Malmö University Publications
Planned maintenance
A system upgrade is planned for 10/12-2024, at 12:00-13:00. During this time DiVA will be unavailable.
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • 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
Evaluation of an Extendable Context-Aware "Learning Java" App with Personalized User Profiling
University of Mannheim, Germany.
Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT).
2018 (English)In: Technology, Knowledge and Learning, ISSN 2211-1662, E-ISSN 2211-1670, Vol. 23, no 2, p. 315-330Article in journal (Refereed) Published
Abstract [en]

In recent times, there has been an uptake of mobile learning (hereafter, abbreviated as m-learning), i.e. learning with mobile technologies, especially in the form of mobile apps. Apps are particularly useful as they are small applications usually with a single-purpose and allow the users to view learning content offline from their mobile devices. They can be a good supplement to formal learning/training and can be very efficient informal learning tools, allowing learners to learn anytime and anywhere. In this paper, we present our "Learning Java" app, which was designed based on the theoretical framework "context-aware personalized m-learning application with m-learning preferences" (Yau and Joy 2011). The app utilizes a personalized user profile consisting of location, noise and time of day, as well as the learner's knowledge level. Additionally, an understanding of different m-learning preferences by learners is represented in our app as their individual user profile, for example, a learner may concentrate the best in a quiet library and the app will select appropriate (more difficult and longer) material based on this information, as opposed to shorter and easier materials. Video materials are also used by learners. This app was tested by 40 volunteers; 10 of which completed a long questionnaire regarding the usage of the app in terms of personalized user profile, context-awareness factors and whether the app helped increase their motivation for learning and their learning effectiveness for the subject. The results highlighted that participants could optimize their spare times for most effective learning (e.g. video-watching with headphones) in busy and/or noisy environments. Findings also showed other chosen learning strategies by learners to make their learning more effective. Future work includes (1) extending the app for other subjects and disseminating it for use by remote learners, for example, those who are situated in developing countries without frequent access to wireless internet and/or educational materials, and (2) including learning analytical support to students to enhance their study success.

Place, publisher, year, edition, pages
Springer, 2018. Vol. 23, no 2, p. 315-330
Keywords [en]
Mobile learning, Context-awareness, Personalization, User profile, Learning analytics
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:mau:diva-2508DOI: 10.1007/s10758-017-9339-7ISI: 000435534300007Scopus ID: 2-s2.0-85030126870Local ID: 26690OAI: oai:DiVA.org:mau-2508DiVA, id: diva2:1399271
Available from: 2020-02-27 Created: 2020-02-27 Last updated: 2024-02-06Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Yau, Jane Yin-Kim

Search in DiVA

By author/editor
Yau, Jane Yin-Kim
By organisation
Department of Computer Science and Media Technology (DVMT)
In the same journal
Technology, Knowledge and Learning
Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 41 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • 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