SWOT Analysis of AI Integration in Islamic Education: Cognitive, Affective, and Psychomotor Impacts

Artificial Intelligence (AI) has emerged as a transformative force in education, including Islamic religious education, where it offers new opportunities to enhance learning methodologies. This study aims to analyze the integration of AI in Islamic education by evaluating its strengths, weaknesses,...

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Main Authors: Andri Nirwana AN, Alfan Rifai, Mohamad Ali, Triono Ali Mustofa, Viky Nur Vambudi, Muh. Nur Rochim Maksum, Mush'ab Umar Budihargo
Format: Article
Language:English
Published: Qubahan 2025-03-01
Series:Qubahan Academic Journal
Online Access:https://journal.qubahan.com/index.php/qaj/article/view/1498
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author Andri Nirwana AN
Alfan Rifai
Mohamad Ali
Triono Ali Mustofa
Viky Nur Vambudi
Muh. Nur Rochim Maksum
Mush'ab Umar Budihargo
author_facet Andri Nirwana AN
Alfan Rifai
Mohamad Ali
Triono Ali Mustofa
Viky Nur Vambudi
Muh. Nur Rochim Maksum
Mush'ab Umar Budihargo
author_sort Andri Nirwana AN
collection DOAJ
description Artificial Intelligence (AI) has emerged as a transformative force in education, including Islamic religious education, where it offers new opportunities to enhance learning methodologies. This study aims to analyze the integration of AI in Islamic education by evaluating its strengths, weaknesses, opportunities, and threats (SWOT analysis) while categorizing its impact on cognitive, affective, and psychomotor domains based on Bloom’s Taxonomy. A qualitative approach using library research methodology was employed, with data collected from academic journals, books, and research reports, analyzed through a SWOT framework. The findings indicate that AI significantly enhances cognitive and psychomotor learning in Islamic education. AI-based tools, such as ClassPoint AI, AI Chatbots, and Squirrel AI, contribute to knowledge retention, adaptive learning, and skill-based training in areas like Quranic recitation, prayer practices, and Islamic jurisprudence. However, AI remains limited in fostering affective learning, as it lacks human emotional intelligence and the ability to provide moral and ethical guidance, which are essential in Islamic education. The study also reveals challenges such as ethical concerns, technological disparities, and socio-cultural resistance in integrating AI into religious studies. Despite these limitations, AI presents significant opportunities, particularly in remote learning, personalized education, and accessibility for underserved communities. This research provides a structured evaluation of AI’s role within Bloom’s Taxonomy, offering insights into AI’s potential and limitations in Islamic education. The study contributes theoretically by linking AI-driven education with pedagogical principles, while practically, it guides educators and policymakers in strategically implementing AI while preserving Islamic ethical values. The study concludes that while AI enhances knowledge acquisition and skill-based learning, human educators remain essential for moral and ethical development. Future research should focus on developing ethical AI models, hybrid AI-human teaching approaches, and AI-driven affective learning systems to bridge gaps in AI-assisted moral and spiritual education.
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spelling doaj-art-e602148410e34a8dba700a41ddf938b22025-08-20T02:59:52ZengQubahanQubahan Academic Journal2709-82062025-03-015110.48161/qaj.v5n1a1498SWOT Analysis of AI Integration in Islamic Education: Cognitive, Affective, and Psychomotor ImpactsAndri Nirwana AN 0Alfan Rifai 1Mohamad Ali 2Triono Ali Mustofa 3Viky Nur Vambudi4Muh. Nur Rochim Maksum 5Mush'ab Umar Budihargo6Department of Islamic Education,Faculty of Islamic Studies,Universitas Muhammadiyah Surakarta,Surakarta, Jawa Tengah 57162, Indonesi; Department of Islamic Education,Faculty of Islamic Studies,Universitas Muhammadiyah Surakarta,Surakarta, Jawa Tengah 57162, Indonesi; Department of Islamic Education,Faculty of Islamic Studies,Universitas Muhammadiyah Surakarta,Surakarta, Jawa Tengah 57162, Indonesi; Department of Islamic Education,Faculty of Islamic Studies,Universitas Muhammadiyah Surakarta,Surakarta, Jawa Tengah 57162, Indonesi; Department of Islamic Education,Faculty of Islamic Studies,Universitas Muhammadiyah Surakarta,Surakarta, Jawa Tengah 57162, Indonesi; Department of Islamic Education,Faculty of Islamic Studies,Universitas Muhammadiyah Surakarta,Surakarta, Jawa Tengah 57162, Indonesi; Department of Islamic Studies, Faculty of Sharia, Qassim University, Mulayda, Prov. Qassim 52554, Saudi Arabia. Artificial Intelligence (AI) has emerged as a transformative force in education, including Islamic religious education, where it offers new opportunities to enhance learning methodologies. This study aims to analyze the integration of AI in Islamic education by evaluating its strengths, weaknesses, opportunities, and threats (SWOT analysis) while categorizing its impact on cognitive, affective, and psychomotor domains based on Bloom’s Taxonomy. A qualitative approach using library research methodology was employed, with data collected from academic journals, books, and research reports, analyzed through a SWOT framework. The findings indicate that AI significantly enhances cognitive and psychomotor learning in Islamic education. AI-based tools, such as ClassPoint AI, AI Chatbots, and Squirrel AI, contribute to knowledge retention, adaptive learning, and skill-based training in areas like Quranic recitation, prayer practices, and Islamic jurisprudence. However, AI remains limited in fostering affective learning, as it lacks human emotional intelligence and the ability to provide moral and ethical guidance, which are essential in Islamic education. The study also reveals challenges such as ethical concerns, technological disparities, and socio-cultural resistance in integrating AI into religious studies. Despite these limitations, AI presents significant opportunities, particularly in remote learning, personalized education, and accessibility for underserved communities. This research provides a structured evaluation of AI’s role within Bloom’s Taxonomy, offering insights into AI’s potential and limitations in Islamic education. The study contributes theoretically by linking AI-driven education with pedagogical principles, while practically, it guides educators and policymakers in strategically implementing AI while preserving Islamic ethical values. The study concludes that while AI enhances knowledge acquisition and skill-based learning, human educators remain essential for moral and ethical development. Future research should focus on developing ethical AI models, hybrid AI-human teaching approaches, and AI-driven affective learning systems to bridge gaps in AI-assisted moral and spiritual education. https://journal.qubahan.com/index.php/qaj/article/view/1498
spellingShingle Andri Nirwana AN
Alfan Rifai
Mohamad Ali
Triono Ali Mustofa
Viky Nur Vambudi
Muh. Nur Rochim Maksum
Mush'ab Umar Budihargo
SWOT Analysis of AI Integration in Islamic Education: Cognitive, Affective, and Psychomotor Impacts
Qubahan Academic Journal
title SWOT Analysis of AI Integration in Islamic Education: Cognitive, Affective, and Psychomotor Impacts
title_full SWOT Analysis of AI Integration in Islamic Education: Cognitive, Affective, and Psychomotor Impacts
title_fullStr SWOT Analysis of AI Integration in Islamic Education: Cognitive, Affective, and Psychomotor Impacts
title_full_unstemmed SWOT Analysis of AI Integration in Islamic Education: Cognitive, Affective, and Psychomotor Impacts
title_short SWOT Analysis of AI Integration in Islamic Education: Cognitive, Affective, and Psychomotor Impacts
title_sort swot analysis of ai integration in islamic education cognitive affective and psychomotor impacts
url https://journal.qubahan.com/index.php/qaj/article/view/1498
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