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2020 – today
- 2024
[j7]Lyn Lim
, Maria Bannert, Joep van der Graaf, Yizhou Fan, Mladen Rakovic, Shaveen Singh, Inge Molenaar, Dragan Gasevic:
How do students learn with real-time personalized scaffolds? Br. J. Educ. Technol. 55(4): 1309-1327 (2024)- [j6]Ikenna Osakwe, Guanliang Chen, Yizhou Fan, Mladen Rakovic, Shaveen Singh, Lyn Lim, Joep van der Graaf, Johanna D. Moore, Inge Molenaar, Maria Bannert, Alexander Whitelock-Wainwright, Dragan Gasevic:
Towards prescriptive analytics of self-regulated learning strategies: A reinforcement learning approach. Br. J. Educ. Technol. 55(4): 1747-1771 (2024) - [e1]Martin Hlosta, Ivan Moser, Brendan Flanagan, Gloria Milena Fernández Nieto, Lixiang Yan, Angela Stewart, Amir Winer, Nitza Geri, Umesh Ramnarain, Christo van der Westhuizen, Atsushi Shimada, Fumiya Okubo, Hsiao-Ting Tseng, Albert C. M. Yang, Owen H. T. Lu, Hiroaki Ogata, Vanessa Echeverría, Roberto Martínez Maldonado, Yi-Shan Tsai, LuEttaMae Lawrence, Shaveen Singh, Stanislav Pozdniakov, Lujie Karen Chen, Jiaqi Gong, Louise Yarnall, Andy Nguyen, Lele Sha, Jionghao Lin, Mutlu Cukurova, Kshitij Sharma, Linxuan Zhao, Yuheng Li, Yueqiao Jin, Dragan Gasevic, Caitlin Mills, Stephen Hutt:
Joint Proceedings of LAK 2024 Workshops co-located with 14th International Conference on Learning Analytics and Knowledge (LAK 2024), Kyoto, Japan, March 18-22, 2024. CEUR Workshop Proceedings 3667, CEUR-WS.org 2024 [contents] - 2023
- [j5]Ikenna Osakwe, Guanliang Chen, Yizhou Fan, Mladen Rakovic, Xinyu Li, Shaveen Singh, Inge Molenaar, Maria Bannert, Dragan Gasevic:
Reinforcement learning for automatic detection of effective strategies for self-regulated learning. Comput. Educ. Artif. Intell. 5: 100181 (2023) - [j4]Lyn Lim, Maria Bannert, Joep van der Graaf, Shaveen Singh, Yizhou Fan, Surya Surendrannair, Mladen Rakovic, Inge Molenaar, Johanna D. Moore, Dragan Gasevic:
Effects of real-time analytics-based personalized scaffolds on students' self-regulated learning. Comput. Hum. Behav. 139: 107547 (2023) - [j3]Mladen Rakovic, Sehrish Iqbal, Tongguang Li, Yizhou Fan, Shaveen Singh, Surya Surendrannair, Jonathan Kilgour, Joep van der Graaf, Lyn Lim, Inge Molenaar, Maria Bannert, Johanna D. Moore, Dragan Gasevic:
Harnessing the potential of trace data and linguistic analysis to predict learner performance in a multi-text writing task. J. Comput. Assist. Learn. 39(3): 703-718 (2023) - [j2]Yizhou Fan, Mladen Rakovic, Joep van der Graaf, Lyn Lim, Shaveen Singh, Johanna D. Moore, Inge Molenaar, Maria Bannert, Dragan Gasevic:
Towards a fuller picture: Triangulation and integration of the measurement of self-regulated learning based on trace and think aloud data. J. Comput. Assist. Learn. 39(4): 1303-1324 (2023) - 2022
- [j1]Jionghao Lin, Shaveen Singh, Lele Sha, Wei Tan, David Lang, Dragan Gasevic, Guanliang Chen:
Is it a good move? Mining effective tutoring strategies from human-human tutorial dialogues. Future Gener. Comput. Syst. 127: 194-207 (2022) - [c10]Mladen Rakovic, Yizhou Fan, Joep van der Graaf, Shaveen Singh, Jonathan Kilgour, Lyn Lim, Johanna D. Moore, Maria Bannert, Inge Molenaar, Dragan Gasevic:
Using Learner Trace Data to Understand Metacognitive Processes in Writing from Multiple Sources. LAK 2022: 130-141 - [c9]Yi-Shan Tsai, Shaveen Singh, Mladen Rakovic, Lisa-Angelique Lim, Anushka Roychoudhury, Dragan Gasevic:
Charting Design Needs and Strategic Approaches for Academic Analytics Systems through Co-Design. LAK 2022: 381-391 - [c8]Namrata Srivastava, Yizhou Fan, Mladen Rakovic, Shaveen Singh, Jelena Jovanovic, Joep van der Graaf, Lyn Lim, Surya Surendrannair, Jonathan Kilgour, Inge Molenaar, Maria Bannert, Johanna D. Moore, Dragan Gasevic:
Effects of Internal and External Conditions on Strategies of Self-regulated Learning: A Learning Analytics Study. LAK 2022: 392-403 - 2021
- [c7]Stanislav Pozdniakov, Roberto Martínez Maldonado, Shaveen Singh, Peter Chen, Dan Richardson, Tom Bartindale, Patrick Olivier, Dragan Gasevic:
Question-driven Learning Analytics: Designing a Teacher Dashboard for Online Breakout Rooms. ICALT 2021: 176-178 - [c6]Yizhou Fan, John Saint, Shaveen Singh, Jelena Jovanovic, Dragan Gasevic:
A learning analytic approach to unveiling self-regulatory processes in learning tactics. LAK 2021: 184-195 - [c5]John Saint, Yizhou Fan, Shaveen Singh, Dragan Gasevic, Abelardo Pardo:
Using process mining to analyse self-regulated learning: a systematic analysis of four algorithms. LAK 2021: 333-343 - 2020
- [c4]Shaveen Singh, Bernd Meyer, Michael Wybrow:
UserFlow: A Tool for Visualizing Fine-grained Contextual Analytics in Teaching Documents. ITiCSE 2020: 384-390
2010 – 2019
- 2019
- [c3]Shaveen Singh:
Leveraging Student Self-reports to Predict Learning Outcomes. AIED (2) 2019: 398-403 - [c2]Shaveen Singh:
Exploring the Potential of Social Annotations for Predictive and Descriptive Analytics. ITiCSE 2019: 247-248 - [c1]Shaveen Singh, Bernd Meyer:
Using Social Annotations to Augment the Learning Space and Learner Experience. ITiCSE 2019: 527-533
Coauthor Index
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