Levering AI to enhance students' conceptual understanding and confidence in mathematics.

Autor:	Canonigo, Allan Mesa
Předmět:	GENERATIVE artificial intelligence SCHOOL environment FEAR SCALE analysis (Psychology) MATHEMATICS SELF-efficacy INTERPROFESSIONAL relations PSYCHOLOGY of teachers HUMAN services programs DIFFUSION of innovations T-test (Statistics) EDUCATIONAL outcomes INTERVIEWING SCIENTIFIC observation UNOBTRUSIVE measures TEACHING methods CONFIDENCE PROBLEM solving NATURAL language processing GROUP dynamics JUDGMENT sampling REFLECTION (Philosophy) DESCRIPTIVE statistics CONTROL groups PRE-tests & post-tests SURVEYS SIMULATION methods in education THEMATIC analysis MATHEMATICAL models CONCEPTUAL structures RESEARCH methodology COMMUNICATION TIME management THEORY TEACHER-student relationships STUDENT attitudes INTERPERSONAL relations SOCIALIZATION RESEARCH ethics
Zdroj:	Journal of Computer Assisted Learning; Dec2024, Vol. 40 Issue 6, p3215-3229, 15p
Abstrakt:	Motivation: This research investigates the transformative impact of integrating AI into mathematics education, aiming to enhance students' conceptual understanding and self‐efficacy. It addresses the crucial need for innovative teaching methods in response to contemporary challenges in education and aims to fill gaps in understanding the potential drawbacks and benefits of AI implementation. Objectives: The primary goal of this study is to investigate the effects of AI tools, such as GeoGebra and ChatGPT, on students' conceptual understanding and self‐efficacy in a mathematics classroom setting, with a focus on collaborative learning, teacher‐led discussions, and problem‐solving. Methods: Employing a mixed‐methods approach, the research involves pre‐ and post‐implementation surveys, supplemented by qualitative data from interviews, focus groups, and classroom observations. The study emphasises the utilisation of AI in collaborative learning environments and explores the challenges and opportunities associated with its integration. Results and Conclusions: The study reveals a noteworthy enhancement in students' conceptual understanding and self‐efficacy belief when AI tools are incorporated into mathematics education. However, it highlights concerns such as technological challenges, potential teacher replacement fears, biases in AI systems, and difficulties related to pacing and social interaction. To optimise the use of AI, the paper suggests strategies like adaptive learning platforms, real‐world simulations, intelligent tutoring systems, and data‐driven instruction, positioning AI as a complement rather than a substitute for traditional teaching methods. The study recommends addressing challenges through additional support resources and transparent communication, emphasising the need for a thoughtful integration of AI in education. Lay Description: What is currently known about the subject matter?: AI is increasingly being integrated into educational settings.AI offers potential for personalised learning experiences.Concerns exist regarding AI replacing human educators and ethical issues such as data privacy and bias.Effectiveness of AI in improving student performance varies depending on the implementation and context. What this paper adds?: Provides empirical evidence on how GeoGebra and ChatGPT enhance students' conceptual understanding and confidence in mathematics.Identifies specific challenges and concerns from students and teachers regarding AI use.Demonstrates how integrating GeoGebra and ChatGPT boosts student engagement and motivation, leading to improved understanding of mathematical concepts.Offers insights into student engagement levels and interaction patterns with AI tools. Implications of the findings for practitioners: Emphasise the need for careful selection and validation of AI to ensure they meet educational objectives.Address ethical concerns and ensure data privacy when implementing AI in education.Encourage ongoing evaluation and refinement of practices related to the use of AI, ensuring that they meet ethical standards and address data privacy concerns.Advocate for the establishment of acceptable criteria and conventions for AI use in education, improving their effectiveness and usability based on student and educator feedback. [ABSTRACT FROM AUTHOR]
Databáze:	Complementary Index
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