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dc.contributor.author Castro Inostroza, Angela Nolfa
dc.contributor.author Brayan Díaz
dc.contributor.author Aguilera Carrasco, Cristhian Alejandro
dc.contributor.author Prat, Montserrat
dc.contributor.author Chávez, David
dc.date.accessioned 2026-02-08T03:28:22Z
dc.date.available 2026-02-08T03:28:22Z
dc.date.issued 2025-03-20
dc.identifier.issn 2071-1050
dc.identifier.uri https://repositorio.uss.cl/handle/uss/20434
dc.description Publisher Copyright: © 2025 by the authors.
dc.description.abstract This research investigates the challenges and opportunities rural elementary teachers perceive in using AI as a pedagogical tool to support student learning in rural schools. Using a convergent parallel mixed methods approach, we analyzed the responses from 45 rural teachers who participated in professional development on AI integration in rural education. Through both closed-ended and open-ended survey responses, we employed an adaptation of the TPACK framework (I-TPACK) and the AI literacy framework proposed by UNESCO to identify the primary challenges and opportunities in utilizing AI for pedagogical purposes in rural education. The results highlight resource accessibility and teacher professional development as critical challenges and opportunities to reduce the digital divide in rural communities. Teachers see the inclusion of AI as an opportunity to personalize learning, reduce workload, and facilitate teaching in multigrade classrooms without perceiving it as a job threat. At the same time, they emphasize the need for technological and didactic resources aligned with the specific characteristics of their contexts, such as offline resources and adaptable AI curricula to address the prevalent issue of limited or absent internet connectivity in many rural schools. en
dc.description.abstract javascript:void(0); es
dc.language.iso eng
dc.relation.ispartof vol. 17 Issue: no. 6 Pages: 2748
dc.source Sustainability (Switzerland)
dc.title Identifying Rural Elementary Teachers’ Perception Challenges and Opportunities in Integrating Artificial Intelligence in Teaching Practices en
dc.type Artículo
dc.identifier.doi 10.3390/su17062748
dc.publisher.department Facultad de Educación
dc.publisher.department Facultad de Ingeniería


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