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All Journal Potensia NUSANTARA : Jurnal Ilmu Pengetahuan Sosial JURNAL PENDIDIKAN TAMBUSAI AL-TANZIM : JURNAL MANAJEMEN PENDIDIKAN ISLAM Idarah Tarbawiyah: Journal of Management in Islamic Education Jurnal Manajemen, Organisasi, Dan Bisnis Journal of Educational Management and Strategy INTERNATIONAL JOURNAL OF LANGUAGE PEDAGOGY Socius: Social Sciences Research Journal
Salman, Nola Fibriyani Bte
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Religion Arts Humanities Economics, Econometrics & Finance Education Engineering Languange, Linguistic, Communication & Media Social Sciences Other

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Validity and Reliability of the Artificial Intelligence Literacy Instrument for Prospective Islamic Education Teachers: A Rasch Analysis Sari, Herlini Puspika; arisanti, devi; ilhami, Aldeva; Salman, Nola Fibriyani Bte; Faizah, Ulfa
POTENSIA: Jurnal Kependidikan Islam Vol 11, No 2 (2025): Desember 2025
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/potensia.v11i2.38308

Abstract

This study aims to validate an Artificial Intelligence (AI) literacy instrument for Islamic Education (PAI) students using Rasch analysis to evaluate its reliability, validity, item-fit statistics, and unidimensionality. The instrument was developed to measure the extent of AI literacy among prospective Islamic Education teachers. A cross-sectional survey design was employed, involving 64 students from a university in Riau, Indonesia. Participants completed an AI literacy instrument consisting of 85 items. The sampling technique used was quota sampling. Data were analyzed using the Rasch model with the aid of Winsteps software version 3.73. The results of the Rasch analysis indicated that the instrument demonstrated good reliability (α = 0.85), excellent item quality (0.94), and consistent respondent reliability (0.84). In terms of validity, the three dimensions of AI literacy were confirmed to possess unidimensional properties. The practical implication of this study lies in providing higher education institutions with a validated AI literacy instrument that can be used to assess the knowledge of future Islamic Education teachers. By employing Rasch analysis, this study contributes to enhancing the psychometric robustness of measurement tools, particularly in the context of assessing artificial intelligence literacy in Indonesia.
Co-Authors Afrinal, Hendri Alpino Susanto, Alpino Andriani, Yanti Arif Rahman Arvita, Rizky Firda Azis, Fahnur Devi Arisanti Erlina Wiyanarti Ersis Warmansyah Abbas Fadhil, Muflihul Faizah, Ulfa Husti, Ilyas Ilhami, Aldeva Lailatul Munawwaroh Marhamah Marhamah Miftahurrazak, Muhammad Mina Holilah, Mina Muhamad Subhi Apriantoro Mustapa, Zainal Mutiani Mutiani N, Nurnasrina Nurnasrina Nurnasrina Nurul Huda Nurul Latifatul Inayati Rahmawati, Alivia Ramadanti, Tiara Sari, Herlini Puspika Sarkiman, Akhmudi Sri Langgeng Ratnasari Syamsiar, Syamsiar Syamsuddin, Riswani Uteh, Nor Fazlin Wibowo, Agung Edy Yulianto Yulianto Zamsiswaya Zarkasih Zarkasih