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Hilpert, Jonathan C.; Greene, Jeffrey A.; Bernacki, Matthew – British Journal of Educational Technology, 2023
Capturing evidence for dynamic changes in self-regulated learning (SRL) behaviours resulting from interventions is challenging for researchers. In the current study, we identified students who were likely to do poorly in a biology course and those who were likely to do well. Then, we randomly assigned a portion of the students predicted to perform…
Descriptors: Learning Theories, Independent Study, Artificial Intelligence, Biology
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Vettori, Giulia; Vezzani, Claudio; Bigozzi, Lucia; Pinto, Giuliana – Journal of Educational Research, 2020
The relations between more surface- or deep-level learning approaches and academic achievement were investigated. Gender, level of study, and type of schools were moderating variables. 170 upper-secondary school students' conceptions of learning and their chosen learning strategies were explored via two self-report questionnaires. Furthermore,…
Descriptors: Secondary School Students, Student Attitudes, Gender Differences, Academic Achievement
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Pardo, Abelardo; Han, Feifei; Ellis, Robert A. – IEEE Transactions on Learning Technologies, 2017
Self-regulated learning theories are used to understand the reasons for different levels of university student academic performance. Similarly, learning analytics research proposes the combination of detailed data traces derived from technology-mediated tasks with a variety of algorithms to predict student academic performance. The former approach…
Descriptors: Student Centered Learning, Learning Theories, College Students, Academic Achievement