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[HTML][HTML] A systematic review of the role of learning analytics in enhancing feedback practices in higher education
Learning analytics (LA) offers new opportunities to enrich feedback practices in higher
education, but little is understood about the ways different LA can enhance feedback …
education, but little is understood about the ways different LA can enhance feedback …
[HTML][HTML] Self-regulated learning partially mediates the effect of self-regulated learning interventions on achievement in higher education: A meta-analysis
It is often assumed that interventions aimed at supporting students' self-regulated learning
(SRL) are effective for improving achievement because these interventions support SRL …
(SRL) are effective for improving achievement because these interventions support SRL …
Learning analytics to unveil learning strategies in a flipped classroom
Prior education studies have consistently emphasized the importance of sustained and
active student engagement to aid academic performance and achievement of learning …
active student engagement to aid academic performance and achievement of learning …
Let's not forget: Learning analytics are about learning
The analysis of data collected from the interaction of users with educational and information
technology has attracted much attention as a promising approach for advancing our …
technology has attracted much attention as a promising approach for advancing our …
Features students really expect from learning analytics
More and more learning in higher education settings is being facilitated through online
learning environments. Students' ability to self-regulate their learning is considered a key …
learning environments. Students' ability to self-regulate their learning is considered a key …
Mining theory-based patterns from Big data: Identifying self-regulated learning strategies in Massive Open Online Courses
Big data in education offers unprecedented opportunities to support learners and advance
research in the learning sciences. Analysis of observed behaviour using computational …
research in the learning sciences. Analysis of observed behaviour using computational …
[HTML][HTML] Temporally-focused analytics of self-regulated learning: A systematic review of literature
We present a systematic literature review of data-driven self-regulated learning (SRL) that
emphasises the methodological importance of temporality and sequence, as opposed to …
emphasises the methodological importance of temporality and sequence, as opposed to …
Identifying significant indicators using LMS data to predict course achievement in online learning
JW You - The Internet and Higher Education, 2016 - Elsevier
This study sought to identify significant behavioral indicators of learning using learning
management system (LMS) data regarding online course achievement. Because self …
management system (LMS) data regarding online course achievement. Because self …
Self-regulated learning strategies predict learner behavior and goal attainment in Massive Open Online Courses
Individuals with strong self-regulated learning (SRL) skills, characterized by the ability to
plan, manage and control their learning process, can learn faster and outperform those with …
plan, manage and control their learning process, can learn faster and outperform those with …
Using metacognitive prompts to enhance self‐regulated learning and learning outcomes: A meta‐analysis of experimental studies in computer‐based learning …
L Guo - Journal of Computer Assisted Learning, 2022 - Wiley Online Library
Background It has been assumed that prompting students to plan, monitor and evaluate their
learning process could stimulate strategy use and thereby improve learning outcomes …
learning process could stimulate strategy use and thereby improve learning outcomes …