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All Journal International Journal of Information Techonology and Education (IJITE)
Wagei, Suci K.
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Computer Science & IT Other

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Innovation of Adaptive Learning Based on Artificial Intelligence Rompas, Parabelem Tinno Dolf; Lalompoh, Hartentus M.; Wagei, Suci K.; Gunde, Alfrits P.; Batmetan, Johan Reimon
International Journal of Information Technology and Education Vol. 5 No. 1 (2025): December 2025
Publisher : JR Education

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Abstract

The development of digital technology encourages transformation across various sectors, including education. Adaptive learning based on Artificial Intelligence (AI) is an innovation that enables the teaching and learning process to take place in a personalized, dynamic manner, and aligned with students’ characteristics. This article discusses the implementation of AI-based adaptive learning as a strategy to improve learning effectiveness through learning needs analysis, curriculum differentiation, and the use of data as the basis for learning recommendations. The research method employed is a literature study by reviewing recent journals and scientific publications. The findings show that AI-based adaptive learning can increase learning motivation, independence, and learning achievement through the delivery of materials aligned with students’ competency levels, learning styles, and learning pace. In conclusion, this innovation becomes a potential solution for improving the quality of education in the digital era, provided that technological infrastructure, teacher readiness, and students’ digital literacy are adequately supported.
The Implementation of the Reflective Inquiry Learning Model to Improve Students' Metacognitive Skills in Informatics Subject at State Senior High School 1 Amurang Wagei, Suci K.; Manggopa, Hiskia Kamang; Angmalisang, Harrychoon; Rompas, Parabelem Tinno Dolf
International Journal of Information Technology and Education Vol. 5 No. 2 (2026): March 2026
Publisher : JR Education

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Metacognitive skills are an essential aspect of Informatics learning, as they are closely related to students’ ability to plan, monitor, and evaluate their own thinking processes. However, learning outcomes indicate that students’ metacognitive skills remain relatively low. This study aims to improve students’ metacognitive skills through the implementation of the Reflective Inquiry learning model. This study employed Classroom Action Research (CAR) conducted in two cycles, each consisting of planning, implementation, observation, and reflection stages. The research subjects were 33 eleventh-grade students at SMA Negeri 1 Amurang. Research instruments included a metacognitive questionnaire, observation sheets of teacher and student activities, and learning achievement tests. The results showed an improvement in students’ metacognitive skills from Cycle I to Cycle II, as indicated by an increase in the average metacognitive score and the percentage of students categorized as having high metacognitive skills. Therefore, the Reflective Inquiry learning model is effective in improving students’ metacognitive skills in Informatics learning.
Co-Authors Gunde, Alfrits P. Harrychoon Angmalisang Hiskia Kamang Manggopa Johan Reimon Batmetan Lalompoh, Hartentus M. parabelem tinno dolf rompas