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Zhang Yingbin; Paquette, Luc; Baker, Ryan S.; Ocumpaugh, Jaclyn; Bosch, Nigel; Biswas, Gautam; Munshi, Anabil – Journal of Learning Analytics, 2021
Confusion may benefit learning when it is resolved or partially resolved. Metacognitive strategies (MS) may help learners to resolve confusion when it occurs during learning and problem solving. This study examined the relationship between confusion and MS that students evoked in Betty's Brain, a computer-based learning-by-modelling environment…
Descriptors: Metacognition, Brain, Grade 6, Emotional Response
Kivimäki, Ville; Pesonen, Joonas; Romanoff, Jani; Remes, Heikki; Ihantola, Petri – Journal of Learning Analytics, 2019
The collection and selection of the data used in learning analytics applications deserve more attention. Optimally, selection of data should be guided by pedagogical purposes instead of data availability. Using design science research methodology, we designed an artifact to collect time-series data on students' self-regulated learning and…
Descriptors: Concept Mapping, Diaries, Data Collection, Independent Study
Segedy, James R.; Kinnebrew, John S.; Biswas, Gautam – Journal of Learning Analytics, 2015
Researchers have long recognized the potential benefits of open-ended computer- based learning environments (OELEs) to help students develop self-regulated learning (SRL) behaviours. However, measuring self-regulation in these environments is a difficult task. In this paper, we present our work in developing and evaluating "coherence…
Descriptors: Educational Environment, Computer Assisted Instruction, Independent Study, Learning Strategies