ENHANCING PERSONALIZED LEARNING THROUGH ARTIFICIAL INTELLIGENCE (AI) IN EDUCATION 5.0: A FRAMEWORK FOR ADAPTIVE LEARNING ENVIRONMENTS

The digital transformation in education spurred by the Fourth Industrial Revolution has advanced teaching and learning methods through automation and digital technologies. However, Education 5.0 emphasizes the balance between technology and humanistic aspects, aiming to enhance personalized learning through human-machine collaboration. This article examines the application of artificial intelligence (AI) in creating a framework for adaptive learning environments that enable personalized learning. This study utilizes literature analysis to design and evaluate a personalized AI-based framework. We integrate AI techniques such as machine learning and predictive analytics with educational big data to develop models capable of tailoring content, methods, and learning pace according to individual student needs. Findings show that the use of AI enables the development of dynamic and real-time student learning profiles that can adjust instructional materials and teaching methods based on each student's learning style and preferences. The proposed framework also enhances student engagement and learning outcomes through personalized feedback and automated assessments. Although this framework offers significant potential to improve the learning process, challenges such as data privacy, algorithmic bias, and the need for adequate technological infrastructure must be addressed. This discussion includes mitigation strategies for these challenges, including ethical approaches to data use and transparency in AI development. The implementation of AI in Education 5.0 opens opportunities for more personalized, adaptive, and effective learning that can meet the unique needs of each student. By leveraging AI to personalize the learning experience, the education system can evolve to better support individual potential, enhance academic outcomes, and strengthen the 21st-century skills needed for the future.

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Publication Details

Journal
Proceeding of International Conference on Education and Sharia
Published
2024-08-31
DOI
https://doi.org/10.62097/ices.v124.104
Citations
1
Primary Topic
Online Learning and Analytics
Type
article
Field-Weighted Citation Impact
0.41
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article

ENHANCING PERSONALIZED LEARNING THROUGH ARTIFICIAL INTELLIGENCE (AI) IN EDUCATION 5.0: A FRAMEWORK FOR ADAPTIVE LEARNING ENVIRONMENTS

Saipul Annur, Aldyandra Aldyandra, Indra Ari Irvan
1 citations
Proceeding of International Conference on Education and Sharia
Online Learning and Analytics
0.41
article

ENHANCING PERSONALIZED LEARNING THROUGH ARTIFICIAL INTELLIGENCE (AI) IN EDUCATION 5.0: A FRAMEWORK FOR ADAPTIVE LEARNING ENVIRONMENTS

Saipul Annur, Aldyandra Aldyandra, Indra Ari Irvan
article en
1 citations

Abstract

The digital transformation in education spurred by the Fourth Industrial Revolution has advanced teaching and learning methods through automation and digital technologies. However, Education 5.0 emphasizes the balance between technology and humanistic aspects, aiming to enhance personalized learning through human-machine collaboration. This article examines the application of artificial intelligence (AI) in creating a framework for adaptive learning environments that enable personalized learning. This study utilizes literature analysis to design and evaluate a personalized AI-based framework. We integrate AI techniques such as machine learning and predictive analytics with educational big data to develop models capable of tailoring content, methods, and learning pace according to individual student needs. Findings show that the use of AI enables the development of dynamic and real-time student learning profiles that can adjust instructional materials and teaching methods based on each student's learning style and preferences. The proposed framework also enhances student engagement and learning outcomes through personalized feedback and automated assessments. Although this framework offers significant potential to improve the learning process, challenges such as data privacy, algorithmic bias, and the need for adequate technological infrastructure must be addressed. This discussion includes mitigation strategies for these challenges, including ethical approaches to data use and transparency in AI development. The implementation of AI in Education 5.0 opens opportunities for more personalized, adaptive, and effective learning that can meet the unique needs of each student. By leveraging AI to personalize the learning experience, the education system can evolve to better support individual potential, enhance academic outcomes, and strengthen the 21st-century skills needed for the future.

Proceeding of International Conference on Education and ShariaVol. 1
Universitas Islam Negeri Raden Intan Lampung (ID), Universitas Islam Negeri Raden Fatah Palembang (ID)
Openalex Percentile: Top 23%
Online Learning and Analytics
0.41
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