Application of AI in Basic Education to strengthen learning and school motivation
DOI:
https://doi.org/10.64747/dbkg2w76Keywords:
educational AI, school motivation, initial education, adaptive technologies, personalized learningAbstract
This study analyzes the impact of artificial intelligence (AI) on learning and school motivation among early childhood education students in public urban institutions in Guayaquil, Ecuador. A quantitative, descriptive-correlational methodology was applied, using secondary data from school records and a structured questionnaire for teachers. The results show that frequent use of AI tools such as adaptive platforms, virtual assistants, and intelligent educational games is associated with higher school attendance, progress in basic competencies, and high levels of teacher-perceived motivation. The correlations between AI use and these variables were statistically significant. It is concluded that integrating AI into the classroom, even in settings with limited infrastructure, can strengthen the teaching-learning process and enhance student motivation. The study highlights the importance of considering local context, teacher training, and technological adaptability to ensure positive outcomes.
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Copyright (c) 2025 Patricia Jacqueline Baldeón Medina, Teófilo Bolívar González Yagual, Carla Daniela Izquierdo Corozo, Karlha Mariana Villalba Vélez (Autor/a)
This work is licensed under a Creative Commons Attribution 4.0 International License.
