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Beyond Utility: The Impact of Religiosity and Calling on AI Adoption in Education
by
Turós, Mátyás
, Soltész-Várhelyi, Klára
, Zsódi, Viktor
, Szűts, Zoltán
, Tari, Ilona Pajtókné
, Rubovszky, Rita
, Szőke-Milinte, Enikő
in
Analysis
/ Anxiety
/ Artificial intelligence
/ Artificial intelligence literacy
/ Chatbots
/ Education
/ Educational aspects
/ Educational technology
/ educational technology integration
/ Ethics
/ Hungary
/ Influence
/ Mathematics education
/ Mediation
/ Pedagogy
/ Perceptions
/ professional identity
/ Religion
/ Religiosity
/ Religious aspects
/ religious beliefs
/ Religious vocation
/ Religiousness
/ Self-efficacy
/ Surveys
/ Teacher attitudes
/ Teachers
/ Teaching
/ Technology Acceptance Model
/ Technology adoption
/ Technology in education
/ Theology
/ Vocation (in religious orders, congregations, etc.)
2025
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Beyond Utility: The Impact of Religiosity and Calling on AI Adoption in Education
by
Turós, Mátyás
, Soltész-Várhelyi, Klára
, Zsódi, Viktor
, Szűts, Zoltán
, Tari, Ilona Pajtókné
, Rubovszky, Rita
, Szőke-Milinte, Enikő
in
Analysis
/ Anxiety
/ Artificial intelligence
/ Artificial intelligence literacy
/ Chatbots
/ Education
/ Educational aspects
/ Educational technology
/ educational technology integration
/ Ethics
/ Hungary
/ Influence
/ Mathematics education
/ Mediation
/ Pedagogy
/ Perceptions
/ professional identity
/ Religion
/ Religiosity
/ Religious aspects
/ religious beliefs
/ Religious vocation
/ Religiousness
/ Self-efficacy
/ Surveys
/ Teacher attitudes
/ Teachers
/ Teaching
/ Technology Acceptance Model
/ Technology adoption
/ Technology in education
/ Theology
/ Vocation (in religious orders, congregations, etc.)
2025
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Beyond Utility: The Impact of Religiosity and Calling on AI Adoption in Education
by
Turós, Mátyás
, Soltész-Várhelyi, Klára
, Zsódi, Viktor
, Szűts, Zoltán
, Tari, Ilona Pajtókné
, Rubovszky, Rita
, Szőke-Milinte, Enikő
in
Analysis
/ Anxiety
/ Artificial intelligence
/ Artificial intelligence literacy
/ Chatbots
/ Education
/ Educational aspects
/ Educational technology
/ educational technology integration
/ Ethics
/ Hungary
/ Influence
/ Mathematics education
/ Mediation
/ Pedagogy
/ Perceptions
/ professional identity
/ Religion
/ Religiosity
/ Religious aspects
/ religious beliefs
/ Religious vocation
/ Religiousness
/ Self-efficacy
/ Surveys
/ Teacher attitudes
/ Teachers
/ Teaching
/ Technology Acceptance Model
/ Technology adoption
/ Technology in education
/ Theology
/ Vocation (in religious orders, congregations, etc.)
2025
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Beyond Utility: The Impact of Religiosity and Calling on AI Adoption in Education
Journal Article
Beyond Utility: The Impact of Religiosity and Calling on AI Adoption in Education
2025
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Overview
The social integration of artificial intelligence (AI) poses fundamental challenges to value-driven domains such as education, where the adoption of new technologies raises not merely technical but also deeply rooted ethical and identity-related questions. While dominant technology acceptance models (e.g., TAM and UTAUT) primarily focus on cognitive-rational factors (e.g., perceived usefulness), they often overlook the cultural and value-based elements that fundamentally shape adaptation processes. Addressing this research gap, the present study examines how two hitherto under-researched factors—religiosity and teacher’s sense of calling—influence teachers’ attitudes toward AI and, ultimately, its adoption. The research is based on a survey of 680 Catholic secondary school teachers in Hungary. To analyse the data, we employed structural equation modelling (PLS-SEM) to examine the mechanisms of influence among religiosity, sense of calling, and AI attitudes. The results indicate that neither religiosity nor a sense of calling exerts a significant direct effect on AI adoption, and their indirect effects are also marginal. Although statistically significant relationships were found—stronger religiosity reduces a supportive evaluation of AI, while a higher sense of calling increases AI-related concerns—their practical significance is negligible. The study’s main conclusion is that successful AI integration, building on teachers’ pragmatic attitudes, is achieved not by neglecting value-based factors, but by developing critical AI literacy that treats technology as a responsible amplifier of pedagogical work. This finding suggests that value-based extensions of technology acceptance models should be approached with caution, as the role of these factors may be more limited than theoretical considerations imply.
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