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ORIGINAL RESEARCH article

Front. Psychol.

Sec. Educational Psychology

Volume 16 - 2025 | doi: 10.3389/fpsyg.2025.1527438

A latent profile analysis for teacher education students' learning: An overview of competencies in self-regulated learning

Provisionally accepted
Janina Schel Janina Schel *Barbara Drechsel Barbara Drechsel
  • University of Bamberg, Bamberg, Germany

The final, formatted version of the article will be published soon.

    Especially for teacher education students, competencies in self-regulated learning are of great importance: for their own learning during their studies, as well as for the diagnosis and support of their future students. This study aims to investigate the competencies and developmental potentials (currently low-developed areas that hold the potential for improvement) of these students' self-regulated learning processes. Data from N = 240 teacher education students regarding the preaction, action, and postaction parameters of the selfregulated learning process were analyzed. Through latent profile analysis (LPA), five selfregulated learning profiles were extracted and labeled as follows: process-oriented competent, preaction-volitional competent, action-cognitive competent, repetitive-low reflective, and avoiding-unreflective. The profiles were validated by learning success and goal orientation.Higher-competency profiles demonstrated better learning success and more favorable goal orientations than lower-competency profiles. The person-centered approach of this study can help develop differentiated interventions based on learning profiles to promote self-regulated learning competencies in teacher education students, ensuring that interventions can be designed as efficiently as possible. Further potentials and limitations of the approach are discussed.

    Keywords: self-regulated learning (SRL), Teacher Education, Latent profile analysis (LPA), Learning success, goal orientation

    Received: 13 Nov 2024; Accepted: 07 Apr 2025.

    Copyright: © 2025 Schel and Drechsel. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Janina Schel, University of Bamberg, Bamberg, Germany

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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