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Rumaizah Mohd Nordin
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Attempts to Harness AI Model in Online Differentiated Learning on Students' Understanding Levels Citra Kurniawan; Ence Surahman; Deka Dyah Utami; Rumaizah Mohd Nordin
JTP - Jurnal Teknologi Pendidikan Vol. 27 No. 2 (2025): Jurnal Teknologi Pendidikan
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat, Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/jtp.v27i2.54400

Abstract

This study aims to examine the relationship between Online Differentiated Learning (ODL), Self-Regulated Learning (SRL), and an Artificial Intelligence Model (AIM) and the Level of Understanding (LU). This study employs an quasi experimental research method, utilizing path analysis as the primary data analysis technique. This study involved 125 respondents who volunteered to participate. The selection of respondents was based on their experience using generative AI applications such as ChatGPT. ChatGPT was used in the study because it is a popular generative AI application. This study found that Online Differentiated Learning (ODL) has an influence on the level of understanding of students. Furthermore, Self-Regulated Learning (SRL) does not affect learning outcomes. Different results are obtained if Artificial Intelligence Model (AIM) is involved to achieve learning outcomes in the form of students' level of understanding. The findings in the study are interesting because the role of AIM influences if integrated in the application of ODL and SRL to achieve learning outcomes. This research is expected to have an impact on the study of artificial intelligence, especially in its implementation in learning. Further research is expected to involve a larger number of respondents with diverse characteristics.
Co-Authors Citra Kurniawan Deka Dyah Utami Surahman, Ence