Fostering self-regulated learning through adaptive learning technology: A differentiated perspective on the role of feedback

Background Adaptive learning technology (ALT) has the potential to foster self-regulated learning (SRL) by providing personalized feedback. However, limited research has examined how differentiated feedback types—directive, informative, and transformative—delivered through ALT and taken up by learners relate to SRL components across its phases. Aims This study investigates the effects of differentiated feedback on SRL during pre-actional, actional, and post-actional phases. It examines how engagement with adaptive feedback moderates relationships among (meta-)cognitive, motivational, emotional, and behavioral aspects across these phases. Sample and method The study was conducted with 194 students enrolled in a stochastics course who used an ALT to work on course content and access personalized feedback opportunities over eight weeks. Data were collected through self-report measures and trace data and analyzed using hierarchical linear modeling to assess within- and between-subject effects across SRL phases. Results Findings revealed that task value, self-efficacy, goal orientation, and positive emotions in the pre-actional phase positively influenced regulatory behavior in the actional phase, while negative emotions hindered it. Post-actional satisfaction was positively associated with motivation, metacognitive activity, and positive emotions in the subsequent pre-actional phase. However, adaptive feedback’s moderating effects were limited and, in some cases, negatively affected regulatory outcomes, suggesting that transformative feedback may contribute to cognitive overload. Conclusion This study highlights the importance of designing feedback through educational technology. While ALT feedback can promote SRL, its effectiveness is context-dependent, requiring tailoring to learners’ needs. Future research should examine how to optimize feedback design and address individual differences in SRL development.

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Publication Details

Journal
Learning and Instruction
Published
2026-05-27
DOI
https://doi.org/10.1016/j.learninstruc.2026.102394
Primary Topic
Innovative Teaching and Learning Methods
Type
article
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article

Fostering self-regulated learning through adaptive learning technology: A differentiated perspective on the role of feedback

Yvonne M. Fromm, Mathias Mejeh
Learning and Instruction
Innovative Teaching and Learning Methods
article

Fostering self-regulated learning through adaptive learning technology: A differentiated perspective on the role of feedback

Yvonne M. Fromm, Mathias Mejeh
article en

Abstract

Background Adaptive learning technology (ALT) has the potential to foster self-regulated learning (SRL) by providing personalized feedback. However, limited research has examined how differentiated feedback types—directive, informative, and transformative—delivered through ALT and taken up by learners relate to SRL components across its phases. Aims This study investigates the effects of differentiated feedback on SRL during pre-actional, actional, and post-actional phases. It examines how engagement with adaptive feedback moderates relationships among (meta-)cognitive, motivational, emotional, and behavioral aspects across these phases. Sample and method The study was conducted with 194 students enrolled in a stochastics course who used an ALT to work on course content and access personalized feedback opportunities over eight weeks. Data were collected through self-report measures and trace data and analyzed using hierarchical linear modeling to assess within- and between-subject effects across SRL phases. Results Findings revealed that task value, self-efficacy, goal orientation, and positive emotions in the pre-actional phase positively influenced regulatory behavior in the actional phase, while negative emotions hindered it. Post-actional satisfaction was positively associated with motivation, metacognitive activity, and positive emotions in the subsequent pre-actional phase. However, adaptive feedback’s moderating effects were limited and, in some cases, negatively affected regulatory outcomes, suggesting that transformative feedback may contribute to cognitive overload. Conclusion This study highlights the importance of designing feedback through educational technology. While ALT feedback can promote SRL, its effectiveness is context-dependent, requiring tailoring to learners’ needs. Future research should examine how to optimize feedback design and address individual differences in SRL development.

Learning and InstructionVol. 105
Technische Hochschule Mannheim (DE), University of Mannheim (DE), FHNW University of Applied Sciences and Arts Northwestern Switzerland (CH)
Openalex Percentile: Top 4%
Innovative Teaching and Learning Methods
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