Self-regulated learning in student-led generative AI-based learning activities of junior high school students
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ID: 285907
2025
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Abstract
Generative Artificial Intelligence (GenAI) has prompted significant paradigm shifts in teaching and learning. While it offers various advantages, it also poses challenges depending on how it is used. This study examined students' perceptions of GenAI and analyzed their activities and self-regulated learning skills with these tools. A total of 179 junior high school students in a private institution in the Philippines participated in the study through an online survey. In addition, nine teachers from different subjects were interviewed to corroborate the data. The results showed that students have a positive perception of GenAI and a clear understanding of what it is, its uses, and limitations. Findings indicated students’ willingness to use GenAI, yet they have concerns about compromising learning outcomes and the likelihood of overreliance. Furthermore, students reported using it for different academic purposes, but mostly for practicing their skills. The data analysis also revealed students’ infrequent use of GenAI tools and generally neutral stance on their SRL skills. Despite these, a strong positive correlation was found between student-led GenAI activities and their self-regulated learning skills (ρ =.771, p < .001), suggesting that the more they engage in activities using GenAI tools, the more it supports their SRL skills. The findings highlight GenAI’s potential to support students’ SRL skills, but it is reliant on its effective integration in education and the strong digital literacy of the students. Therefore, there is a call for institutions to provide learners with proper guidance on GenAI ethical use and to refine policies on using them.
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| Authors | Zantua, Joelle Ann V. |
| Journal | Malay Journal |
| Year | 2025 |
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| Keywords | Keywords not found |
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