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Towards a fuller picture: Triangulation and integration of the measurement of self-regulated learning based on trace and think aloud data.

, , , , , , , , and . J. Comput. Assist. Learn., 39 (4): 1303-1324 (2023)

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Is it a good move? Mining effective tutoring strategies from human-human tutorial dialogues., , , , , , and . Future Gener. Comput. Syst., (2022)Using process mining to analyse self-regulated learning: a systematic analysis of four algorithms., , , , and . LAK, page 333-343. ACM, (2021)Harnessing the potential of trace data and linguistic analysis to predict learner performance in a multi-text writing task., , , , , , , , , and 3 other author(s). J. Comput. Assist. Learn., 39 (3): 703-718 (June 2023)Exploring the Potential of Social Annotations for Predictive and Descriptive Analytics.. ITiCSE, page 247-248. ACM, (2019)Question-driven Learning Analytics: Designing a Teacher Dashboard for Online Breakout Rooms., , , , , , , and . ICALT, page 176-178. IEEE, (2021)Using Learner Trace Data to Understand Metacognitive Processes in Writing from Multiple Sources., , , , , , , , , and . LAK, page 130-141. ACM, (2022)Towards a fuller picture: Triangulation and integration of the measurement of self-regulated learning based on trace and think aloud data., , , , , , , , and . J. Comput. Assist. Learn., 39 (4): 1303-1324 (2023)A learning analytic approach to unveiling self-regulatory processes in learning tactics., , , , and . LAK, page 184-195. ACM, (2021)UserFlow: A Tool for Visualizing Fine-grained Contextual Analytics in Teaching Documents., , and . ITiCSE, page 384-390. ACM, (2020)Leveraging Student Self-reports to Predict Learning Outcomes.. AIED (2), volume 11626 of Lecture Notes in Computer Science, page 398-403. Springer, (2019)