Abubaker Kashada
Surman College of Science and Technology, Libya

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Information Overload in Digital Learning Environments and Academic Achievement among Libyan University Students: A Structural Equation Modeling Approach Abubaker Kashada; Khalid J Bisher; Abubaker Sasi; Riyadh M. Suwayd
International Journal of Education and Digital Learning (IJEDL) Vol. 4 No. 1 (2025)
Publisher : Lafadz Jaya Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47353/ijedl.v4i1.356

Abstract

This study examines the complex role of information overload in shaping academic achievement within digital learning environments, with a specific focus on Libyan higher education. Drawing on data from 205 undergraduate students and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM), the study investigates both the direct and indirect effects of information overload through cognitive load and self-regulated learning (SRL). The findings reveal a dual and nuanced effect. Information overload exerts a significant negative direct impact on academic achievement by increasing cognitive load and disrupting attentional processes. At the same time, it demonstrates a positive indirect effect by stimulating self-regulated learning, which partially offsets its adverse cognitive consequences. Cognitive load emerges as a key mediator that amplifies the negative pathway, while self-regulated learning functions as an adaptive mechanism that enhances academic performance. These results contribute to the literature by integrating Cognitive Load Theory and self-regulated learning within a unified empirical framework, highlighting the conditional nature of information overload in educational settings. Rather than being purely detrimental, information overload operates as a double-edged phenomenon, with its impact depending on students’ capacity to regulate their learning processes. Practically, the study underscores the need for higher education institutions—particularly in resource-constrained contexts—to move beyond information provision toward developing students’ digital literacy and self-regulation skills. Such interventions are essential for mitigating cognitive overload and fostering sustainable academic achievement in increasingly complex digital environments.
Artificial Intelligence and Islamic Religious Education: Integrating Qur’anic Ethical Principles to Foster Responsible Digital Literacy among Muslim Students Ahmad Nabriz; Helene Knudstad; Rahmat Ullah; Ajoy Chandra; Abubaker Kashada
Integrated Education Journal Vol. 3 No. 1: Integrated Education Journal (Jan-Juni)2026
Publisher : PT Barkah Ilmi Fiddunya

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Abstract

The rapid development of artificial intelligence (AI) has significantly transformed the educational landscape, particularly in how students access, process, and disseminate information in digital environments. This study aims to examine the integration of Qur’anic ethical principles in fostering responsible digital literacy among Muslim students in the era of artificial intelligence. It focuses on key Qur’anic concepts such as tabayyun (verification of information), ethical communication, and responsibility in knowledge acquisition as moral foundations for digital literacy in contemporary education. By integrating these ethical principles with emerging technologies, the study seeks to propose a framework for promoting responsible digital behavior among students, this research employs a library research method using a qualitative approach through systematic analysis of scholarly literature related to artificial intelligence in education, digital literacy, information ethics, and Qur’anic perspectives on knowledge and communication. Data sources consist of peer-reviewed journal articles, books, and academic publications from the last five to ten years. The collected literature was analyzed using content analysis and conceptual synthesis to identify key themes linking AI-based learning environments with Qur’anic ethical teachings relevant to responsible digital engagement, the findings indicate that integrating Qur’anic ethical values provides a strong moral framework for developing responsible digital literacy in AI-supported learning environments. Principles such as tabayyun encourage critical verification of information, while Qur’anic guidance on responsible speech and knowledge fosters ethical digital communication and critical thinking. The novelty of this study lies in proposing a conceptual integration between AI-based digital literacy and Qur’anic ethical epistemology, bridging technological innovation with Islamic ethical values to cultivate morally responsible digital citizen.
Reconstructing Islamic Religious Education in the Era of Artificial Intelligence: A Qur’anic Framework for Ethical Digital Engagement Abubaker Kashada; Md. Sultan Mahmud; Daniel Thompson; Liv Paulsengaard; Daniela Florina Stancu
Integrated Education Journal Vol. 2 No. 1: Integrated Education Journal (Jan-Juni)2025
Publisher : PT Barkah Ilmi Fiddunya

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Abstract

The rapid advancement of artificial intelligence (AI) has significantly transformed contemporary educational practices, including the way knowledge is accessed, interpreted, and disseminated in digital environments. These developments present both opportunities and ethical challenges, particularly for Islamic Religious Education, which seeks to guide students not only in intellectual development but also in moral responsibility. This study aims to reconstruct Islamic Religious Education in the era of artificial intelligence by developing a Qur’anic framework for ethical digital engagement. The research focuses on how key Qur’anic ethical principles such as tabayyun (verification of information), responsibility in knowledge acquisition, and ethical communication can serve as moral foundations for digital literacy and responsible technology use among students, this study employs a qualitative approach using the library research method, which involves a systematic analysis of scholarly literature related to artificial intelligence in education, digital literacy, ethics of technology, and Qur’anic perspectives on knowledge and communication. The data sources consist of peer-reviewed journal articles, academic books, and relevant research publications published within the last five to ten years. The collected literature was analyzed through content analysis and conceptual synthesis to identify key themes connecting AI-based educational environments with Qur’anic ethical teachings relevant to responsible digital engagement, the findings indicate that integrating Qur’anic ethical principles into digital learning environments provides a strong moral framework for guiding students in the responsible use of artificial intelligence technologies. Principles such as tabayyun encourage critical verification of information, while Qur’anic guidance on ethical communication promotes respectful interaction and prevents the spread of misinformation in digital spaces. The novelty of this study lies in proposing a conceptual integration between AI-driven digital learning and Qur’anic ethical epistemology, offering a framework for reconstructing Islamic Religious Education that balances technological innovation with ethical and spiritual values in the digital age
Developing Maqasid al-Shariah-Based Artificial Intelligence Models for Transformative Islamic Education in the Era of Technological Disruption and Knowledge Society Uria Hasnan; Muhammad Eissawy Abu El Yazid; Abubaker Kashada; Mohammad Ahmad Bani Amer; Rahmat Ullah; Ahmad Faizal Syahrul Azmi
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 Uria Hasnan; Muhammad Eissawy Abu El Yazid; Abubaker Kashada; Mohammad Ahmad Bani Amer; Rahmat Ullah; Ahmad Faizal Syahrul Azmi
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.