AI-assisted Learning in HCI Education

The use of generative artificial intelligence (GenAI) tools has increased across all sectors in society, including human-computer interaction (HCI) education. While previous research has explored the pedagogical applications of GenAI and the challenges faced by educators and students, there is less focus on GenAI in the context of a design education. We present findings from group interviews and a survey study conducted with interaction design bachelor students, foregrounding the attitudes and perspectives of students who are motivated to learn. We show that although students are generally aware of ethical issues surrounding GenAI, they make considered decisions on how they use it to support their learning. An insight is how the students’ pride in their own learning and accomplishment guides their use more than moralistic and disciplinary rhetoric widespread in the higher education sector. The paper concludes with thought-provoking questions to guide future steps. The insights presented may inform curriculum development and suggest future research directions on the role of AI-assisted learning in HCI education.

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Publication Details

Published
2025-07-14
DOI
https://doi.org/10.1145/3742901.3742910
Primary Topic
Online Learning and Analytics
Type
article
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article

AI-assisted Learning in HCI Education

Elisabet M. Nilsson, Clint Heyer, Jens Pedersen
Online Learning and Analytics
article

AI-assisted Learning in HCI Education

Elisabet M. Nilsson, Clint Heyer, Jens Pedersen
article en

Abstract

The use of generative artificial intelligence (GenAI) tools has increased across all sectors in society, including human-computer interaction (HCI) education. While previous research has explored the pedagogical applications of GenAI and the challenges faced by educators and students, there is less focus on GenAI in the context of a design education. We present findings from group interviews and a survey study conducted with interaction design bachelor students, foregrounding the attitudes and perspectives of students who are motivated to learn. We show that although students are generally aware of ethical issues surrounding GenAI, they make considered decisions on how they use it to support their learning. An insight is how the students’ pride in their own learning and accomplishment guides their use more than moralistic and disciplinary rhetoric widespread in the higher education sector. The paper concludes with thought-provoking questions to guide future steps. The insights presented may inform curriculum development and suggest future research directions on the role of AI-assisted learning in HCI education.

Malmö University (SE)
Openalex Percentile: Top 82%
Online Learning and Analytics
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