Evaluating the Impact of Generative AI in Mathematics Education: A Comparative Study in Vietnamese High Schools

Abstract

The contemporary educational landscape is undergoing a paradigm shift from traditional, teacher-centered methods to more student-focused approaches. This paper examines the limitations of the traditional model, highlighting its inability to cater to diverse learning styles and foster critical thinking. A significant percentage of students report disengagement and a lack of accommodation for their learning needs, underlining the necessity for a more adaptive, personalized educational framework. In response, this study explores the integration of artificial intelligence (AI) in education, particularly focusing on developing countries like Vietnam. AI-based solutions, including personalized learning experiences, scalability, and resource optimization, are posited as viable answers to the challenges faced by traditional educational systems. This paper delves into three main research questions: the influence of student background on the effectiveness of generative AI (GenAI) tools, the contribution of GenAI in enhancing mathematical understanding, and a comparative analysis of student outcomes in AI-supported individual study versus traditional teaching methods. By investigating these aspects, the study is aimed at uncovering the potential of AI in revolutionizing educational practices and outcomes, especially in resource-limited settings.