Sustainable Mobile Learning and Learning Analytics
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Education and Approaches".
Deadline for manuscript submissions: closed (31 March 2023) | Viewed by 31931
Special Issue Editors
Interests: technology-enhanced learning; game-based learning; educational robotics; computational thinking; coding; STEM; machine learning; artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Interests: early years science education; ICT in early years; mobile learning; STEM education
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The evaluation of mobile learning remains an open research issue, especially regarding activities outside the classroom. One of the main challenges in the field of technology-enhanced learning is the recognition of the activities and contexts of learners. Learning analytics are driven by the collection and analysis of traces that learners leave behind. Indeed, learning analytics can be served in every feature phone via SMS notifications or in powerful smartphones via richer visualizations or statistics. It can help to elucidate and optimize the learning process and the environments in which it occurs. To date, learning analytics has mostly been fed back to users through web-based learning dashboards.
In this context, learning analytics can provide answers and offer the appropriate tools for enhancing mobile learning experiences. In this issue, we invite studies using learning analytics techniques to support educational decision making designed by extending the results of well-established studies in this field to deal with the complexity of mobile learning.
Dr. Stamatios Papadakis
Prof. Dr. Michail Kalogiannakis
Guest Editors
Manuscript Submission Information
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Keywords
- mobile learning
- learning analytics
- formal learning
- informal learning
- mobile learning experiences
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