Analytics of self-regulated learning scaffolding: effects on learning processes

Autor: Tongguang Li, Yizhou Fan, Yuanru Tan, Yeyu Wang, Shaveen Singh, Xinyu Li, Mladen Raković, Joep van der Graaf, Lyn Lim, Binrui Yang, Inge Molenaar, Maria Bannert, Johanna Moore, Zachari Swiecki, Yi-Shan Tsai, David Williamson Shaffer, Dragan Gašević

Publikováno v: Frontiers in Psychology, Vol 14 (2023)

Self-regulated learning (SRL) is the ability to regulate cognitive, metacognitive, motivational, and emotional states while learning and is posited to be a strong predictor of academic success. It is therefore important to provide learners with effec

Externí odkaz: https://doaj.org/article/829cf7669d3d427ab174991fec4491a2

Harnessing the potential of trace data and linguistic analysis to predict learner performance in a multi-text writing task

Autor: Mladen Raković, Sehrish Iqbal, Tongguang Li, Yizhou Fan, Shaveen Singh, Surya Surendrannair, Jonathan Kilgour, Joep van der Graaf, Lyn Lim, Inge Molenaar, Maria Bannert, Johanna Moore, Dragan Gašević

Publikováno v: Journal of Computer Assisted Learning, 39, 3, pp. 703-718
Journal of Computer Assisted Learning, 39, 703-718

Contains fulltext : 287302.pdf (Publisher’s version ) (Open Access) Background: Assignments that involve writing based on several texts are challenging to many learners. Formative feedback supporting learners in these tasks should be informed by th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::91abab8290c53ef4fb7ac81967bfc7e0
https://hdl.handle.net/2066/287302

Towards investigating the validity of measurement of self-regulated learning based on trace data

Autor: Yizhou Fan, Joep van der Graaf, Lyn Lim, Mladen Raković, Shaveen Singh, Jonathan Kilgour, Johanna Moore, Inge Molenaar, Maria Bannert, Dragan Gašević

Publikováno v: Metacognition and Learning, 17, 949-987
Fan, Y, van der Graaf, J, Lim, L, Raković, M, Singh, S, Kilgour, J, Moore, J, Molenaar, I, Bannert, M & Gašević, D 2022, ' Towards investigating the validity of measurement of self-regulated learning based on trace data ', Metacognition and Learning, vol. 17, pp. 949-987 . https://doi.org/10.1007/s11409-022-09291-1
Metacognition and Learning, 17, 3, pp. 949-987

Contains fulltext : 250033.pdf (Publisher’s version ) (Open Access) Contemporary research that looks at self-regulated learning (SRL) as processes of learning events derived from trace data has attracted increasing interest over the past decade. Ho

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d09dee02487206d086c47322984db869
https://doi.org/10.1007/s11409-022-09291-1

Charting Design Needs and Strategic Approaches for Academic Analytics Systems through Co-Design

Autor: Yi-Shan Tsai, Shaveen Singh, Mladen Rakovic, Lisa-Angelique Lim, Anushka Roychoudhury, Dragan Gasevic

Publikováno v: LAK22: 12th International Learning Analytics and Knowledge Conference.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a76dff8bfc8545e0ab4bb5ad965212b8
https://doi.org/10.1145/3506860.3506939

Question-driven learning analytics: Designing a teacher dashboard for online breakout rooms

Autor: Tom Bartindale, Stanislav Pozdniakov, Patrick Olivier, Shaveen Singh, Roberto Martinez-Maldonado, Peter Chen, Dragan Gašević, Dan Richardson

Publikováno v: Proceedings 2021 International Conference on Advanced Learning Technologies (ICALT 2021), 176-178. [S.l.] : The Institute of Electrical and Electronics Engineers (IEEE)
STARTPAGE=176;ENDPAGE=178;TITLE=Proceedings 2021 International Conference on Advanced Learning Technologies (ICALT 2021)
Proceedings 2021 International Conference on Advanced Learning Technologies (ICALT 2021), pp. 176-178
ICALT

Item does not contain fulltext One of the ultimate goals of several learning analytics (LA) initiatives is to close the loop and support students' and teachers' reflective practices. Although there has been a proliferation of end-user interfaces (oft

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bd53b2c328a2dda0a0b597707523fa3d
http://hdl.handle.net/2066/240652