Attempts to Harness AI Model in Online Differentiated Learning on Students' Understanding Levels

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.

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Publication Details

Journal
JTP - Jurnal Teknologi Pendidikan
Published
2025-08-31
DOI
https://doi.org/10.21009/jtp.v27i2.54400
Primary Topic
Education and Learning Interventions
Type
article
Field-Weighted Citation Impact
0.00

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article

Attempts to Harness AI Model in Online Differentiated Learning on Students' Understanding Levels

Deka Dyah Utami, Ence Surahman, Citra Kurniawan, Rumaizah Mohd Nordin
JTP - Jurnal Teknologi Pendidikan
Education and Learning Interventions
article

Attempts to Harness AI Model in Online Differentiated Learning on Students' Understanding Levels

Deka Dyah Utami, Ence Surahman, Citra Kurniawan, Rumaizah Mohd Nordin
article en

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.

JTP - Jurnal Teknologi PendidikanVol. 27(2)
State University of Malang (ID), Universiti Teknologi MARA (MY)
Universitas Negeri Malang
Openalex Percentile: Top 66%
Education and Learning Interventions
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Attempts to Harness AI Model in Online Differentiated Learning on Students' Understanding Levels — Deka Dyah Utami, Ence Surahman, et al. · JTP - Jurnal Teknologi Pendidikan (2025) | TGRS Research Map | TGRS