
Computers and Education Artificial Intelligence, Год журнала: 2024, Номер unknown, С. 100334 - 100334
Опубликована: Ноя. 1, 2024
Язык: Английский
Computers and Education Artificial Intelligence, Год журнала: 2024, Номер unknown, С. 100334 - 100334
Опубликована: Ноя. 1, 2024
Язык: Английский
Social Sciences & Humanities Open, Год журнала: 2025, Номер 11, С. 101338 - 101338
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
0Frontiers in Education, Год журнала: 2025, Номер 10
Опубликована: Фев. 20, 2025
Background While the transformative potential of artificial intelligence (AI) in education is widely recognized, rapid evolution these technologies necessitates a corresponding teacher education. This research sought to investigate impact targeted training program on pre-service physics teachers’ AI literacy levels and their subsequent attitudes intentions toward adoption future teaching. Methods A pre-post-test control group quasi-experimental study was implemented among students. 5 weeks long out-of-curriculum intervention designed that combined theoretical grounding with practical, problem-based learning activities, focus use various tools. Results There significant upswing performance post-intervention, showcasing effective facilitating participants’ understanding application educational contexts. Additionally, perceived usefulness found be partial mediator link between scores behavioral intention embed generative solutions into Conclusion The concludes incorporating comprehensive programs curricula essential for fostering technologically adept pedagogically innovatively minded teaching workforce. Further needed explore long-term effects practice student outcomes.
Язык: Английский
Процитировано
0Journal for STEM Education Research, Год журнала: 2024, Номер unknown
Опубликована: Сен. 23, 2024
Язык: Английский
Процитировано
3International Journal of STEM Education, Год журнала: 2024, Номер 11(1)
Опубликована: Ноя. 2, 2024
Abstract Background Integration of digital tools and resources in STEM instruction has garnered significant attention due to its high potential. Digital professional development is identified as a pivotal factor for equipping teachers with necessary skills effectively orchestrate resources. Notably, the role learning communities considered critical. However, intricate relationships among development, communities, instructional integration remain underexplored. Utilizing partial least-squares–structural equation models (PLS–SEM), present study examined links ( N = 16,072) who participated Programme International Student Assessment (PISA) 2022. Results Findings from PLS–SEM analysis indicate that exhibits direct positive relationship integration. Relatedly, positively correlated In terms indirect effect, findings show play mediating linking Conclusions This reports new evidence on influence through 16,072 concludes that, when regularly immerse themselves they are more likely benefit their by integrating technologies classroom instruction. Policymakers educational leaders should consider promoting teachers, along efforts encourage
Язык: Английский
Процитировано
1Computers and Education Artificial Intelligence, Год журнала: 2024, Номер unknown, С. 100334 - 100334
Опубликована: Ноя. 1, 2024
Язык: Английский
Процитировано
0