AI-Powered Education: Exploring the Potential of Personalised Learning for Students' Needs in Indonesia Education
Article Status
Published
Author/contributor
- Faresta, Rangga Alif (Author)
Title
AI-Powered Education: Exploring the Potential of Personalised Learning for Students' Needs in Indonesia Education
Abstract
Artificial intelligence (AI) stands out as a relatively new yet rapidly expanding technological tool that is transforming the field of education. This paper examines the potential of Artificial Intelligence to assist students and teachers in personalised learning. The research methodology employed for this study is a literature review, providing an overview of the current knowledge on practical AI applications for personalised learning and insights into methodological developments in this research field. Based on the literature, the results of this research demonstrate that personalised learning effectively accommodates students' learning preferences and enhances academic performance. Therefore, it could significantly benefit students by accommodating their learning pace and style. In the Indonesian education system context, the integration of AI for personalised learning is already included in the Indonesia Artificial Intelligence National Plan framework. To support this plan, the authors employed a Personalized Learning Plan (PLP) to integrate AI into educational settings practically. However, a challenge in integrating AI into education for personalised learning is that course or class designers often pay insufficient attention to creating content that develops practical skills. This neglect of pedagogical and technical aspects has led students and teachers to perceive these systems as unresponsive to their learning preferences, fostering a sense of pessimism.
Publication
Path of Science
Volume
10
Issue
5
Pages
3012-3022
Date
2024-5-31
Language
en
ISSN
2413-9009
Short Title
AI-Powered Education
Accessed
17/06/2024, 08:21
Library Catalogue
Rights
Copyright (c) 2024 Rangga Alif Faresta
Extra
Number: 5
Citation Key: faresta2024
<标题>: 人工智能驱动的教育:探索为印度尼西亚学生需求量身定制学习的潜力
<AI Smry>: Based on the literature, the results of this research demonstrate that personalised learning effectively accommodates students' learning preferences and enhances academic performance.
Citation
Faresta, R. A. (2024). AI-Powered Education: Exploring the Potential of Personalised Learning for Students’ Needs in Indonesia Education. Path of Science, 10(5), 3012–3022. https://doi.org/10.22178/pos.104-19
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