Scholarly Authority and Tawhid in the Era of Generative AI: A Systematic Review and Bibliometric Analysis of Islamic Education Research

Description

This dataset provides the underlying research data supporting the study: "Scholarly Authority and Tawhid in the Era of Generative AI: A Systematic Review and Bibliometric Analysis of Islamic Education Research" authored by Muhammad Natsir Tarani, Muhammad Wildan Shohib, and Mohammad Zakki Azani (Department of Islamic Education, Faculty of Islamic Studies, University Muhammadiyah of Surakarta). The study systematically analyzes and maps Scopus-indexed literature to understand how generative AI integration in Islamic religious education impacts traditional epistemological authority (sanad, ijazah, ijtihad) and the theological foundations of tawhid (God's oneness). The dataset is organized as follows: 1. 'Scopus Metadata and PRISMA Screening.xlsx': This comprehensive workbook contains five sheets detailing the entire systematic literature review selection process: - Sheet 1 ("Raw Export"): The original raw metadata file containing the 57 search results exported from Scopus. - Sheet 2 ("Screening Log"): The complete 57 records with assigned statuses (Include, Exclude, or Report Not Retrieved) after screening. - Sheet 3 ("Reports Not Retrieved"): The list of 13 records where full-text retrieval failed, reducing the screening pool to 44. - Sheet 4 ("Excluded Documents"): The 14 excluded documents, complete with their explicit exclusion rationales and categories (e.g., technical or domain non-relevance). - Sheet 5 ("Included Documents"): The final 30 eligible documents utilized for the thematic synthesis and quality appraisal. 2. 'Quality Appraisal Records MMAT and Supplementary.xlsx': Contains the complete quality appraisal sheets and scoring criteria checklist for all 30 included studies (using MMAT 2018 for the 17 empirical studies, and three supplementary appraisal frameworks for the 13 non-empirical papers). All data are shared openly to ensure maximum academic transparency and reproducibility.

Institutions

• Muhammadiyah University of Surakarta

  Central Java, Surakarta

Categories

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