Resumen

CAMONES GONZALES, Fernando Cesar; SIHUAY FERNANDEZ, Martin Toribio; NOLBERTO SIFUENTES, Violeta Alicia  y  PADILLA CABALLERO, Jesús Emilio Agustín. Data mining: A perspective approach from the educational context. Tribunal [online]. 2024, vol.4, n.9, pp.138-160.  Epub 25-Oct-2024. ISSN 2959-6513.  https://doi.org/10.59659/revistatribunal.v4i9.70.

This study aims to understand the process of integrating data mining into curricula from an Educational Perspective in Lima, Peru. Specifically, it addresses the methodologies applied to optimize educational interventions, evaluating their effectiveness, integration with pedagogical processes, and addressing the digital divide to enhance effectiveness and efficiency in teaching and learning. The applied methodology was qualitative, non-experimental, exploratory, and descriptive to explain the study problem. The proposed result contributes to research in the context of the development of educational data mining. The main conclusion highlights the need to incorporate data mining into the educational field, with the purpose of clarifying the path for teachers responsible for managing training processes, in favor of virtual or online education to revalue education and support the educational process for the benefit of the student.

Palabras clave : Learning analytics; personalized learning; knowledge discovery in databases; data mining; educational data mining.

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