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2020 – today
- 2023
[c3]Mayara Simões de Oliveira Castro
, Rafael Ferreira Mello, Giuseppe Fiorentino, Olga Viberg, Daniel Spikol, Martine Baars, Dragan Gasevic:
Understanding Peer Feedback Contributions Using Natural Language Processing. EC-TEL 2023: 399-414- 2022
- [j5]Martine Baars, Olga Viberg:
Mobile Learning to Support Self-Regulated Learning: A Theoretical Review. Int. J. Mob. Blended Learn. 14(4): 1-12 (2022) - 2021
- [j4]Jacqueline Wong, Martine Baars, Björn B. de Koning, Fred Paas:
Examining the use of prompts to facilitate self-regulated learning in Massive Open Online Courses. Comput. Hum. Behav. 115: 106596 (2021) - [j3]Jacqueline Wong, Martine Baars, Min He, Björn B. de Koning, Fred Paas:
Facilitating goal setting and planning to enhance online self-regulation of learning. Comput. Hum. Behav. 124: 106913 (2021) - [c2]Gabrielle Martins Van Jaarsveld, Jacqueline Wong, Martine Baars, Fred Paas, Marcus Specht:
Learning analytics supported goal setting in online learning environments. EC-TEL (Doctoral Consortium) 2021: 4-14 - 2020
- [c1]Olga Viberg, Mohammad Khalil, Martine Baars:
Self-regulated learning and learning analytics in online learning environments: a review of empirical research. LAK 2020: 524-533
2010 – 2019
- 2019
- [j2]Jacqueline Wong, Mohammad Khalil, Martine Baars, Björn B. de Koning, Fred Paas:
Exploring sequences of learner activities in relation to self-regulated learning in a massive open online course. Comput. Educ. 140 (2019) - [j1]Jacqueline Wong, Martine Baars, Dan Davis, Tim Van der Zee, Geert-Jan Houben, Fred Paas:
Supporting Self-Regulated Learning in Online Learning Environments and MOOCs: A Systematic Review. Int. J. Hum. Comput. Interact. 35(4-5): 356-373 (2019)
Coauthor Index
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