Artificial Intelligence in Christian Religious Education: A Scoping Review

This article maps research on artificial intelligence (AI) in Christian Religious Education (CRE) during the first phase of rapid development following the widespread adoption of generative AI. A scoping review was conducted in Scopus, Web of Science, the Open Digital Theological Library, and IxTheo, supplemented by Google Scholar. Included were full-text English-language publications from 1 January 2023 to 31 March 2026 that addressed AI in Christian educational, catechetical, theological–educational, or formative contexts. The final corpus comprised 23 publications. Data were charted by publication type, geographical and educational context, main topic, and key claims or findings. The results show that the field is recent, methodologically heterogeneous, and not yet well consolidated, but that the emerging debate is organised around four inter-related strands: didactic potential and personalisation, ethical–technical limitations, anthropological–theological reflection, and systemic, institutional, and cultural–geographical conditions. The literature is marked by a tension between AI’s didactic potential and concerns regarding its ethical, theological, anthropological, and institutional implications. The review contributes a thematic synthesis that clarifies why AI integration in CRE requires not only educational innovation but also theologically informed, pedagogically mediated, and context-sensitive frameworks for religious formation. Significant gaps remain, including limited empirical and longitudinal research, insufficient attention to students’ and parents’ perspectives, cultural and linguistic contexts, and a lack of religion-specific, empirically tested didactic models. The review concludes that future research should move toward longitudinal, practice-based, and theologically grounded models for AI use in CRE.

Authors

Institutions

Publication Details

Journal
Religions
Published
2026-08-21
DOI
https://doi.org/10.3390/rel17080991
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Artificial Intelligence in Christian Religious Education: A Scoping Review

Mariusz Chrostowski
Religions
Artificial Intelligence in Healthcare and Education
article

Artificial Intelligence in Christian Religious Education: A Scoping Review

Mariusz Chrostowski
article en

Abstract

This article maps research on artificial intelligence (AI) in Christian Religious Education (CRE) during the first phase of rapid development following the widespread adoption of generative AI. A scoping review was conducted in Scopus, Web of Science, the Open Digital Theological Library, and IxTheo, supplemented by Google Scholar. Included were full-text English-language publications from 1 January 2023 to 31 March 2026 that addressed AI in Christian educational, catechetical, theological–educational, or formative contexts. The final corpus comprised 23 publications. Data were charted by publication type, geographical and educational context, main topic, and key claims or findings. The results show that the field is recent, methodologically heterogeneous, and not yet well consolidated, but that the emerging debate is organised around four inter-related strands: didactic potential and personalisation, ethical–technical limitations, anthropological–theological reflection, and systemic, institutional, and cultural–geographical conditions. The literature is marked by a tension between AI’s didactic potential and concerns regarding its ethical, theological, anthropological, and institutional implications. The review contributes a thematic synthesis that clarifies why AI integration in CRE requires not only educational innovation but also theologically informed, pedagogically mediated, and context-sensitive frameworks for religious formation. Significant gaps remain, including limited empirical and longitudinal research, insufficient attention to students’ and parents’ perspectives, cultural and linguistic contexts, and a lack of religion-specific, empirically tested didactic models. The review concludes that future research should move toward longitudinal, practice-based, and theologically grounded models for AI use in CRE.

ReligionsVol. 17(8)
Catholic University of Eichstätt-Ingolstadt (DE)
Quality Education
Openalex Percentile: Top 13%
Artificial Intelligence in Healthcare and Education
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.