Exploring the Ethical Boundaries of AI Use in Secondary Vocational Education

Authors

DOI:

https://doi.org/10.3991/ijep.v16i5.60331

Keywords:

Artificial Intelligence (AI), vocational education, ethics in education, academic dishonesty, digital competencies, secondary technical schools

Abstract


The integration of artificial intelligence (AI) into vocational education presents both significant opportunities and complex ethical challenges. This study examines the use of AI among learners attending secondary technical and vocational schools, with a particular focus on the boundary between legitimate learning support and academic dishonesty. A quantitative questionnaire survey was conducted with 1,745 learners from Slovakia, the Czech Republic, Hungary and Poland. The collected data were analysed using descriptive statistics and a thematic analysis of open-ended responses. The results indicate widespread use of AI tools among the surveyed learners. Most respondents reported regular use of AI to understand learning materials, generate texts, complete assignments and support project work. Many respondents reported confidence in evaluating AI-generated content, suggesting a perceived level of digital literacy and critical awareness. Nevertheless, open-ended responses revealed several forms of academically dishonest AI use, particularly for generating code, writing essays, preparing presentations and completing tasks without meaningful cognitive engagement. Thematic analysis identified key motivations such as time efficiency and pragmatic task management, alongside a nuanced awareness of the ethical boundary between legitimate assistance and misconduct. The findings highlight the urgent need for pedagogical approaches that promote responsible and ethical use of AI. Moreover, the study reinforces the view that, in an increasingly technology-driven educational landscape, competencies in interacting with AI, such as formulating effective prompts, verifying outputs, and engaging in critical evaluation, are becoming essential skills for vocational school graduates.

Author Biographies

Peter Tokoš, DTI University, Dubnica nad Váhom, Slovakia

Peter Tokoš is a researcher at the Department of Didactics of Vocational Subjects at the DTI University in Dubnica nad Váhom, Slovakia. He holds a PhD in Educational Sciences with a focus on the didactics of technical-vocational subjects. His research addresses technical education in distance and hybrid learning contexts at the primary and secondary levels, as well as the integration of artificial intelligence into vocational teaching.

E-mail: peter.tokos@petertokos.com

 

Roman Hrmo, Czech University of Life Sciences Prague, Prague, Czech Republic

Roman Hrmo is a full-time Professor at the Department of Professional and Personal Development at the Czech University of Life Sciences in Prague, Czechia. As a leading expert in engineering pedagogy, he serves on the Doctoral Council for Didactics of Technical Subjects. He has contributed to internationally recognised research and led multiple scientific projects. He holds memberships in key bodies, including the Executive of IGIP, EUR-ACE® Label Committee of ENAEE, and serves as President of the Slovak Monitoring Committee of IGIP.

E-mail: hrmo@ivp.czu.cz

 

Juraj Miština, University of Ss. Cyril and Methodius in Trnava, Trnava, Slovakia

Juraj Miština is an Associate Professor at the Faculty of Arts, University of Ss. Cyril and Methodius in Trnava, Slovakia. He specialises in field didactics, internet linguistics, and digital communication. His extensive body of peer-reviewed publications evidences his expertise in the field. He has made significant contributions to the research of online communication strategies and has presented his work at numerous international conferences.

E-mail: juraj.mistina@ucm.sk

 

Lucia Krištofiaková, Czech University of Life Sciences Prague, Prague, Czech Republic

Lucia Krištofiaková is an Associate Professor at the Department of Pedagogy at the Czech University of Life Sciences in Prague, Czechia. Her research focuses on engineering pedagogy and educational quality. She has coordinated numerous national and international projects and serves as an internal quality auditor. She is a Secretary of the Informatics Society for Engineering Education, General Secretary of the Slovak IGIP Section, and a member of the ENAEE Administrative Council.

E-mail: kristofiakova@ivp.czu.cz

 

Lucie Smékalová, Czech University of Life Sciences Prague, Prague, Czech Republic

Lucie Smékalová is an Assistant Professor at the Institute of Education and Counselling at the Czech University of Life Sciences in Prague, Czechia. She holds degrees in Education and Adult Education from Palacký University Olomouc, Czechia. Her research interests include teacher competencies, transferable skills, and innovative teaching methods. She is a member of the Czech Educational Research Association.

E-mail: smekaloval@ivp.czu.cz

References

[1] N. Yadav, Education in Age of AI: Faculty and Students to Embrace AI, 2025. doi: 10.13140/RG.2.2.24283.89127.

[2] J. Chaudhary and J. Goyal, "The Future of AI in Education: A Conceptual Exploration," Int. J. Indian Psychol., vol. 13, 2025. doi: 10.25215/1301.289.

[3] S. Ahmed, AI and Its Role in Education: A Brief History of AI in Education, 2024. [Online]. Available: https://www.researchgate.net/publication/386422997

[4] Y. Wang, R. Zhou, and S. Zhou, "Current Situation and Prospect of AI Education Application," Int. J. Educ. Soc. Dev., vol. 2, 2025. doi: 10.54097/4fm3ma48.

[5] I. Pondelíková, Enhancing University Education in Slovakia: Pioneering AI Tools for Achieving Excellence in the Educational Process of English Language and Anglophone Cultures, Trnava: UCM in Trnava, 2025. [Online]. Available: https://isbnsearch.org/isbn/9788057204893

[6] N. Bi, "Inclusive and Equitable Education with AI: Addressing the Needs of Diverse Learners through AI Solutions," Int. J. Humanit. Soc. Sci., vol. 14, 2025. doi: 10.35629/7722-14046974.

[7] I. Pondelíková and J. Luprichová, "AI-assisted enhancing of gender awareness through reading comprehension in history and literature courses of anglophone cultures," in Proc. CELDA 2024, D. G. Sampson, D. Ifenthaler, and P. Isaias, Eds., pp. 198–208. IADIS Press, 2024. [Online]. Available: https://isbnsearch.org/isbn/9789898704610

[8] R. Denkin, "On Perception of Prevalence of Cheating and Usage of Generative AI," arXiv preprint, 2024. doi: 10.48550/arXiv.2405.18889.

[9] M. Černochová, H. Selcuk, and T. Podoljak, "Perspectives of Czech High School Students on Cheating in Remote Education," in Proc. Eur. Conf. e-Learning, vol. 23, 2024. doi: 10.34190/ecel.23.1.2773.

[10] N. Humble et al., "The Consequences of ChatGPT for Programming Education: Cheating or AI-enhanced Learning?," 2023. [Online]. Available: https://www.researchgate.net/ publication/376397286

[11] E. Pariyanti, M. Wibowo, Z. Sultan, and S. Patiro, "Navigating the Ethical Dilemma in Digital Learning: Balancing AI with Spiritual Integrity to Address Cheating," J. Appl. Res. High. Educ., 2025. doi: 10.1108/JARHE-10-2024-0522.

[12] A. Merod, "Just 18% of Teachers Report Using AI in the Classroom," 2024. [Online]. Available: https://www.k12dive.com/news/teacher-ai-use-schools/714073/

[13] V. Chen, "How Many Students Are Using AI in Classrooms?," 2025. [Online]. Available: https://gptzero.me/news/student-ai-use-classroom-report/

[14] A. Prothero, "Math Teachers Have Little Confidence in Their AI Abilities," Education Week, 2025. [Online]. Available: https://www.edweek.org/technology/math-teachers-have-little-confidence-in-their-ai-abilities/2025/

[15] I. Pondelíková and J. Luprichová, "Exploring the Efficacy of ChatGPT in Enhancing Specialized Communication Skills in English Language Learning," J. Teach. Engl. Specif. Acad. Purp., vol. 13, no. 1, pp. 25–40, 2025. doi: 10.22190/JTESAP250125003P.

[16] J. Luprichová, "Artificial Intelligence as a Teaching Assistant in Vocational Education: Preliminary Insights from AI Tool Evaluation," in Proc. UMTEB 2025, A. N. Özker and A. Ada, Eds., Liberty Publishing House, pp. 1–9, 2025.

[17] Z. Huľová and E. Bolčová, “Implementation of the STEAM concept in project learning” = Izvajanje koncepta STEAM v projektnem učenju; Technical creativity in school's curricula with the form of project learning, in Technical creativity in school’s curricula with the form of project learning: From idea to the product – from the kindergarten to the technical faculty: 27th International Science Symposium, J. Bezjak, Ed., D. Purković and J. Lamut, Rev., 1st ed. Somaru, Slovenia: Združenje pedagogov tehnične ustvarjalnosti Slovenije, 2024, pp. 34–38. ISBN 978-961-6728-68-3.

[18] M. Hrobková and Z. Huľová, “Project-based learning as a strategy of teaching English language”, in QUAERE 2024: Recenzovaný sborník příspěvků interdisciplinární mezinárodní vědecké konference doktorandů a odborných asistentů = Reviewed Proceedings of the Interdisciplinary Scientific International Conference for PhD Students and Assistants, 1st ed., vol. 14. Hradec Králové, Czech Republic: Magnanimitas akademické sdružení, 2024, pp. 490–498. ISBN 978-80-87952-40-5.

[19] R. Hrmo, J. Miština, and L. Krištofiaková, "Improving the Quality of Technical and Vocational Education in Slovakia for European Labour Market Needs," Int. J. Eng. Pedagogy, vol. 6, no. 2, pp. 14–22, 2016. doi: 10.3991/ijep.v6i2.5489.

[20] P. Andres, D. Dobrovská, D. Vaněček, and J. Miština, "The Impact of the Pandemic Crisis on Technology Standard of Traditional University Education," in Mobility for Smart Cities and Regional Development – Challenges for Higher Education, vol. 2, M. Auer, H. Hortsch, and O. Michler, Eds., Springer, pp. 187–198, 2022. doi: 10.1007/978-3-030-93907-6_20.

[21] P. Gavora, Úvod do pedagogického výskumu, Brno: Paido, 2000. ISBN 80-85931-79-6.

[22] P. Gavora et al., Elektronická učebnica pedagogického výskumu [online], Bratislava: Univerzita Komenského, 2010. [Online]. Available: http://www.e-metodologia.fedu.uniba.sk/. ISBN 978-80-223-2951-4.

[23] A. Kaščáková and G. Nedelová, Štatistické metódy pre spoločenské a humanitné vedy, Banská Bystrica: UMB, 2011. ISBN 987-80-557.

[24] Y. Çeti̇n, H. Alakuş, and H. Kaplan, "Examining School Principals' and Teachers' Perceptions of Using ChatGPT in Education," Educ. Process Int. J., vol. 13, no. 3, pp. 85–96, 2024. doi: 10.22521/edupij.2024.133.5.

[25] D. Chairilsyah, "Cheating on Elementary School Students," Primary: J. Pendidik. Guru Sekol. Dasar, vol. 9, 2020. doi: 10.33578/jpfkip.v9i6.8090.

[26] F. Gjermeni, F. Prodani, and E. Zeqo, „Role of AI in Education: A Review“. International Journal of Engineering Pedagogy (iJEP), vol. 15, no. 4, pp. 127–142, 2025. [Online]. doi: 10.3991/ijep.v15i4.54055

[27] D. Stoyanova, S. Stoyanova-Petrova, and N. Mileva, „Exploring Students’ and Teachers’ Perceptions about Using ChatGPT in Programming Education“. International Journal of Engineering Pedagogy (iJEP) , 15 (2), str. 15–41. 2025. [Online]. doi: 10.3991/ijep.v15i2.50607

[28] G. Asiksoy „An Investigation of University Students’ Attitudes Towards Artificial Intelligence Ethics“. International Journal of Engineering Pedagogy (iJEP), 14(8), pp. 153–169, 2024. [Online]. doi: 10.3991/ijep.v14i8.50769

[29] I. Irwanto, „Research trends on artificial intelligence in K-12 education in Asia: a bibliometric analysis using the Scopus database (1996–2025)“, Discover Artificial Intelligence, vol. 5, article 155, 2025. [Online]. doi: 10.1007/s44163-025-00389-4

[30] T. K. F. Chiu et al., „Creation and evaluation of a pretertiary artificial intelligence (AI) curriculum“, IEEE Transactions on Education, vol. 65, no. 1, pp. 30–39, 2022. [Online]. doi: 10.1109/TE.2021.3085878

[31] J. Y. Chung and S. Lee, „Dropout early warning systems using machine learning in school education“, Child & Youth Services Review, vol. 96, pp. 346–353, 2019. [Online]. doi: 10.1016/j.childyouth.2018.11.030

[32] C. S. Chai, P.-Y. Lin, M. S. Y. Jong, Y. Dai, T. K. F. Chiu, and J. Qin, „Perceptions of and Behavioral Intentions towards Learning Artificial Intelligence in Primary School Students“, Educational Technology & Society, vol. 24, no. 3, pp. 89–101, 2021. [Online]. https://www.jstor. org/stable/27032858

[33] H. Crompton, M. V. Jones, and D. Burke, „Affordances and challenges of artificial intelligence in K-12 education: a systematic review“, Journal of Research on Technology in Education, vol. 56, no. 3, pp. 248–268, 2024. [Online]. doi: 10.1080/15391523.2022.2121344.

[34] M. Turós, R. Nagy, Z. Szűcs, „What percentage of secondary school students have used artificial intelligence to do their homework“, Computers & Education: Artificial Intelligence, 2025, vol. 6, pp. 100234. [Online]. doi: 10.1016/j.caeai.2025.100234

[35] V. R. Lee, D. Pope, S. Miles, R. C. Zárate, „Cheating in the age of generative AI: a high school survey study of cheating behaviors before and after the release of ChatGPT“, Computers & Education: Artificial Intelligence, 2024, vol. 7, art. no. 100253. [Online]. doi: 10.1016/j.caeai.2024.100253

Downloads

Published

2026-09-04

How to Cite

Tokoš, P., Hrmo, R., Miština, J., Krištofiaková, L., & Smékalová, L. (2026). Exploring the Ethical Boundaries of AI Use in Secondary Vocational Education. International Journal of Engineering Pedagogy (iJEP), 16(5), pp. 62–79. https://doi.org/10.3991/ijep.v16i5.60331

Issue

Section

Papers