Artificial Intelligence and rural education: a qualitative analysis of secondary school teachers’ experiences and expectations
DOI:
https://doi.org/10.53485/rsu.v9i2.739Keywords:
artificial intelligence, rural education, secondary education, qualitative research, teaching practiceAbstract
This article analyzes the experiences and expectations of secondary education teachers in a rural district of the Dominican Republic, regarding the integration of Artificial Intelligence (AI). Using a qualitative approach and a phenomenological design, semi-structured interviews were conducted with five key informants to explore their knowledge, practices, and the barriers they encounter. The results reveal that, although there is an incipient professional knowledge that positions AI as an assistant for planning and assessment, its use is unsystematic and characterized by "pedagogical vigilance" due to distrust in the accuracy of generated content. Multidimensional barriers were identified, highlighting precarious infrastructure (lack of electricity and equipment) and attitudinal factors such as the fear of professional displacement. The study concludes that digital literacy in rural contexts must move beyond an instrumental approach to focus on continuous, collaborative, and deeply human training. Teachers demand support that respects rural rhythms and anchors technology to the national curriculum, allowing AI to be perceived as an ally for the dignity of their work rather than an additional factor of exclusion.
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