Investigating the effects of different levels of students' regulation support on learning process and outcome
In search of the optimal level of support for self-regulated learning
Bibliographic Data
| ID | 21538441 |
|---|---|
| Authors | Slaviša Radović (0000-0001-8840-6053, FernUniversität in Hagen, corresponding author), Niels Seidel (0000-0003-1209-5038, FernUniversität in Hagen), Dennis Menze (0000-0003-0002-868X, FernUniversität in Hagen), Regina Kasakowskij (0000-0003-2368-9851, FernUniversität in Hagen) |
| Year | 2024 |
| Volume | 215 |
| Pages | 105041 |
| Publication date | 2024-07-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Computers & Education (JOURNAL) |
| Journal identifiers | ISSN: 0360-1315 • E-ISSN: 1873-782X |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.compedu.2024.105041 |
| OpenAlex | W4392968067 |
| Language | EN |
| Citations received | 11 |
| References cited | 25 |
Students in higher education who actively manage and control their own learning processes have better learning outcomes, more efficient learning progress, and other non-academic benefits than those who do not. However, students often have poor self-regulation practices, lack reflective thinking, and fail to monitor their learning against defined goals. Therefore, a variety of advanced learning technologies and features have been developed to support students with regulation. Nevertheless, the optimal level of regulation support and the most effective combination of these features remain unestablished in the existing research literature. Therefore, this study employs quantitative research to examine the effectiveness of two learning environments with different levels of self-regulation support (less and more) on students' learning academic outcomes, learning process, and satisfaction. Both variants combine the elements of learning dashboards, goal-setting activity, self-assessment task, reflection support, and personal recommendation, with differences in the level of supporting students' regulation. Our findings reveal that students who received higher levels of self-regulation support tended to be more active readers and visited online learning materials and course overviews more frequently. While they outperformed students in the control group, it's noteworthy that these students did not necessarily outperform their peers who received less support, particularly in the context of self-assessment tasks. This study has also highlighted the need for further research in this area (e.g., self-assessment accuracy), including the development of an instrument that can objectively measure and evaluate the level of self-regulated learning support
Knowledge management · Mathematics education · Medical education · Self-regulated learning · Computer Science · Engineering · Innovative Teaching and Learning Methods · Knowledge Management and Sharing · Medicine · Online and Blended Learning · Psychology · Artificial Intelligence
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| Citations per year | 5.5 |
|---|---|
| Citation span | 2024 - 2026 (3) |
| Highly cited | No |