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Adam Mudinillah
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Al-Hijr: Journal of Adulearn World
Published by Sekolah Tinggi Agama Islam Al-Hikmah Pariangan Batusangkar
ISSN : 28293894     EISSN : 28294351     DOI : https://doi.org/10.55849/alhijr
Core Subject : Science, Education,
Computer Science & IT Education Languange, Linguistic, Communication & Media Other
Al-Hijr: Journal of Adulearn World is a multi-disciplinary, peer-refereed open-access international journal which has been established for the dissemination of state-of-the-art knowledge in the field of education, teaching, development, instruction, educational projects and innovations, learning methodologies, and new technologies in education and learning. The journal publishes state-of-art papers in fundamental theory, experiments, and simulation, as well as applications, with a systematic proposed method, sufficient review on previous works, expanded discussion, and concise conclusion. As our commitment to the advancement of science and technology, the Al-Hijr follows the open access policy that allows the published articles freely available online without any subscription. Submitted papers must be written in English for initial review stage by editors and further review process by minimum two international reviewers.
Arjuna Subject : Umum - Umum
Articles 1 Documents
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Search results for , issue "vol. 5 no. 4 (2026)" : 1 Documents clear
BUILDING ADAPTIVE CURRICULUM MODELS WITH AI: INNOVATIONS AND IMPLICATIONS FOR TEACHING AND LEARNING Dame Siregar; Zain Nizam; Syafiq Amir
Al-Hijr: Journal of Adulearn World Vol. 5 No. 4 (2026)
Publisher : Sekolah Tinggi Agama Islam Al-Hikmah Pariangan Batusangkar, West Sumatra, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55849/alhijr.v5i4.1300

Abstract

The integration of artificial intelligence (AI) into education is rapidly transforming traditional curriculum models, offering new opportunities for personalized learning. AI-powered adaptive curriculum models have the potential to provide real-time, personalized learning experiences that cater to individual student needs. This study explores the role of AI in developing adaptive curricula and its impact on teaching and learning processes. The research aims to evaluate the effectiveness of AI-driven adaptive curriculum models in improving student engagement, academic performance, and overall learning outcomes. A mixed-methods approach was used, combining quantitative assessments of student performance with qualitative feedback from both students and teachers. The findings indicate that students in AI-powered learning environments exhibited a 20% improvement in academic outcomes and a 25% increase in engagement compared to students using traditional curricula. Additionally, teachers reported positive feedback regarding the adaptability and effectiveness of AI tools in addressing diverse student needs. The study concludes that AI-enhanced adaptive curriculum models offer significant potential for improving educational practices by providing more personalized, dynamic, and engaging learning experiences. Future research should explore the long-term impacts of AI-driven curricula and address ethical concerns related to data privacy and algorithmic biases.

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