Vol. 36 No. 6 (2020): AJET Special Issue: Learning Analytics: Pathways to Impact

Published: 2020-12-31

Editorial

Learning Analytics: Pathways to Impact

Linda Corrin, Maren Scheffel, Dragan Gašević

1-6
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Special Issue 2020 Learning Analytics: Pathways to Impact

Combining self-reported and observational measures to assess university student academic performance in blended course designs

Feifei Han, Robert Ellis

1-14
- 6369 Han Ellis
Students’ sense-making of personalised feedback based on learning analytics

Lisa-Angelique Lim, Shane Dawson, Dragan Gašević, Srećko Joksimović, Anthea Fudge, Abelardo Pardo, Sheridan Gentili

15-33
- 6370 Lim et al
Mobile-assisted language learning through learning analytics for self-regulated learning (MALLAS): A conceptual framework

Olga Viberg, Barbara Wasson, Agnes Kukulska-Hulme

34-52
- 6494 Olga et al
Deep neural networks for collaborative learning analytics: Evaluating team collaborations using student gaze point prediction

Zhang Guo, Roghayeh Barmaki

53-71
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Perspectives from the stakeholder: Students’ views regarding learning analytics and data collection

Deborah West, Ann Luzeckyj, Bill Searle, Danny Toohey, Jessica Vanderlelie, Kevin R. Bell

72-88
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Critical success factors for implementing learning analytics in higher education: A mixed-method inquiry

Jo-Anne Clark, Yulin Liu, Pedro Isaias

89-106
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Data in practice: A participatory approach to understanding pre-service teachers’ perspectives

Rita Prestigiacomo, Jane Hunter, Simon Knight, Roberto Martinez-Maldonado, Lori Lockyer

107-119
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