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Revista Scientific

On-line version ISSN 2542-2987

Abstract

ANAPA TAPUYO, Wendy Jesenia; PUCUNA SAPA, Luis Raúl; VILLALVA HEREDIA, Carlos Iván  and  SILVA ADRIANO, Luis Enrique. Emerging Technologies in Education: Personalized and Automated Learning. Rev. Sci. [online]. 2025, vol.10, n.35, pp.297-320.  Epub Oct 02, 2025. ISSN 2542-2987.  https://doi.org/10.29394/scientific.issn.2542-2987.2025.10.35.14.297-320.

Emerging technologies such as artificial intelligence, virtual reality, and automated learning transform educational processes by offering unique opportunities to personalize education according to individual student needs. The objective was to analyze the impact of the teaching-learning process affected by the low level of application of emerging technologies in the technical industrial high school of the Jaime Roldós Aguilera Educational Unit. A mixed methodology (qualitative-quantitative) with an inductive-deductive approach was employed, applying validated surveys to 46 students and semi-structured interviews to 8 teachers and administrators. The results evidenced a strong positive correlation between the use of emerging technologies and their educational impact, with a Pearson coefficient of 0,824, indicating that 68% of the variance in academic results is explained by technological implementation. The implementation of the Moodle platform through five strategic phases and teacher training was proposed. The research concludes that the systematic integration of emerging technologies significantly improves learning personalization and generates measurable pedagogical transformations when accompanied by adequate teacher training and sustained institutional support.

Keywords : emerging technologies; artificial intelligence in education; personalized learning; educational automation; pedagogical innovation.

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