Challenges and opportunities of multimodal data in human learning: The computer science students' perspective

Multimodal data have the potential to explore emerging learning practices that extend human cognitive capacities. A critical issue stretching in many multimodal learning analytics (MLA) systems and studies is the current focus aimed at supporting researchers to model learner behaviours, rather than...

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Bibliographic Details
Published in:Journal of computer assisted learning 2021-08, Vol.37 (4), p.1030-1047
Main Authors: Mangaroska, Katerina, Martinez‐Maldonado, Roberto, Vesin, Boban, Gašević, Dragan
Format: Article
Language:English
Subjects:
Authentic Learning
Computer science
Computer Science Education
Context
Designers
Education
Educational technology
Ethics
Guidelines
higher education
human‐centred analytics
Learning
Learning Analytics
Learning Modalities
Measurement Equipment
multimodal learning analytics
pervasive surveillance
privacy
Qualitative analysis
Student Attitudes
Students
thematic analysis
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