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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)Using Learner Trace Data to Understand Metacognitive Processes in Writing from Multiple Sources., , , , , , , , , and . LAK, page 130-141. ACM, (2022)Facilitating Self-Regulated Learning with Personalized Scaffolds on Student's own Regulation Activities., , , , , , and . CrossMMLA@LAK, volume 2610 of CEUR Workshop Proceedings, page 46-48. CEUR-WS.org, (2020)Improving the measurement of self-regulated learning using multi-channel data, , , , , , , , and . Metacognition and Learning, (June 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)Towards investigating the validity of measurement of self-regulated learning based on trace data, , , , , , , , , and . Metacognition and Learning, (May 4, 2022)Effects of real-time analytics-based personalized scaffolds on students' self-regulated learning., , , , , , , , , and . Comput. Hum. Behav., (2023)Effects of Internal and External Conditions on Strategies of Self-regulated Learning: A Learning Analytics Study., , , , , , , , , and 3 other author(s). LAK, page 392-403. ACM, (2022)Do Instrumentation Tools Capture Self-Regulated Learning?, , , , , , , and . LAK, page 438-448. ACM, (2021)Discovering the laws of physics with a serious game in kindergarten., , and . Comput. Educ., (2016)