Integrating Generative Artificial Intelligence into University Curricula: Student Insights

Authors

DOI:

https://doi.org/10.53761/jjzzd330

Keywords:

Higher education, generative artificial intelligence, student perceptions, business education, artificial intelligence literacy

Abstract

As generative artificial intelligence (GenAI) is increasingly adopted in professional settings, universities face growing pressure to prepare students for a GenAI-integrated future. This study explores undergraduate business students’ perceptions of GenAI and its role in academic learning and career readiness, drawing on qualitative responses from 166 students enrolled in a capstone unit. Thematic analysis revealed strong support for integrating GenAI knowledge and application into higher education curricula, with students identifying three priority areas for development: (1) understanding and optimising GenAI functionality; (2) exploring GenAI applications across contexts; (3) navigating ethical and legal dimensions of GenAI. These findings highlight the value of student involvement in co-designing future-ready curricula and contribute to broader conversations on digital capability and employability.

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Published

2026-04-10

Data Availability Statement

Data has not been made available. 

Issue

Section

Curriculum and Assessment Design

How to Cite

Integrating Generative Artificial Intelligence into University Curricula: Student Insights. (2026). Journal of University Teaching and Learning Practice. https://doi.org/10.53761/jjzzd330