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All Journal MERDEKA: Jurnal Ilmiah Multidisiplin Prosiding Seminar Nasional Indonesia
Haidar Triari Respati
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Pemanfaatan AI dalam Pendidikan: Meningkatkan Pembelajaran melalui Sistem Pembelajaran Adaptif Haidar Triari Respati
MERDEKA : Jurnal Ilmiah Multidisiplin Vol. 2 No. 2 (2024): Desember
Publisher : PT PUBLIKASI INSPIRASI INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62017/merdeka.v2i2.2903

Abstract

Education today faces significant challenges in adapting learning methods to meet the diverse needs of students. Artificial Intelligence (AI) technology emerges as an innovative solution, particularly through adaptive learning systems, which can offer personalized learning experiences. These systems allow for real-time adjustments to learning materials based on students' strengths, weaknesses, and learning pace, enhancing their engagement and motivation. This research aims to evaluate the impact of implementing AI-based adaptive learning systems on students' learning outcomes and their motivation to learn. Additionally, this study explores the challenges faced in its implementation, such as the technological access gap and the readiness of educators to use AI. By employing the Systematic Literature Review (SLR) method, this research analyzes various recent studies on the utilization of AI in education, particularly in adaptive learning systems. The results show that the personalization offered by these systems significantly contributes to the improvement of students' learning outcomes and motivation. However, certain challenges related to data privacy and the technological access gap still require further attention to ensure the benefits of this technology are equitably accessible.
LITERATURE REVIEW: PENGARUH PENERAPAN SISTEM PEMBELAJARAN ADAPTIF BERBASIS AI TERHADAP HASIL BELAJAR DAN MOTIVASI BELAJAR Haidar Triari Respati
Prosiding Seminar Nasional Indonesia Vol. 3 No. 3 (2026): Prosiding Seminar Nasional Indonesia
Publisher : CV. Adiba Aisha Amira

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Adapting teaching strategies to students' varied requirements is one of the biggest difficulties facing education today.  Through the use of adaptive learning systems, which enable learning materials to be customized in real-time to students' strengths, shortcomings, and learning pace, artificial intelligence (AI) technology offers a creative answer.  By offering a more individualized learning experience, this approach may enhance student motivation and learning outcomes.  The purpose of this study is to examine how learning results and learning motivation are affected by the use of an AI-based adaptive learning system. This study looks at several current studies on the application of AI in education, especially in the context of adaptive learning, using the Literature Review (LR) method.  The findings demonstrate that using an AI-based adaptive learning system significantly improves student motivation and learning outcomes.  However, in order for the advantages of this technology to be felt equally across all educational levels, concerns pertaining to the disparity in access to technology and the preparedness of educators to use AI still need to be resolved.
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