Attitudes, perceptions and AI self-efficacy in K-12 education
Access to AI-driven chatbots is triggering schools to transform. Easy access and questions of cheating are balanced against potential upsides of individual support, time savings, and the risk of falling behind. Therefore, insights into teachers’ AI self-efficacy and attitudes towards the integration...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-06-01
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| Series: | Computers and Education: Artificial Intelligence |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666920X24001619 |
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| author | Nina Bergdahl Jeanette Sjöberg |
| author_facet | Nina Bergdahl Jeanette Sjöberg |
| author_sort | Nina Bergdahl |
| collection | DOAJ |
| description | Access to AI-driven chatbots is triggering schools to transform. Easy access and questions of cheating are balanced against potential upsides of individual support, time savings, and the risk of falling behind. Therefore, insights into teachers’ AI self-efficacy and attitudes towards the integration of AI-driven chatbots in education necessitate research. This study approaches teachers' readiness to use AI-driven chatbots. A survey and poll questions were administered, yielding 312 and 406 responses respectively, focusing on AI self-efficacy, attitudes, and perceived usefulness in education. Preliminary findings show that while teachers are generally positive about the potential of AI in education, their AI self-efficacy varies significantly based on prior use of the technology, perceived relevance, and the support available to them. The study highlights the need for internal support and targeted professional development interventions and offers practical insights for policymakers, educators, and curriculum developers to foster teacher readiness and competence in using AI-driven chatbots in their professional tasks, in and outside of class. |
| format | Article |
| id | doaj-art-db18b93556df49d4a2e1914e1c0ea231 |
| institution | Kabale University |
| issn | 2666-920X |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Computers and Education: Artificial Intelligence |
| spelling | doaj-art-db18b93556df49d4a2e1914e1c0ea2312025-01-09T06:14:51ZengElsevierComputers and Education: Artificial Intelligence2666-920X2025-06-018100358Attitudes, perceptions and AI self-efficacy in K-12 educationNina Bergdahl0Jeanette Sjöberg1Halmstad University, School of Education, Humanities and Social Sciences, Kristian IVväg 3, 302 50, Halmstad, Sweden; Department of Computer and Systems Sciences (DSV), Stockholm University, Borgarfjordsgatan 12, 164 55, Kista, Sweden; Corresponding author. Halmstad University, School of Education, Humanities and Social Sciences, Kristian IVväg 3, 302 50, Halmstad, Sweden.Halmstad University, School of Education, Humanities and Social Sciences, Kristian IVväg 3, 302 50, Halmstad, SwedenAccess to AI-driven chatbots is triggering schools to transform. Easy access and questions of cheating are balanced against potential upsides of individual support, time savings, and the risk of falling behind. Therefore, insights into teachers’ AI self-efficacy and attitudes towards the integration of AI-driven chatbots in education necessitate research. This study approaches teachers' readiness to use AI-driven chatbots. A survey and poll questions were administered, yielding 312 and 406 responses respectively, focusing on AI self-efficacy, attitudes, and perceived usefulness in education. Preliminary findings show that while teachers are generally positive about the potential of AI in education, their AI self-efficacy varies significantly based on prior use of the technology, perceived relevance, and the support available to them. The study highlights the need for internal support and targeted professional development interventions and offers practical insights for policymakers, educators, and curriculum developers to foster teacher readiness and competence in using AI-driven chatbots in their professional tasks, in and outside of class.http://www.sciencedirect.com/science/article/pii/S2666920X24001619ChatbotsK-12TeacherAI self-efficacyArtificial intelligence |
| spellingShingle | Nina Bergdahl Jeanette Sjöberg Attitudes, perceptions and AI self-efficacy in K-12 education Computers and Education: Artificial Intelligence Chatbots K-12 Teacher AI self-efficacy Artificial intelligence |
| title | Attitudes, perceptions and AI self-efficacy in K-12 education |
| title_full | Attitudes, perceptions and AI self-efficacy in K-12 education |
| title_fullStr | Attitudes, perceptions and AI self-efficacy in K-12 education |
| title_full_unstemmed | Attitudes, perceptions and AI self-efficacy in K-12 education |
| title_short | Attitudes, perceptions and AI self-efficacy in K-12 education |
| title_sort | attitudes perceptions and ai self efficacy in k 12 education |
| topic | Chatbots K-12 Teacher AI self-efficacy Artificial intelligence |
| url | http://www.sciencedirect.com/science/article/pii/S2666920X24001619 |
| work_keys_str_mv | AT ninabergdahl attitudesperceptionsandaiselfefficacyink12education AT jeanettesjoberg attitudesperceptionsandaiselfefficacyink12education |