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Exploring the Artificial Intelligence Era in Influencing Self-Paced Learning: Systematic and Bibliometric Review of Literature

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Vydáno v:Educational Process: International Journal vol. 18 (2025), p. e2025429
Hlavní autor: Fernando, Erick
Další autoři: Rosilah Hassan, Murad, Dina Fitria, Zeyad Ghaleb Al-Mekhlafi
Vydáno:
UNIVERSITEPARK Limited
Témata:
Literature Reviews
Meta Analysis
Bibliometrics
Artificial Intelligence
Pacing
Individualized Instruction
Intelligent Tutoring Systems
Technology Uses in Education
Computer Assisted Instruction
Adaptive Testing
Role
Influence of Technology
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Abstrakt:Background/purpose: Education continues to evolve along with technological advances, and one of the biggest changes is the application of artificial intelligence (AI) in the learning process. The main problem in this study is the lack of in-depth understanding of the factors that influence the effectiveness of using AI in self-paced learning models. The purpose of this study is to identify key factors that influence the success of AI-based self-paced learning and contribute to the development of more adaptive technology-based education policies. Materials/methods: This study uses a Systematic Literature Review (SLR) approach with the PRISMA method. SLR to collect and analyze related literature from various academic databases. Results: The results of the study indicate that factors such as technology and infrastructure that support flexible learning, AI's ability to detect and overcome learning challenges, and personalization of learning that suits students' needs, play a significant role in increasing learning effectiveness. Conclusion: AI in self-paced learning the use of chatbots, language support, and assessment automation were also found to contribute significantly to creating a more focused and efficient learning experience.
ISSN:2147-0901
Zdroj:ERIC