Evangelium in Silicio: A Systematic Literature Review on AI-Enhanced Catechesis Methods for Generation Z Catholics
Keywords:
digital catechesis, AI integration, Generation Z, digital transformationAbstract
This research analyzes the potential integration of Artificial Intelligence (AI) in Catholic catechesis for Generation Z through a systematic literature review of 98 articles published between 2015-2024. Using the PRISMA approach and three-level thematic analysis, this study identifies significant transformations in digital catechesis methods, focusing on three main areas: personalization of faith formation, digital contextualization, and AI integration in spiritual assessment. Results show improvements in doctrinal understanding and sacramental participation when AI is appropriately implemented. The digital catechesis integrity and adaptive learning pathways frameworks provide guidance for implementation that balances technological innovation with fidelity to the Magisterium. This study contributes to developing catechesis models that are responsive to Generation Z's needs while maintaining the integrity of Catholic teaching.
References
Adiguzel, T., Kaya, M. H., & Cansu, F. K. (2023). Revolutionizing education with AI: Exploring the transformative potential of ChatGPT. Contemporary Educational Technology, 15(3). https://doi.org/10.30935/cedtech/13152
Alruthaya, A., Nguyen, T. T., & Lokuge, S. (2021). The Application of Digital Technology and the Learning Characteristics of Generation Z in Higher Education. ACIS 2021 - Australasian Conference on Information Systems, Proceedings, 1–7.
Demir, B., & Sönmez, G. (2021). JOURNAL OF LANGUAGE AND LINGUISTIC STUDIES Generation Z students’ expectations from English language instruction. Journal of Language and Linguistic Studies, 17(1), 683–701. www.jlls.org
Khanal, S., & Pokhrel, S. R. (2024). Analysis, Modeling and Design of Personalized Digital Learning Environment. 1–9. http://arxiv.org/abs/2405.10476
Kurata, L., Ayanwale, M. A., Molefi, R. R., & Sanni, T. (2025). Teaching religious studies with artificial intelligence: A qualitative analysis of Lesotho secondary schools teachers’ perceptions. International Journal of Educational Research Open, 8, 100417. https://doi.org/https://doi.org/10.1016/j.ijedro.2024.100417
Luo, Y. (2024). Revolutionizing education with AI : The adaptive cognitive enhancement model ( ACEM ) for personalized cognitive development. Proceedings of the 2nd International Conference on Machine Learning and Automation, 0, 71–76. https://doi.org/10.54254/2755-2721/82/20240929
Prawira, A. W., Mahelvi, A., & Mufidah, B. (2024). View of Digital Media in Religious Education _ Challenges and Opportunities.pdf. Green Philosophy: International Journal of Religous Education and Philosophy, 1(2), 09–15.
Simmerlein, J. (2024). Sacred Meets Synthetic: A Multi-Method Study on the First AI Church Service. Review of Religious Research. https://doi.org/10.1177/0034673x241282962
Singh, J., Steele, K., & Singh, L. (2021). Combining the Best of Online and Face-to-Face Learning: Hybrid and Blended Learning Approach for COVID-19, Post Vaccine, & Post-Pandemic World. Journal of Educational Technology Systems, 50(2), 140–171. https://doi.org/10.1177/00472395211047865
Waruwu, Y. (2024). Jurnal Abdiel : Khazanah Pemikiran Teologi , Pendidikan Agama Kristen dan Musik Gereja Pendidikan Agama Kristen dalam Era AI : Menggunakan Kecerdasan Buatan untuk Personalisasi Pembelajaran Spiritual. 2(2), 151–165. https://doi.org/10.37368/ja.v8i2.786
Zhang, Q. (2024). Harnessing Artificial Intelligence for Personalized Learning Pathways : A Framework for Adaptive Education Management Systems. Proceedings of the 2nd International Conference on Machine Learning and Automation, 0, 167–172. https://doi.org/10.54254/2755-2721/82/20241102