn:se:lnu:diva-8453 (URN)
Presentation
2010-08-25, D1136, Linnéuniversitetet, Växjö, 09:15 (English)
Opponent
Supervisors
Available from: 2010-09-16 Created: 2010-09-16 Last updated: 2018-01-12Bibliographically approved
2. Towards a Mobile Learning Software Ecosystem
Open this publication in new window or tab >>Towards a Mobile Learning Software Ecosystem
2011 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

The ability to carry communication services around, combined with the ubiquitous presence of computing technology, affects everything we do from how we pay for things to how we expect to interact with public institutions such as schools. There are now plenty of systems that convey education by utilizing mobile devices. As an extension of technology moving towards ubiquity, there are efforts aiming to bring this to an educational use as well. Efforts in this direction are channelized in the field of mobile learning. The speed of technological development, and the possibilities it brings introduces a large number of challenges when implemented in educational settings. These challenges can be related to for example pedagogical aspects, tools, implementations and organizations. Recent developments including the notions of learning ecosystems, learning landscapes and organizations suggest that the domain of mobile learning can be negatively affected from the lack of a systematic reuse approach. This thesis pursues these challenges by investigating how systematic reuse can be promoted in mobile learning systems.

A collection of five peer-reviewed publications that elaborates on the different stages of the research process pursuing the main research question forms the core of this thesis. This research process includes a survey stage, elaborating on different aspects related to reuse and mobile learning, an analysis stage that resulted in a descriptive model and several additional domain models; and finally a stage where the descriptive model is refined into a reference model for mobile learning ecosystems. The outcomes of these activities and the analysis of these results provide some fundamental building blocks regarding how to approach the challenge of reuse in mobile learning systems. The proposed reference model can be considered as the first step towards the creation of a common vocabulary that can be used to compare Software Ecosystems within the domain of mobile learning. 

Place, publisher, year, edition, pages
Linnéuniversitetet, 2011
Keyword
Technology-Enhanced Learning, Mobile Learning, Software Reuse, Software Ecosystem, Domain analysis
National Category
Computer Sciences
Research subject
Computer and Information Sciences Computer Science, Media Technology
Identifiers
urn:nbn:se:lnu:diva-16595 (URN)
Presentation
2011-06-10, D1136, Växjö, 13:15 (English)
Opponent
Supervisors
Available from: 2012-01-09 Created: 2012-01-04 Last updated: 2018-01-12Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full text

Authority records BETA

Svensson, MartinPettersson, Oskar

Search in DiVA

By author/editor
Svensson, MartinPettersson, Oskar
By organisation
School of Mathematics and Systems Engineering
Computer Sciences

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 219 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