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All Journal Jurnal Penelitian dan Pengembangan Pendidikan Jurnal Pijar MIPA JPAP (Jurnal Praktisi Administrasi Pendidikan) International Journal of Contextual Science Education
A Wahab Jufri
Unknown Affiliation
Humanities Biochemistry, Genetics & Molecular Biology Chemistry Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Mathematics Physics Social Sciences Other

Published : 11 Documents Claim Missing Document
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Kecerdasan Buatan untuk Pengajaran dan Pembelajaran Fisika Komputasi: Tinjauan Mutakhir tentang Tren, Tantangan, dan Arah Masa Depan Muhammad Taufik; A Wahab Jufri; Sri Adelia Sari; Ahmad Harjono
International Journal of Contextual Science Education Vol. 3 No. 4 (2025): October - December 2025
Publisher : Postgraduate Program, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ijcse.v3i4.1434

Abstract

Artificial intelligence (AI) has recently been recognized as playing an increasingly strategic role in computational physics education, notably with respect to the current strong focus on developing students’ ability to comprehend and apply computational modeling, data simulation, and problem solving within modern physics curriculums. This paper presents a state- of-the-art narrative review on the integration of AI in computational physics and related educational contexts, considering research from 2019 to date. The review discusses prominent AI technologies, pedagogical integration strategies and their documented effects on computational thinking, numerical modeling and student engagement. The synthesis also suggests that AI enhanced learning environments can support personalized feedback, adaptive assessment and flexible learning pathways in order to promote students‟ engagement and computational reasoning of physics learning. Meanwhile, the literature also shows ongoing challenges: ethical and equity issues; algorithmic bias; lack of instructor preparation for OAI pedagogies; and shortage of longitudinal empirical evidence in computational physics education. Through summarizing prevailing research trends and framing a set of important constraints, this review is intended to serve as a conceptual blueprint for an expanded research agenda towards the systematic, responsible, and pedagogically informed inclusion of AI in computational physics education
Co-Authors AA Sukarso Agus Ramdani Ahmad Harjono Ahmad Junaidi Diana Wahyuni Sulasti Dwi Supriatin Ferniawan Ferniawan Ferniawan Imas Hasdianti Joned Bangkit Wahyu Laksono Joni Rokhmat Lalu Abi Said Ali Lalu Zulkifli Maesyarah Maesyarah Moh.Noor Supandri Muhammad Taufik Ni Luh Putu Pebri Artayani . Ni Nengah Sri Swathi Ni Nengah Sri Swathi Nengah Ni Putu Novie Yanti. A. Nova Fitriani Wahdah Rahmah Laila Saefulloh Silvi Husnaini Sri Adelia Sari