Combining dispositional and behavioural facets of SRL, and the role of students’ growth orientation

This study addresses three key challenges in self-regulated learning (SRL) research. First, it examines the relationship between dispositional SRL – students’ self-reported regulation skills – and behavioural SRL, inferred from computer logs of learning activities in technology-enhanced environments. The study investigates the complementarity of these facets and their strengths and limitations in modelling student learning of 5,724 business students. Second, it explores the link between learning regulation and approaches to learning. While prior research suggests deep learners engage in self-regulation and surface learners rely on external regulation, our findings indicate that high-performing students flexibly switch between both modes based on context. Third, the study examines the role of growth orientation and its key components – mindsets, effort beliefs, future goals, and autonomous motivation – in dispositional and behavioural SRL and course performance. Our research utilises dispositional learning analytics, based on surveys and e-tutorial activity data, to enhance student learning by providing targeted learning feedback.

Authors

Institutions

Publication Details

Journal
Educational Psychology
Published
2025-11-27
DOI
https://doi.org/10.1080/01443410.2025.2592750
Primary Topic
Innovative Teaching and Learning Methods
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Combining dispositional and behavioural facets of SRL, and the role of students’ growth orientation

Bart Rienties, Dirk Tempelaar, Bas Giesbers, Alexandra Mihai et al.
Educational Psychology
Innovative Teaching and Learning Methods
article

Combining dispositional and behavioural facets of SRL, and the role of students’ growth orientation

Bart Rienties, Dirk Tempelaar, Bas Giesbers, Alexandra Mihai, Anikó Bátori
article en

Abstract

This study addresses three key challenges in self-regulated learning (SRL) research. First, it examines the relationship between dispositional SRL – students’ self-reported regulation skills – and behavioural SRL, inferred from computer logs of learning activities in technology-enhanced environments. The study investigates the complementarity of these facets and their strengths and limitations in modelling student learning of 5,724 business students. Second, it explores the link between learning regulation and approaches to learning. While prior research suggests deep learners engage in self-regulation and surface learners rely on external regulation, our findings indicate that high-performing students flexibly switch between both modes based on context. Third, the study examines the role of growth orientation and its key components – mindsets, effort beliefs, future goals, and autonomous motivation – in dispositional and behavioural SRL and course performance. Our research utilises dispositional learning analytics, based on surveys and e-tutorial activity data, to enhance student learning by providing targeted learning feedback.

Educational Psychology
The Open University (GB), Quantitative BioSciences (US), Department of Education (ES)
Openalex Percentile: Top 59%
Innovative Teaching and Learning Methods
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.