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This paper aims to review the efficiency of Artificial Intelligence educational counseling systems regarding teaching practices and the role of these technologies in changing educational interactions and personalization. AI has improved the efficiency of several domains of education in terms of how learning and teaching interact with students. To comprehensively evaluate the contribution of AI systems in the future, the study employs quantitative and qualitative research approaches. This strategy helps to make a considerable evaluation of AI's influence on teaching practices by not only the number of changes but also by the secondary qualitative data of witnesses. According to the presented research, introducing and using AI in education has numerous benefits, including delivering individualized feedback and handling educational resources more efficiently than traditional approaches. Nevertheless, it also outlines significant risks, such as ethical concerns regarding data protection, data bias, and learning technologies not adequately preparing educators to utilize these tools.
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Alenezi et al. (2025) studied this question.
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