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All Journal International Journal of Education and Digital Learning (IJEDL) AL GHAZALI: Jurnal Pendidikan dan Pemikiran Islam AL GHAZALI: Jurnal Pendidikan dan Pemikiran Islam
Ullah, Rahmat
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Religion Education Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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The Correlation of Academic Performance and Socio-Economic Background of University Students in Bangladesh Ullah, Rahmat; Chandra, Ajoy; Mahmud, Md. Sultan
International Journal of Education and Digital Learning (IJEDL) Vol. 3 No. 6 (2025): International Journal of Education and Digital Learning (IJEDL)
Publisher : Lafadz Jaya Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47353/ijedl.v3i6.304

Abstract

This study focuses on the relationship between students' socioeconomic backgrounds and their academic success at the university level. The goals were to identify factors influencing students' academic success and analyze the connection between socio-economic status and academic achievement. A sample of 132 participants from the University of Rajshahi was chosen through simple random sampling. Structured questionnaires were distributed to the respondents. CGPAs are used to measure academic performance. In this study, factors such as parental income, education level, occupation, students' access to resources, and learning environments are considered to evaluate overall academic success. The results reveal a significant correlation between socioeconomic status (SES) and academic achievement, with students from higher SES backgrounds often performing better due to greater access to educational resources, mentorship, and stable living conditions.
Developing Maqasid al-Shariah-Based Artificial Intelligence Models for Transformative Islamic Education in the Era of Technological Disruption and Knowledge Society Eissawy Abu El Yazid, Muhammad; Kashada, Abubaker; Ahmad Bani Amer, Mohammad; Ullah, Rahmat; Faizal Syahrul Azmi, Ahmad
AL GHAZALI: Jurnal Pendidikan dan Pemikiran Islam Vol. 6 No. 1: Januari-Februari 2026
Publisher : Sekolah Tinggi Agama Islam Al-Jami Banjarmasin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69900/ag.v6i1.604

Abstract

This study aims to develop a novel conceptual framework for Artificial Intelligence based on Maqasid al-Shariah in the context of transforming Islamic education amid technological disruption and the knowledge society. Employing a qualitative approach through library research, the study critically analyzes classical and contemporary literature on Islamic education, artificial intelligence, and Maqasid al-Shariah theory. The novelty of this research lies in the integrative construction of a Maqasid-based AI model that systematically embeds the five essential protections religion, intellect, life, lineage, and wealth into the architecture of educational technology design, moving beyond conventional AI applications that are predominantly technical and value-neutral. The findings demonstrate that AI integration in Islamic education must be normatively guided to ensure alignment with ethical, spiritual, and epistemological principles of Islam. Furthermore, this study introduces a maqasid-driven evaluative and operational framework that not only enhances learning efficiency but also actively fosters spiritual formation, moral integrity, and intellectual development. Unlike prior studies that treat ethics as an external constraint, this research positions Maqasid al-Shariah as an intrinsic design principle within AI systems. The study also identifies critical risks of unregulated AI adoption, including doctrinal distortion, cognitive dependency, privacy violations, moral decline, and excessive commercialization of education. Therefore, it proposes a collaborative and interdisciplinary AI design model involving technologists, educators, and Islamic scholars to ensure value-driven innovation.
Developing Maqasid al-Shariah-Based Artificial Intelligence Models for Transformative Islamic Education in the Era of Technological Disruption and Knowledge Society Eissawy Abu El Yazid, Muhammad; Kashada, Abubaker; Ahmad Bani Amer, Mohammad; Ullah, Rahmat; Faizal Syahrul Azmi, Ahmad
AL GHAZALI: Jurnal Pendidikan dan Pemikiran Islam Vol. 6 No. 1: Januari-Februari 2026
Publisher : Sekolah Tinggi Agama Islam Al-Jami Banjarmasin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69900/ag.v6i1.604

Abstract

This study aims to develop a novel conceptual framework for Artificial Intelligence based on Maqasid al-Shariah in the context of transforming Islamic education amid technological disruption and the knowledge society. Employing a qualitative approach through library research, the study critically analyzes classical and contemporary literature on Islamic education, artificial intelligence, and Maqasid al-Shariah theory. The novelty of this research lies in the integrative construction of a Maqasid-based AI model that systematically embeds the five essential protections religion, intellect, life, lineage, and wealth into the architecture of educational technology design, moving beyond conventional AI applications that are predominantly technical and value-neutral. The findings demonstrate that AI integration in Islamic education must be normatively guided to ensure alignment with ethical, spiritual, and epistemological principles of Islam. Furthermore, this study introduces a maqasid-driven evaluative and operational framework that not only enhances learning efficiency but also actively fosters spiritual formation, moral integrity, and intellectual development. Unlike prior studies that treat ethics as an external constraint, this research positions Maqasid al-Shariah as an intrinsic design principle within AI systems. The study also identifies critical risks of unregulated AI adoption, including doctrinal distortion, cognitive dependency, privacy violations, moral decline, and excessive commercialization of education. Therefore, it proposes a collaborative and interdisciplinary AI design model involving technologists, educators, and Islamic scholars to ensure value-driven innovation.
Co-Authors Ahmad Bani Amer, Mohammad Chandra, Ajoy Eissawy Abu El Yazid, Muhammad Faizal Syahrul Azmi, Ahmad Kashada, Abubaker Mahmud, Md. Sultan