Conceptions of AI among K-12 Students in Azerbaijan: A Topic Modeling Approach

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dc.contributor.authorSaarela, Mirka
dc.contributor.authorKarimov, Ayaz
dc.contributor.authorHeilala, Ville
dc.contributor.authorSikström, Pieta
dc.date.accessioned2024-12-26T21:08:29Z
dc.date.available2024-12-26T21:08:29Z
dc.date.issued2025-01-07
dc.description.abstractThis study explores the perceptions of artificial intelligence (AI) among Azerbaijani students by analyzing data collected from 73 participants. Using automatic topic modeling with the recent multilingual sentence transformer to generate word embeddings, along with manual semantic analysis, we identified 12 unique topics that reflect diverse aspects of students' understanding of AI. Key findings include students' recognition of AI's role in facilitating tasks, its applications in daily life, and its autonomous capabilities. However, there are significant knowledge gaps and misconceptions, with some students expressing concerns about AI's potential negative impacts. The analysis highlights the need for explainable AI (XAI) in K-12 education to address these misconceptions and provide a clearer understanding of AI technologies. These insights are crucial for designing educational interventions that prepare students for a future increasingly influenced by AI.
dc.format.extent10
dc.identifier.doi10.24251/HICSS.2025.570
dc.identifier.isbn978-0-9981331-8-8
dc.identifier.other4f14b7fd-f4df-4fa1-aaa2-a9d79d63f140
dc.identifier.urihttps://hdl.handle.net/10125/109417
dc.relation.ispartofProceedings of the 58th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectComputing Education
dc.subjectai literacy, computing education, conceptions, k-12, topic modeling
dc.titleConceptions of AI among K-12 Students in Azerbaijan: A Topic Modeling Approach
dc.typeConference Paper
dc.type.dcmiText
prism.startingpage4734

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