Which Students Benefit the Most from the Use of Artificial Intelligence in the Learning Process? Students with Low, Medium, or High Levels of Knowledge
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Abstract
The integration of Artificial Intelligence (AI) in the educational process has transformed the way students learn, interact, and develop their cognitive skills. This study aims to analyze which students benefit most from the use of Artificial Intelligence in the learning process: those with low, medium, or high levels of knowledge. The study is based on a comparative approach, assessing the impact of AI tools on improving academic performance, motivation, and engagement of students at different levels of preparation. Through a combination of quantitative and qualitative analysis, empirical data from different learning environments that use intelligent platforms such as digital tutors, learning personalization systems, and assistive devices have been reviewed. The results show that students with low and medium levels of knowledge benefit most from AI interventions, especially in terms of individualized support and improved self-efficacy in learning. However, high-achieving students benefit from developing more advanced critical thinking and problem-solving skills. These findings highlight the importance of using AI in a differentiated manner, tailored to the needs and potential of each group of students, thus contributing to the creation of a more inclusive and effective education.
