Evaluation of the Impact of Artificial Intelligence on Academic Performance: A Longitudinal Statistical Approach
DOI:
https://doi.org/10.63969/ba7ab014Keywords:
artificial intelligence, academic performance, educational analytics, adaptive learning, digital education, intelligent technologiesAbstract
The incorporation of artificial intelligence into educational systems has generated significant transformations in teaching and learning processes, particularly through the development of adaptive platforms, automated systems, and educational analytics tools aimed at strengthening academic performance. The objective of this study was to analyze the impact of artificial intelligence on academic performance through a narrative review of scientific literature related to adaptive learning, educational analytics, and intelligent technologies applied to digital educational contexts. The research was conducted under a qualitative-documentary approach through the analysis of scientific publications indexed between 2019 and 2026 in databases such as Scopus, Web of Science, ERIC, and Google Scholar. The findings revealed that artificial intelligence significantly promotes personalized learning, continuous academic monitoring, and the optimization of pedagogical processes through predictive models and intelligent educational support systems. Likewise, the reviewed literature indicates improvements in student motivation, academic participation, and knowledge retention when adaptive platforms are properly implemented in virtual learning environments. However, challenges related to the digital divide, technological infrastructure, data privacy, educational ethics, and teacher training for the pedagogical integration of these technologies were also identified. Finally, it is concluded that artificial intelligence has strong potential to strengthen contemporary education, although its effectiveness depends on critical, inclusive, and ethically responsible approaches aimed at ensuring appropriate pedagogical implementation within current educational systems.
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Copyright (c) 2026 Edson Francisco Quiñonez Guagua, Erick Daniel Rivera Quiñonez, Blanca Romina Barcia Rivera, Byron Orlando Alvarez Klinger (Autor/a)
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