Ambivalence and emotion in the age of AI: how students navigate ChatGPT in higher education

This article investigates how university students navigate the emotional, ethical, and pedagogical complexities of engaging with Generative Artificial Intelligence (GenAI) tools – particularly ChatGPT – within higher education. While much of the existing literature emphasises issues of functionality, academic integrity, or policy regulation, our study shifts the focus to students’ views and emotions. Drawing on qualitative data from focus groups with undergraduate students at a large public university in Cyprus, we explore how students experience and make sense of ChatGPT in ways that reflect curiosity, excitement, anxiety, mistrust, and ethical uncertainty. We argue that understanding student engagement with GenAI requires moving beyond instrumentalist frameworks. To this end, we adapt the Technology Acceptance Model (TAM) by incorporating emotional and relational dimensions, offering a more comprehensive view of how AI is perceived and used in academic life. Our findings emphasise the importance of pedagogical and institutional strategies that attend to the emotional and ethical dynamics of GenAI integration in higher education.

Authors

Institutions

Publication Details

Journal
Education Inquiry
Published
2025-09-30
DOI
https://doi.org/10.1080/20004508.2025.2567092
Citations
1
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.65
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Ambivalence and emotion in the age of AI: how students navigate ChatGPT in higher education

Michalinos Zembylas, Eleni Christodoulou
1 citations
Education Inquiry
Artificial Intelligence in Healthcare and Education
0.65
article

Ambivalence and emotion in the age of AI: how students navigate ChatGPT in higher education

Michalinos Zembylas, Eleni Christodoulou
article en
1 citations

Abstract

This article investigates how university students navigate the emotional, ethical, and pedagogical complexities of engaging with Generative Artificial Intelligence (GenAI) tools – particularly ChatGPT – within higher education. While much of the existing literature emphasises issues of functionality, academic integrity, or policy regulation, our study shifts the focus to students’ views and emotions. Drawing on qualitative data from focus groups with undergraduate students at a large public university in Cyprus, we explore how students experience and make sense of ChatGPT in ways that reflect curiosity, excitement, anxiety, mistrust, and ethical uncertainty. We argue that understanding student engagement with GenAI requires moving beyond instrumentalist frameworks. To this end, we adapt the Technology Acceptance Model (TAM) by incorporating emotional and relational dimensions, offering a more comprehensive view of how AI is perceived and used in academic life. Our findings emphasise the importance of pedagogical and institutional strategies that attend to the emotional and ethical dynamics of GenAI integration in higher education.

Education Inquiry
University of Cyprus (CY), Open University of Cyprus (CY), Nelson Mandela University (ZA)
Openalex Percentile: Top 21%
Artificial Intelligence in Healthcare and Education
0.65
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.

Ambivalence and emotion in the age of AI: how students navigate ChatGPT in higher education — Michalinos Zembylas, Eleni Christodoulou · Education Inquiry (2025) | TGRS Research Map | TGRS