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ISSN 2063-5346
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Artificial Intelligence in Personalized Learning in Mathematics

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Johana Katerine Montoya Lunavictoria, Willian Geovanny Yanza Chávez, Juan Carlos Santillán Lima, Fernando Molina-Granja
» doi: 10.31838/ecb/2023.12.si6.606

Abstract

For several years now, Artificial Intelligence (AI) has revolutionized the education sector as it helps teachers create an effective mastery learning environment supported by personalized learning, which motivates students to reach their full potential in the classroom. By offering each student individualized tutoring, artificial intelligence helps close the learning gap described in Benjamin Bloom's Problem 2 Sigma. This study aims to understand how Classera can solve Bloom's 2 sigma problem in learning mathematics. To achieve the purpose of the study, mixed-approach research instruments are used between selected students and high school mathematics teachers. Data were obtained from surveys and interviews with study participants. The results of the data analysis indicate an improvement in students' academic performance. The findings will be used to provide recommendations for students to master each level and progress in their learning journey.

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