Utilization of Artificial Intelligence in the Educational Process: Evaluation of Its Effective Implementation

Artificial Intelligence (AI) is playing an increasingly significant role in the educational process, transforming teaching practices, assessment, and personalized learning. This study focuses on evaluating the utilization of AI in education, exploring its benefits, challenges, and implementation prospects. Through an analysis of existing tools, such as adaptive learning platforms, intelligent tutoring systems, and automated assessment, the study examines AI’s contribution to enhancing the learning experience. Additionally, challenges such as the need for technological infrastructure, the preservation of the pedagogical dimension, and ethical concerns arising from its use are analyzed. The research employs quantitative methods to assess the effectiveness of AI in education. Secondary education teachers participate by responding to a structured closed-ended questionnaire. The findings indicate that while AI can improve personalized learning and accessibility in education, its successful implementation requires the proper integration of technology without diminishing the role of the educator. The study concludes with proposals for a balanced and effective utilization of AI in education, considering both its potential and the challenges it entails.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-17
DOI
https://doi.org/10.5281/zenodo.15234804
Primary Topic
Intelligent Tutoring Systems and Adaptive Learning
Type
article
Field-Weighted Citation Impact
0.00
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article

Utilization of Artificial Intelligence in the Educational Process: Evaluation of Its Effective Implementation

Zenodo (CERN European Organization for Nuclear Research)
Intelligent Tutoring Systems and Adaptive Learning
article

Utilization of Artificial Intelligence in the Educational Process: Evaluation of Its Effective Implementation

article en

Abstract

Artificial Intelligence (AI) is playing an increasingly significant role in the educational process, transforming teaching practices, assessment, and personalized learning. This study focuses on evaluating the utilization of AI in education, exploring its benefits, challenges, and implementation prospects. Through an analysis of existing tools, such as adaptive learning platforms, intelligent tutoring systems, and automated assessment, the study examines AI’s contribution to enhancing the learning experience. Additionally, challenges such as the need for technological infrastructure, the preservation of the pedagogical dimension, and ethical concerns arising from its use are analyzed. The research employs quantitative methods to assess the effectiveness of AI in education. Secondary education teachers participate by responding to a structured closed-ended questionnaire. The findings indicate that while AI can improve personalized learning and accessibility in education, its successful implementation requires the proper integration of technology without diminishing the role of the educator. The study concludes with proposals for a balanced and effective utilization of AI in education, considering both its potential and the challenges it entails.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 77%
Intelligent Tutoring Systems and Adaptive Learning
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