Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/30646
Full metadata record
DC FieldValueLanguage
dc.contributor.authorOtermans, PCJ-
dc.contributor.authorRoberts, C-
dc.contributor.authorBaines, S-
dc.date.accessioned2025-02-03T11:03:09Z-
dc.date.available2025-02-03T11:03:09Z-
dc.date.issued2025-01-09-
dc.identifierORCiD: Pauldy C.J. Otermans https://orcid.org/0000-0001-8495-348X-
dc.identifierORCiD: Charlotte Roberts https://orcid.org/0009-0008-7476-3381-
dc.identifierORCiD: Stephanie Baines https://orcid.org/0000-0001-7293-9517-
dc.identifier.citationOtermans, 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.en_US
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/30646-
dc.descriptionAcknowledgements: We would like to thank Ms D. Bejenaru-Burlacu, Ms P. Uppal and Ms M. Kaur for their support with data collection.en_US
dc.description.abstractThis 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.en_US
dc.format.extent88 - 103-
dc.format.mediumElectronic-
dc.language.isoen_USen_US
dc.publisherISTES Organizationen_US
dc.rightsAttribution-NonCommercial-ShareAlike 4.0 International-
dc.rights.urihttps://creativecommons.org/licenses/by-nc-sa/4.0/-
dc.subjectartificial intelligenceen_US
dc.subjecthigher educationen_US
dc.subjectAI attitudesen_US
dc.subjectAI conceptionsen_US
dc.subjectAI competenceen_US
dc.titleUnveiling AI Perceptions: How Student Attitudes Towards AI Shape AI Awareness, Usage, and Conceptionsen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.46328/ijte.995-
dc.relation.isPartOfInternational Journal of Technology in Education-
pubs.issue1-
pubs.publication-statusPublished online-
pubs.volume8-
dc.identifier.eissn2689-2758-
dc.rights.licensehttps://creativecommons.org/licenses/by-nc-sa/4.0/legalcode.en-
dcterms.dateAccepted2024-12-26-
dc.rights.holderThe Author(s)-
Appears in Collections:Dept of Life Sciences Research Papers

Files in This Item:
File Description SizeFormat 
FullText.pdfCopyright © 2024 The Author(s). This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (https://creativecommons.org/licenses/by-nc-sa/4.0/).324.17 kBAdobe PDFView/Open


This item is licensed under a Creative Commons License Creative Commons