Submit your papersSubmit Now
For Enquiries: [email protected]
IIARD LogoIIARD
📄 Download Paper

Artificial Intelligence, Curriculum and Implementation for Effective Christian Education Practices

Adeola Jumoke Shodunke

Abstract

The continuous evolution of the global educational landscape, driven mainly by rapid technological advancement, has significantly reshaped teaching and learning methodologies. Among these innovations, artificial Intelligence (AI) has emerged as a transformative and pervasive force, redefining educational processes and expanding instructional possibilities. As digitalization increasingly determines effectiveness and relevance in contemporary institutions, the integration of AI into educational systems has become both inevitable and strategic. Within this context, Christian education, traditionally committed to nurturing faith, character formation, and academic excellence, faces the critical task of discerning how AI can be responsibly and productively incorporated without compromising its theological foundations and spiritual objectives. The rise of AI has enabled educators to tailor instruction to learners' unique cognitive and developmental needs through personalized, adaptive learning models. Such capabilities offer valuable opportunities to enhance curriculum delivery, assessment, and student engagement in Christian educational settings. However, integrating AI also raises important theological, ethical, and pedagogical questions about its compatibility with the values, mission, and spiritual commitments of Christian education. This paper, therefore, examines the complex intersection of artificial intelligence, curriculum development, and practical implementation in Christian education, exploring how AI can be thoughtfully harnessed to support effective teaching practices while sustaining the core commitments of faith formation and holistic development.

Keywords

Artificial IntelligenceCurriculumImplementationEffective Christian education practices

References

Borenstein, J., & Howard, A. (2021). Emerging challenges in AI and the need for ethical governance. AI and Ethics, 1(1), 61–65. Brey, P., & Søraker, J. H. (2009). Philosophy of computing and information technology. In a Meijers (Ed.), Philosophy of technology and engineering sciences (pp. 13411407). Elsevier. Butarbutar, R., et al. (2023). Artificial intelligence in education: Opportunities and challenges. Journal of Educational Technology Systems, 51(4), 410–425. Francesc, P., et al. (2019). Artificial intelligence in education: A review. OECD Education Working Papers, No. 15. OECD Publishing. Hamet, P., & Tremblay, J. (2017). Artificial intelligence in medicine. Metabolism, 69, S36– S40 Heo, H., et al. (2017). Artificial intelligence in education: Trends and implications. Educational Technology & Society, 20(3), 101–112.International Society for Technology in Education & Computer Science Teachers Association. (2011). Operational definition of computational thinking for K–12 education. ISTE. Kudi, T. (2018). Artificial intelligence and educational innovation. International Journal of Advanced Computer Science, 2(1), 1–5. Li, H., et al. (2018). Artificial intelligence in education: Applications and future directions. IEEE Access, 6, 441–450. Luan, H., et al. (2020). Challenges and future directions of AI in education. Computers and Education: Artificial Intelligence, 1, 100001. Luxton, D. D. (2016). Artificial intelligence in behavioral and mental health care. Academic Press. Mwanyumba, F., et al. (2022). Integrating AI in curriculum delivery: Implications for education. Education and Information Technologies, 27(4), 476–490. Nishant, R.,Kennedy, M., & Corbett, J. (2020). Artificial intelligence for sustainability: Challenges and opportunities. MIS Quarterly Executive, 19(2), 103–118. Roos, G. (2018). Artificial intelligence: Opportunities and challenges. European Business Review, 30(5), 5–10. Sayes, E. (1978). An introduction to Christian education. Zondervan Schoeman, M., et al. (2021). AI integration in higher education: Pedagogical implications. South African Journal of Higher Education, 35(3), 1–15. Smith, B., & Shum, S. B. (2018). Learning analytics and artificial intelligence in education. British Journal of Educational Technology, 49(1), 4–10. UNESCO. (2011). ICT competency framework for teachers. UNESCO.

More Articles from WORLD JOURNAL OF INNOVATION AND MODERN TECHNOLOGY

AI-Assisted Risk and Incident Analysis: Advances and Future Opportunities

Author: Uchechi Mary-Linda Unamma, Ifeanyichukwu Jeffrey Okwesa, Serif Oyindamola, Oyesiji, Abubakar Umar Abdulmalik

Influence of Artificial Intelligence Tools on Teachers’ Instructional Delivery in Public Senior Secondary Schools in Gokana and Khana Local Government Areas of Rivers State, Nigeria

Author: BIIBALOO Juliet Legborsi, EDO Barineka Lucky, PhD NWILE Charles Befii, PhD.

Community-Centered Digital Skills: Empowering Adults for Life- Long-Learning in Yola North Local Government Area

Author: Adamu Abdullahi Potiskum, Emeka Godwin Timothy, Lawan Ladan

Dielectric Performance of Natural Ester Insulating Fluids as a Sustainable Alternative to Mineral Transformer Oil: A Systematic Review

Author: Ude Kingsley Okechukwu, Ugwu Kelvin Ikechukwu, Mmamel Ngozi Juliana, Nnamani, Micheal Obiora

Artificial Intelligence and Inclusive Practices in Special Needs Education: Opportunities, Challenges, and Future Directions

Author: Rahima Ahmadu Ribadu, Bobboi Abubakar