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Improving the measurement of self-regulated learning using multi-channel data, , , , , , , , и . Metacognition and Learning, (июня 2022)Towards a fuller picture: Triangulation and integration of the measurement of self-regulated learning based on trace and think aloud data., , , , , , , , и . J. Comput. Assist. Learn., 39 (4): 1303-1324 (2023)Do Instrumentation Tools Capture Self-Regulated Learning?, , , , , , , и . LAK, стр. 438-448. ACM, (2021)Towards investigating the validity of measurement of self-regulated learning based on trace data, , , , , , , , , и . Metacognition and Learning, (04.05.2022)Effects of Internal and External Conditions on Strategies of Self-regulated Learning: A Learning Analytics Study., , , , , , , , , и 3 other автор(ы). LAK, стр. 392-403. ACM, (2022)Effects of real-time analytics-based personalized scaffolds on students' self-regulated learning., , , , , , , , , и . Comput. Hum. Behav., (2023)Harnessing the potential of trace data and linguistic analysis to predict learner performance in a multi-text writing task., , , , , , , , , и 3 other автор(ы). J. Comput. Assist. Learn., 39 (3): 703-718 (июня 2023)Using Learner Trace Data to Understand Metacognitive Processes in Writing from Multiple Sources., , , , , , , , , и . LAK, стр. 130-141. ACM, (2022)GWASdb: a database for human genetic variants identified by genome-wide association studies., , , , , , , , , и . Nucleic Acids Res., 40 (Database-Issue): 1047-1054 (2012)