Understanding the Use Behaviour of Gen AI Among Full Time Students and Apprenticeship Trainees in Higher Education

As we reach the second anniversary since the announcement of ChatGPT to the world in Nov 2022, the education sector, especially in the institutes of higher learning (IHLs) has seen an exponential growth in the use of Generative AI (Gen AI). The use of Gen AI in IHLs is warranted as it commits to preparing students for the workforce and is obliged in duty to embrace Gen AI in its classrooms. But the use of Gen AI in classrooms are not without challenges. A survey conducted in the US states that 85 % of undergraduates feel more comfortable using GenAI tools if they were vetted by academic sources, and a further 65 % agreed that AI will improve their learning. However, there are many factors that led to the student's agreement in the use of AI, in particular Gen AI. Among others, the student's own (i) performance expectation, in that using Gen AI will help improve their academic performance; (ii) or their social influence, in that people close to them encourage their use of AI for their academic work, (iii) or their perceived anthropomorphism of the AI tool, in that they find that they have a ‘buddy’ that is close to them and that they can confide in their buddy for any queries they have of their course contents, or (iv) that the institution policy encourages their use of Gen AI in their school work. This study reports on the use behaviour of two groups of students - full time versus part time students. The findings suggests that the full-time students' Gen AI use is driven by social influence and perceived anthropomorphism, while apprenticeship students are more driven by institutional policy. Both groups of students are equally driven by the use of Gen AI to improve their academic outcome.

Authors

Institutions

Publication Details

Published
2025-04-18
DOI
https://doi.org/10.1109/iciet66371.2025.11046312
Primary Topic
Biomedical and Engineering Education
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Understanding the Use Behaviour of Gen AI Among Full Time Students and Apprenticeship Trainees in Higher Education

Claudia Lim, S. Tan, Jasmine Lai
Biomedical and Engineering Education
article

Understanding the Use Behaviour of Gen AI Among Full Time Students and Apprenticeship Trainees in Higher Education

Claudia Lim, S. Tan, Jasmine Lai
article en

Abstract

As we reach the second anniversary since the announcement of ChatGPT to the world in Nov 2022, the education sector, especially in the institutes of higher learning (IHLs) has seen an exponential growth in the use of Generative AI (Gen AI). The use of Gen AI in IHLs is warranted as it commits to preparing students for the workforce and is obliged in duty to embrace Gen AI in its classrooms. But the use of Gen AI in classrooms are not without challenges. A survey conducted in the US states that 85 % of undergraduates feel more comfortable using GenAI tools if they were vetted by academic sources, and a further 65 % agreed that AI will improve their learning. However, there are many factors that led to the student's agreement in the use of AI, in particular Gen AI. Among others, the student's own (i) performance expectation, in that using Gen AI will help improve their academic performance; (ii) or their social influence, in that people close to them encourage their use of AI for their academic work, (iii) or their perceived anthropomorphism of the AI tool, in that they find that they have a ‘buddy’ that is close to them and that they can confide in their buddy for any queries they have of their course contents, or (iv) that the institution policy encourages their use of Gen AI in their school work. This study reports on the use behaviour of two groups of students - full time versus part time students. The findings suggests that the full-time students' Gen AI use is driven by social influence and perceived anthropomorphism, while apprenticeship students are more driven by institutional policy. Both groups of students are equally driven by the use of Gen AI to improve their academic outcome.

Institute of Technical Education (SG)
Quality Education
Openalex Percentile: Top 86%
Biomedical and Engineering Education
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.