Novianti Sisilia
STKIP Mutiara Banten

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

AI INTEGRATION IN LEARNING SYSTEMS: LITERATURE REVIEW ANALYSIS ON TEACHING OPTIMISATION THROUGH VIRTUAL TUTORS, DATA ANALYSIS, AND AUTOMATED EDUCATIONAL MATERIAL CREATION Rizki Fauzi; Novianti Sisilia
Indonesian Journal of Education (INJOE) Vol. 5 No. 1 (2025): Indonesian Journal of Education (INJOE)
Publisher : CV. ADIBA AISHA AMIRA

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

Abstract

The development of artificial intelligence (AI) has brought a new paradigm in the world of education by introducing learning systems that are more adaptive, efficient, and learner-centred. This study aims to analyse the role of AI in optimising the learning process through the application of virtual tutors, learning analytics, and the automation of educational material creation. The research method used is library research by reviewing various existing scientific sources. The results show that the integration of AI in education can improve learning personalisation, strengthen data-based decision making, and increase efficiency in academic content development. AI-based virtual tutors enable real-time feedback and individual guidance, while learning analytics help teachers understand students' needs more accurately. On the other hand, the automation of teaching material creation using generative technology increases teachers' time effectiveness and expands access to relevant and contextual learning resources. However, the implementation of AI requires serious attention to ethical issues, data validity, and potential algorithmic bias so that this technology can truly be beneficial in a fair and sustainable manner. This study emphasises that collaboration between human intelligence and artificial intelligence is key to building an innovative, inclusive, and meaningful future education ecosystem.
OPTIMISING ONLINE AND HYBRID LEARNING TO IMPROVE THE QUALITY OF EDUCATION AND STUDENT LEARNING EXPERIENCES: A LITERATURE REVIEW ANALYSIS IN THE CONTEXT OF THE MODERN DIGITAL EDUCATION ENVIRONMENT Moh. Imron Rosidi; Novianti Sisilia
Indonesian Journal of Education (INJOE) Vol. 5 No. 1 (2025): Indonesian Journal of Education (INJOE)
Publisher : CV. ADIBA AISHA AMIRA

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

Abstract

This article presents an analysis of the optimisation of online and hybrid learning to improve the quality of education and student learning experiences in the context of a modern digital education environment. The research uses a literature review method. The results show that the hybrid learning model has great potential in combining the advantages of face-to-face and online learning, thereby creating a more humanistic, flexible, and student-centred learning experience. The integration of appropriate pedagogical approaches and the planned use of digital technology can support the achievement of better education quality and build a sustainable learning ecosystem. This study recommends strengthening the capacity of educators, developing policies that support digital transformation, and conducting further testing in diverse empirical contexts to refine the model for optimising online and hybrid learning.