Exploring Student Perception on Gen AI Adoption in Higher Education: A Descriptive Study
Harpreet Singh, Jaspreet Singh, Satwant Singh, Rupinder Singh, Shamim Ibne Shahid, Mohammad Hassan, Tayarani Najaran

TL;DR
This study explores postgraduate students' perceptions and usage of GenAI in higher education, highlighting their familiarity, concerns, and support for AI literacy integration.
Contribution
It provides empirical insights into student attitudes towards GenAI, emphasizing the need for pedagogical frameworks that promote AI literacy and ethical use.
Findings
Over 60% of students are familiar with ChatGPT but use it infrequently.
Students mainly use GenAI for concept clarification and brainstorming.
Concerns include data privacy, reliability, and critical thinking erosion.
Abstract
The rapid proliferation of Generative Artificial Intelligence (GenAI) is reshaping pedagogical practices and assessment models in higher education. While institutional and educator perspectives on GenAI integration are increasingly documented, the student perspective remains comparatively underexplored. This study examines how students perceive, use, and evaluate GenAI within their academic practices, focusing on usage patterns, perceived benefits, and expectations for institutional support. Data were collected through a questionnaire administered to 436 postgraduate Computer Science students at the University of Hertfordshire and analysed using descriptive methods. The findings reveal a Confidence-Competence Paradox: although more than 60% of students report high familiarity with tools such as ChatGPT, daily academic use remains limited and confidence in effective application is only…
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