Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/30646
Title: Unveiling AI Perceptions: How Student Attitudes Towards AI Shape AI Awareness, Usage, and Conceptions
Authors: Otermans, PCJ
Roberts, C
Baines, S
Keywords: artificial intelligence;higher education;AI attitudes;AI conceptions;AI competence
Issue Date: 9-Jan-2025
Publisher: ISTES Organization
Citation: Otermans, P.C.J., Roberts, C. and Baines, S. (2025) 'Unveiling AI Perceptions: How Student Attitudes Towards AI Shape AI Awareness, Usage, and Conceptions', International Journal of Technology in Education, 8 (1), pp. 88 - 103. doi: 10.46328/ijte.995.
Abstract: This study examines the relationship between students’ attitudes toward artificial intelligence (AI) and both AI competence and conceptions. 176 UK university students completed a survey where they were asked to rate statements in relation to their attitudes towards AI, their AI competence and their conceptions about AI using 5-point Likert-type scales. In relation to AI competence, results indicate that affective attitudes predicted awareness and usage, leading to information avoidance and disengagement. Cognitive attitudes positively predicted AI awareness and usage. Behavioural attitudes, however, did not predict awareness or usage, suggesting that individuals may engage with AI technology without deeper understanding. For AI conceptions, behavioural attitudes were more closely linked to conceptions of AI in educational contexts. Positive behavioural attitudes predicted students’ conceptions of AI’s role in intelligent tutoring systems, retentions, drop-out reduction, recommendation systems, and personalised learning. In contrast, affective attitudes predicted conceptions of AI’s use in classroom monitoring and performance prediction, while cognitive attitudes had little influence. These are areas educators can focus on when designing teaching & assessment strategies in relation to AI.
Description: Acknowledgements: We would like to thank Ms D. Bejenaru-Burlacu, Ms P. Uppal and Ms M. Kaur for their support with data collection.
URI: https://bura.brunel.ac.uk/handle/2438/30646
DOI: https://doi.org/10.46328/ijte.995
Other Identifiers: ORCiD: Pauldy C.J. Otermans https://orcid.org/0000-0001-8495-348X
ORCiD: Charlotte Roberts https://orcid.org/0009-0008-7476-3381
ORCiD: Stephanie Baines https://orcid.org/0000-0001-7293-9517
Appears in Collections:Dept of Life Sciences Research Papers

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