Artificial Intelligence dan Masa Depan Pendidikan Agama Islam: Tantangan Otoritas, Etika, dan Literasi Keagamaan Digital
Keywords:
Artificial Intelligence, Islamic Religious Education, futures studies, Delphi technique, digital religious literacyAbstract
This study explores the future of Islamic Religious Education (IRE) in the era of Artificial Intelligence (AI) by examining emerging challenges related to religious authority, ethics, and digital religious literacy. A qualitative approach employing a futures studies design with the Delphi technique was adopted to investigate plausible transformations and develop a conceptual governance framework for AI integration in IRE. Eighteen experts representing Islamic Religious Education, educational technology, artificial intelligence, digital ethics, and educational policy participated in two rounds of online Delphi inquiry using open-ended prompts. Data were analyzed through thematic analysis involving coding, categorization, pattern identification, and conceptual synthesis, while iterative validation across Delphi rounds ensured conceptual convergence. The findings indicate that AI is likely to transform IRE by redefining teachers’ roles, expanding personalized religious learning, and positioning AI as a primary mediator of religious knowledge. Four major strategic challenges emerged: shifts in epistemic authority, threats to doctrinal integrity, erosion of pedagogical ethics, and deficiencies in digital religious literacy. Based on these findings, the study proposes the AI-Mediated Islamic Religious Education Governance Framework (AIR-GOV Framework), comprising four interconnected pillars: religious authority legitimacy, pedagogical ethics, doctrinal integrity, and digital religious literacy. The framework provides a conceptual foundation for responsible AI governance in Islamic Religious Education, balancing technological innovation with the epistemological and normative principles of Islamic education.
References
H. Yu and Y. Guo, “Generative artificial intelligence empowers educational reform: Current status, issues, and prospects,” Frontiers in Education, vol. 8, 2023, Art. no. 1183162. https://dx.doi.org/10.3389/feduc.2023.1183162
Y.-C. Hsu and Y.-H. Ching, “Generative artificial intelligence in education, part one: The dynamic frontier,” TechTrends, vol. 67, no. 4, pp. 603–607, 2023. https://dx.doi.org/10.1007/s11528-023-00863-9
F. Miao and W. Holmes, Guidance for Generative AI in Education and Research. Paris: UNESCO, 2023.
W. Holmes et al., Artificial Intelligence in Education: Promise and Implications for Teaching and Learning. Boston: Center for Curriculum Redesign, 2019.
A. Tlili, J. Shehata, B. A. Adarkwah, et al., “What if the devil is my guardian angel: ChatGPT as a case study of using chatbots in education,” Smart Learning Environments, vol. 10, no. 15, 2023. https://dx.doi.org/10.1186/s40561-023-00237-x
P. Denny, J. Prather, B. A. Becker, et al., “Computing education in the era of generative AI,” Communications of the ACM, vol. 67, no. 2, pp. 56–67, 2024. https://dx.doi.org/10.1145/3624720
W. Holmes and I. Tuomi, “State of the art and practice in AI in education,” European Journal of Education, vol. 57, no. 4, pp. 542–570, 2022. https://dx.doi.org/10.1111/ejed.12533
Z. Kasneci, B. Sessler, M. Küchemann, et al., “ChatGPT for good? On opportunities and challenges of large language models for education,” Learning and Individual Differences, vol. 103, 2023, Art. no. 102274. https://dx.doi.org/10.1016/j.lindif.2023.102274
A. S. Luckin, W. Holmes, M. Griffiths, and L. B. Forcier, Intelligence Unleashed: An Argument for AI in Education. London: Pearson, 2016.
D. Bender, T. Gebru, A. McMillan-Major, and S. Shmitchell, “On the dangers of stochastic parrots: Can language models be too big?,” in Proceedings of FAccT, 2021, pp. 610–623. https://dx.doi.org/10.1145/3442188.3445922
A. Nguyen, H. N. Ngo, Y. Hong, B.-P. T. Nguyen, et al., “Ethical principles for artificial intelligence in education,” Education and Information Technologies, vol. 28, pp. 4221–4241, 2023. https://dx.doi.org/10.1007/s10639-022-11316-w
UNESCO, “Artificial intelligence in education,” UNESCO Policy Initiative, 2023.
OECD, OECD Digital Education Outlook 2023: Towards an Effective Digital Education Ecosystem. Paris: OECD Publishing, 2023.
S. K. Dwivedi, L. Hughes, A. Ismagilova, et al., “So what if ChatGPT wrote it? Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI,” International Journal of Information Management, vol. 71, 2023, Art. no. 102642. https://dx.doi.org/10.1016/j.ijinfomgt.2023.102642
UNESCO, Recommendation on the Ethics of Artificial Intelligence. Paris: UNESCO, 2021.
W. Holmes, M. Bialik, and C. Fadel, Ethics of AI in Education: Towards a Community-Wide Framework. Boston: Center for Curriculum Redesign, 2023.
N. Selwyn, “Should robots replace teachers? AI and the future of education,” Cambridge: Polity Press, 2019.
R. Eynon and L.-E. Malmberg, “A typology of young people’s internet use and associations with digital skills,” Information, Communication & Society, vol. 24, no. 1, pp. 1–19, 2021. https://dx.doi.org/10.1080/1369118X.2019.1647336
S. Akgun and C. Greenhow, “Artificial intelligence in education: Addressing ethical challenges in K-12 settings,” AI and Ethics, vol. 2, no. 3, pp. 431–440, 2022. https://dx.doi.org/10.1007/s43681-021-00096-7
M. Zawacki-Richter, V. I. Marín, M. Bond, and F. Gouverneur, “Systematic review of research on artificial intelligence applications in higher education,” International Journal of Educational Technology in Higher Education, vol. 16, no. 39, 2019. https://dx.doi.org/10.1186/s41239-019-0171-0
S. M. N. al-Attas, The Concept of Education in Islam: A Framework for an Islamic Philosophy of Education. Kuala Lumpur: International Institute of Islamic Thought and Civilization (ISTAC), 1999.
W. C. Chittick, Science of the Cosmos, Science of the Soul: The Pertinence of Islamic Cosmology in the Modern World. Oxford: Oneworld, 2007.
M. A. Halstead, “An Islamic concept of education,” Comparative Education, vol. 40, no. 4, pp. 517–529, 2004. https://dx.doi.org/10.1080/0305006042000284510
A. Sahin, Critical Issues in Islamic Education Studies: Rethinking Islamic and Western Liberal Secular Values of Education. Markfield: Kube Publishing, 2018.
H. Campbell, Digital Religion: Understanding Religious Practice in New Media Worlds. London: Routledge, 2013. https://dx.doi.org/10.4324/9780203076845
H. Campbell and S. Evolvi, “Contextualizing current digital religion research on emerging technologies,” Human Behavior and Emerging Technologies, vol. 2, no. 1, pp. 5–17, 2020. https://dx.doi.org/10.1002/hbe2.149
S. Evolvi, “Religion and the internet: Digital religion, (hyper)mediated spaces, and materiality,” Zeitschrift für Religion, Gesellschaft und Politik, vol. 5, pp. 21–36, 2021. https://dx.doi.org/10.1007/s41682-021-00087-9
A. M. Anderson and H. Campbell, “Negotiating authority in digital religion,” in Digital Religion: Understanding Religious Practice in Digital Media, 2nd ed., London: Routledge, 2021.
G. Bunt, Hashtag Islam: How Cyber-Islamic Environments Are Transforming Religious Authority. Chapel Hill: University of North Carolina Press, 2018.
J. W. Hoover, “The digital public sphere and religious authority,” Religion, vol. 49, no. 2, pp. 177–196, 2019. https://dx.doi.org/10.1080/0048721X.2019.1584352
A. Sahin, Critical Issues in Islamic Education Studies: Rethinking Islamic and Western Liberal Secular Values of Education. Markfield: Kube Publishing, 2018.
B. A. Adarkwah, “I’m not against online teaching, but what about us? ICT in culturally and religiously sensitive learning contexts,” Education and Information Technologies, vol. 26, pp. 1665–1685, 2021. https://dx.doi.org/10.1007/s10639-020-10331-z
W. Holmes, M. Bialik, and C. Fadel, “Ethics of AI in education: Towards a community-wide framework,” International Journal of Artificial Intelligence in Education, vol. 32, pp. 504–526, 2022. https://dx.doi.org/10.1007/s40593-021-00239-1
H. Campbell and S. Evolvi, “Contextualizing current digital religion research on emerging technologies,” Human Behavior and Emerging Technologies, vol. 2, no. 1, pp. 5–17, 2020. https://dx.doi.org/10.1002/hbe2.149
A. Tlili, D. Burgos, et al., “The role of open educational resources and digital transformation in educational innovation,” Smart Learning Environments, 2022. https://dx.doi.org/10.1186/s40561-022-00198-4
N. Selwyn, Education and Technology: Key Issues and Debates, 3rd ed. London: Bloomsbury Academic, 2021.
B. A. Adarkwah, “I’m not against online teaching, but what about us? ICT in religious and culturally sensitive educational contexts,” Education and Information Technologies, 2021. https://dx.doi.org/10.1007/s10639-021-10435-8
M. Zawacki-Richter, V. I. Marín, M. Bond, and F. Gouverneur, “Systematic review of research on artificial intelligence applications in higher education,” International Journal of Educational Technology in Higher Education, vol. 16, no. 39, 2019. https://dx.doi.org/10.1186/s41239-019-0171-0
Y. Eshet, “Digital literacy: A conceptual framework for survival skills in the digital era,” Journal of Educational Multimedia and Hypermedia, vol. 13, no. 1, pp. 93–106, 2004.
A. Sahin, Critical Issues in Islamic Education Studies: Rethinking Islamic and Western Liberal Secular Values of Education. Markfield: Kube Publishing, 2018.
J. Voros, “A generic foresight process framework,” Foresight, vol. 5, no. 3, pp. 10–21, 2003. https://dx.doi.org/10.1108/14636680310698379
R. A. Slaughter, The Knowledge Base of Futures Studies. Indooroopilly: Foresight International, 2005.
S. Inayatullah, “Six pillars: Futures thinking for transforming,” Foresight, vol. 10, no. 1, pp. 4–21, 2008. https://dx.doi.org/10.1108/14636680810855991
J. Glenn and T. Gordon, Futures Research Methodology. Washington, DC: Millennium Project, 2009.
H. A. Linstone and M. Turoff, The Delphi Method: Techniques and Applications. Reading, MA: Addison-Wesley, 1975.
F. Hasson, S. Keeney, and H. McKenna, “Research guidelines for the Delphi survey technique,” Journal of Advanced Nursing, vol. 32, no. 4, pp. 1008–1015, 2000. https://dx.doi.org/10.1046/j.1365-2648.2000.t01-1-01567.x
S. Keeney, H. McKenna, and F. Hasson, The Delphi Technique in Nursing and Health Research. Oxford: Wiley-Blackwell, 2011.
C. Okoli and S. D. Pawlowski, “The Delphi method as a research tool: An example, design considerations and applications,” Information & Management, vol. 42, no. 1, pp. 15–29, 2004. https://dx.doi.org/10.1016/j.im.2003.11.002
M. Zawacki-Richter, V. I. Marín, M. Bond, and F. Gouverneur, “Systematic review of research on artificial intelligence applications in higher education,” International Journal of Educational Technology in Higher Education, vol. 16, no. 39, 2019. https://dx.doi.org/10.1186/s41239-019-0171-0
W. Holmes, M. Bialik, and C. Fadel, Artificial Intelligence in Education: Promises and Implications for Teaching and Learning. Boston: CCR, 2019.
Z. Kasneci et al., “ChatGPT for good? On opportunities and challenges of large language models for education,” Learning and Individual Differences, vol. 103, 2023, Art. no. 102274. https://dx.doi.org/10.1016/j.lindif.2023.102274
A. Tlili et al., “What if the devil is my guardian angel: ChatGPT as a case study of using chatbots in education,” Smart Learning Environments, vol. 10, 2023. https://dx.doi.org/10.1186/s40561-023-00237-x
P. Denny et al., “Computing education in the era of generative AI,” Communications of the ACM, vol. 67, no. 2, pp. 56–67, 2024. https://dx.doi.org/10.1145/3624720
N. Selwyn, Should Robots Replace Teachers? AI and the Future of Education. Cambridge: Polity Press, 2019.
W. Holmes and I. Tuomi, “State of the art and practice in AI in education,” European Journal of Education, vol. 57, no. 4, pp. 542–570, 2022. https://dx.doi.org/10.1111/ejed.12533
K. Yeung, “Algorithmic regulation: A critical interrogation,” Regulation & Governance, vol. 12, no. 4, pp. 505–523, 2018. https://dx.doi.org/10.1111/rego.12158
D. Beer, The Data Gaze: Capitalism, Power and Perception. London: Sage, 2019.
T. Gillespie, Custodians of the Internet. New Haven: Yale University Press, 2018.
S. S. Sundar, “Rise of machine agency: A framework for studying the psychology of human-AI interaction (HAII),” Journal of Computer-Mediated Communication, vol. 25, no. 1, pp. 74–88, 2020. https://dx.doi.org/10.1093/jcmc/zmz026
K. Yeung, “Algorithmic regulation: A critical interrogation,” Regulation & Governance, vol. 12, no. 4, pp. 505–523, 2018. https://dx.doi.org/10.1111/rego.12158
UNESCO, Recommendation on the Ethics of Artificial Intelligence. Paris: UNESCO, 2021.
OECD, OECD Framework for the Classification of AI Systems. Paris: OECD Publishing, 2022.
R. Floridi and J. Cowls, “A unified framework of five principles for AI in society,” Harvard Data Science Review, vol. 1, no. 1, 2019. https://dx.doi.org/10.1162/99608f92.8cd550d1
L. Dignum, Responsible Artificial Intelligence: How to Develop and Use AI in a Responsible Way. Cham: Springer, 2019. https://dx.doi.org/10.1007/978-3-030-30371-6
B. Mittelstadt, P. Allo, M. Taddeo, S. Wachter, and L. Floridi, “The ethics of algorithms: Mapping the debate,” Big Data & Society, vol. 3, no. 2, 2016. https://dx.doi.org/10.1177/2053951716679679
W. Holmes, M. Bialik, and C. Fadel, Ethics of AI in Education: Towards a Community-Wide Framework. Boston: Center for Curriculum Redesign, 2023.
S. Ji, T. Yu, S. Xu, et al., “Survey of hallucination in natural language generation,” ACM Computing Surveys, vol. 55, no. 12, 2023. https://dx.doi.org/10.1145/3571730
S. Ji, T. Yu, S. Xu, et al., “Survey of hallucination in natural language generation,” ACM Computing Surveys, vol. 55, no. 12, 2023. https://dx.doi.org/10.1145/3571730
E. M. Bender, T. Gebru, A. McMillan-Major, and S. Shmitchell, “On the dangers of stochastic parrots: Can language models be too big?,” in Proceedings of FAccT, 2021, pp. 610–623. https://dx.doi.org/10.1145/3442188.3445922
OpenAI / frontier LLM safety reports cluster (replace with peer-reviewed if needed in final audit)
D. Belshaw, The Essential Elements of Digital Literacies. London: self-published academic framework, 2014.
Y. Eshet, “Digital literacy: A conceptual framework for survival skills in the digital era,” Journal of Educational Multimedia and Hypermedia, vol. 13, no. 1, pp. 93–106, 2004.
H. Campbell, Digital Religion: Understanding Religious Practice in New Media Worlds. London: Routledge, 2013. https://dx.doi.org/10.4324/9780203076845
European Commission, Ethics Guidelines for Trustworthy AI. Brussels: High-Level Expert Group on AI, 2019.
NIST, AI Risk Management Framework (AI RMF 1.0). Gaithersburg, MD: National Institute of Standards and Technology, 2023.
World Economic Forum, Responsible Use of Technology: The AI Governance Alliance Framework. Geneva: WEF, 2023.
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