Which educational approaches predict students’ generative AI confidence and responsibility?

Given the risks and ethical concerns of integrating generative artificial intelligence (GenAI) into education, scholars have argued for a critical-reflective approach that addresses the long-term implications of GenAI. However, empirical research on GenAI education approaches is scarce. This study investigates the prevalence of protective-preventive, critical-reflective, and creative-productive GenAI education approaches in highly digitized Swiss upper secondary schools and how students’ experiences of these approaches relate to two aspects of their digital agency: GenAI confidence and GenAI responsibility. Using data from 2,357 students, the results showed that the critical-reflective approach was the most commonly experienced and significantly predicted students’ GenAI confidence and responsibility. The creative-productive approach positively and significantly predicted GenAI confidence but not responsibility, while the protective-preventive approach, although the second most common approach, was not significantly related to either outcome. However, these approaches explained little variance in the dependent variables, suggesting that they may not yet be effectively implemented or that digital agency is primarily developed outside schools. Analysis of the control variables showed that identifying as a female had a negative significant effect on GenAI confidence and a positive significant effect on GenAI responsibility. The findings highlight the importance of adopting a critical-reflective GenAI education approach with attention to gender issues in fostering responsible and confident digital citizens. • We investigated students' experiences of different media education approaches to GenAI • The critical-reflective is the most commonly experienced media education approach • The creative-productive approach predicts students' GenAI confidence • The critical-reflective approach predicts GenAI confidence and responsibility • The protective-preventive approach was not significantly related to either outcome

Authors

Institutions

Publication Details

Journal
Computers and Education Artificial Intelligence
Published
2025-05-26
DOI
https://doi.org/10.1016/j.caeai.2025.100431
Citations
5
Primary Topic
Child Development and Digital Technology
Type
article
Field-Weighted Citation Impact
44.63

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Which educational approaches predict students’ generative AI confidence and responsibility?

Tessa Consoli, Dominik Petko
5 citations
Computers and Education Artificial Intelligence
Child Development and Digital Technology
44.63
article

Which educational approaches predict students’ generative AI confidence and responsibility?

Tessa Consoli, Dominik Petko
article en
5 citations

Abstract

Given the risks and ethical concerns of integrating generative artificial intelligence (GenAI) into education, scholars have argued for a critical-reflective approach that addresses the long-term implications of GenAI. However, empirical research on GenAI education approaches is scarce. This study investigates the prevalence of protective-preventive, critical-reflective, and creative-productive GenAI education approaches in highly digitized Swiss upper secondary schools and how students’ experiences of these approaches relate to two aspects of their digital agency: GenAI confidence and GenAI responsibility. Using data from 2,357 students, the results showed that the critical-reflective approach was the most commonly experienced and significantly predicted students’ GenAI confidence and responsibility. The creative-productive approach positively and significantly predicted GenAI confidence but not responsibility, while the protective-preventive approach, although the second most common approach, was not significantly related to either outcome. However, these approaches explained little variance in the dependent variables, suggesting that they may not yet be effectively implemented or that digital agency is primarily developed outside schools. Analysis of the control variables showed that identifying as a female had a negative significant effect on GenAI confidence and a positive significant effect on GenAI responsibility. The findings highlight the importance of adopting a critical-reflective GenAI education approach with attention to gender issues in fostering responsible and confident digital citizens. • We investigated students' experiences of different media education approaches to GenAI • The critical-reflective is the most commonly experienced media education approach • The creative-productive approach predicts students' GenAI confidence • The critical-reflective approach predicts GenAI confidence and responsibility • The protective-preventive approach was not significantly related to either outcome

Computers and Education Artificial IntelligenceVol. 9
Kantonsschule Enge (CH)
Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
Openalex Percentile: Top 0%
Child Development and Digital Technology
44.63
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.