Student engagement profiles in a mobile app: Links to self-regulated learning and performance

Publication date

2026

Authors

Wong, JacquelineORCID 0000-0002-5387-7696ISNI 0000000512658923
Khalil, Mohammad
Suschevskiy, Vsevolod
Baars, Martine
de Koning, Bjorn
Paas, Fred

Editors

Advisors

Supervisors

Document Type

Article
Open Access logo

License

cc_by

Abstract

Engaging in independent learning during self-study time is an essential part of learning in higher education. The ubiquity of mobile devices and their applications offer students a flexible, on-the-go learning experience. However, flexible learning environments require students to self-regulate their learning. The current study examined student engagement with a mobile study app intended for students to engage in retrieval practice with feedback as part of self-regulated learning (SRL). Three research questions were addressed: (1) What are the student engagement profiles that can be identified based on students’ activity with the study app? (2) Do the profiles differ in SRL and academic performance? and (3) What is the relationship between the identified student profiles, SRL, and academic performance? Through a learning analytics approach, results identified three distinct student profiles: active, disengaged, and utilitarian. Self-efficacy and time-management positively predicted exam grades, while self-evaluation showed an inverse effect. Active engagement positively influenced exam grades, underscoring individual differences in SRL.

Keywords

Latent profile analysis, Mobile applications, Retrieval practice, Self-regulated learning (SRL), Student engagement, Trace data, Education

Citation

Wong, J, Khalil, M, Suschevskiy, V, Baars, M, de Koning, B & Paas, F 2026, 'Student engagement profiles in a mobile app: Links to self-regulated learning and performance', Educational Technology Research and Development, vol. 74, no. 2, pp. 617-637. https://doi.org/10.1007/s11423-026-10586-2