Unfolding Self-Regulated Learning Profiles of Students: A Longitudinal Study
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| Title: | Unfolding Self-Regulated Learning Profiles of Students: A Longitudinal Study |
|---|---|
| Language: | English |
| Authors: | Esnaashari, Shadi (ORCID |
| Source: | Journal of Computer Assisted Learning. Aug 2023 39(4):1116-1131. |
| Availability: | Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us |
| Peer Reviewed: | Y |
| Page Count: | 16 |
| Publication Date: | 2023 |
| Document Type: | Journal Articles Reports - Research |
| Education Level: | Higher Education Postsecondary Education |
| Descriptors: | Metacognition, Student Attitudes, Learning Strategies, Questionnaires, Blended Learning, Student Characteristics, Profiles, Learning Motivation, Undergraduate Students, Business Schools, Learning Analytics, Behavior Change, Feedback (Response) |
| Assessment and Survey Identifiers: | Motivated Strategies for Learning Questionnaire |
| DOI: | 10.1111/jcal.12830 |
| ISSN: | 0266-4909 1365-2729 |
| Abstract: | Background: It is vital to understand students' Self-Regulatory Learning (SRL) processes, especially in Blended Learning (BL), when students need to be more autonomous in their learning process. In studying SRL, most researchers have followed a variable-oriented approach. Moreover, little has been known about the unfolding process of students' SRL profiles. Objectives: We present the insights derived from a study that measured motivation and the learning strategies used by 198 students of a university entry-level, business school, BL course to develop an understanding of students' SRL processes. Methods: The Strategies for Learning Questionnaire (MSLQ) was used to survey 198 students three times during a semester to investigate SRL profiles and how they unfolded as the course progressed using a person-oriented approach. Through a clustering approach, we focus on MSLQ's motivation aspects as its importance has been emphasised by different SRL theories, and extant research into motivation in learning analytics (LA) is still lacking. Results and Conclusions: Through the longitudinal clustering approach, we identified minimally, average, and highly SRL profiles. We acknowledged that students might change their SRL profiles as the course progressed as a result of feedback they received. |
| Abstractor: | As Provided |
| Entry Date: | 2023 |
| Accession Number: | EJ1384384 |
| Database: | ERIC |
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