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Analysis of the repercussions of Artificial Intelligence in the Personalization of the Virtual Educational Process in Higher Education Programs

By
Elizabeth Magdalena Recalde Drouet ,
Elizabeth Magdalena Recalde Drouet

Universidad de las Fuerzas Armadas ESPE. Quito, Ecuador

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David Mauricio Tello Salazar ,
David Mauricio Tello Salazar

Universidad de las Fuerzas Armadas ESPE. Quito, Ecuador

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Tatiana Lizbeth Charro Domínguez ,
Tatiana Lizbeth Charro Domínguez

Universidad de las Fuerzas Armadas ESPE. Quito, Ecuador

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Pablo Jordán Catota Pinthsa ,
Pablo Jordán Catota Pinthsa

Universidad de las Fuerzas Armadas ESPE. Quito, Ecuador

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Abstract

This study examined how artificial intelligence (AI) has transformed the personalization of the virtual educational process in higher education programs. A systematic review of literature published between 2012 and 2023 was carried out, evaluating empirical studies, reports and review articles available in academic databases such as IEEE Xplore, SpringerLink and Google Scholar. Methods discussed include intelligent tutoring systems, learning analytics, and recommendation systems. The results showed that AI significantly improved the personalization of learning. Intelligent tutoring systems provide real-time adaptive feedback, adjusting content and pacing based on students' individual needs, improving their understanding and retention. Learning analytics helps identify student behavior patterns and predict academic issues, thereby facilitating timely interventions that help improve performance. Additionally, recommender systems personalize study materials based on student preferences and progress, thereby optimizing the educational experience. However, significant challenges have been identified, such as the need to protect data privacy and mitigate algorithmic biases that can affect the fairness and efficiency of these systems. In conclusion, the integration of AI into virtual higher education has enhanced the personalization of learning, improving both student satisfaction and academic performance. However, there is a need to continue to focus on developing ethical and equitable AI systems to address identified issues and maximize educational benefits

How to Cite

1.
Recalde Drouet EM, Tello Salazar DM, Charro Domínguez TL, Catota Pinthsa PJ. Analysis of the repercussions of Artificial Intelligence in the Personalization of the Virtual Educational Process in Higher Education Programs. Data and Metadata [Internet]. 2024 Jun. 27 [cited 2024 Jul. 15];3:386. Available from: https://dm.saludcyt.ar/index.php/dm/article/view/386

The article is distributed under the Creative Commons Attribution 4.0 License. Unless otherwise stated, associated published material is distributed under the same licence.

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