From Prompt to Performance: Assessing Artificial Intelligence’s Role in Individualized Exam Preparation Among Undergraduate Engineering Students

Autori

  • Aruomachi Kingsley Olumati Department of Biomedical Engineering, Achievers University Owo, Ondo State, Nigeria Autore
  • Adeola Ebenezer Akinsuyi Department of Civil and Environmental Engineering, Achievers University Owo, Ondo State, Nigeria Autore
  • Benedict Olumhense Adoghe Department of Electrical and Information Technology Engineering, Achievers University Owo, Ondo State, Nigeria Autore

DOI:

https://doi.org/10.5281/zenodo.17805481

Parole chiave:

Artificial Intelligence, Engineering, Undergraduate, Education, Examination Preparation

Abstract

Students in a southwestern Nigerian university use artificial intelligence (AI) tools for individualized exam preparation. Adopting a descriptive cross-sectional design grounded in the UTAUT2 framework, data were collected from 117 students across six disciplines using a structured questionnaire. Findings revealed that 90.6% of respondents use AI for academic purposes, with 72.9% employing it regularly during exam preparation. Students perceived AI as effective in simplifying complex concepts (M=4.25) and boosting confidence (β=0.521, p<0.001), with 34.7% of confidence variance explained by AI use frequency. Biomedical and Computer Engineering students showed higher adoption and confidence levels than others. The study concludes that AI tools enhance individualized exam readiness but require ethical guidelines and context-specific integration for optimal benefits.

 

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Pubblicato

2025-12-03

Come citare

From Prompt to Performance: Assessing Artificial Intelligence’s Role in Individualized Exam Preparation Among Undergraduate Engineering Students. (2025). Journal of Education, Communication, and Digital Humanities , 2(2), 58-78. https://doi.org/10.5281/zenodo.17805481