Levering AI to enhance students' conceptual understanding and confidence in mathematics.
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...
| Publicado en: | Journal of Computer Assisted Learning Vol. 40; no. 6; pp. 3215 - 3230 |
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| Formato: | pictorial research tables/charts Journal Article |
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Wiley-Blackwell
Dec2024
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=180899695&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 180899695 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 02664909 6M1 jtl: Journal of Computer Assisted Learning issn: 02664909 maglogo: Y pubinfo: dt: Dec2024 vid: 40 iid: 6 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 180899695 179589159 180899695 180899695 10.1111/jcal.13065 180899695 ppf: 3215 ppct: 15 formats: tig: atl: Levering AI to enhance students' conceptual understanding and confidence in mathematics. aug: au: Canonigo, Allan Mesa affil: National Institute for Science and Mathematics Education Development, University of the Philippines Diliman, Quezon City, Philippines sug: subj: Artificial Intelligence, Generative Utilization Mathematics Education Teaching Methods Learning Environment Models, Theoretical Confidence Self-Efficacy Collaboration Faculty-Student Relations Teachers Psychosocial Factors Problem Solving Program Implementation Conceptual Framework Student Attitudes Outcomes of Education Human Male Female Natural Language Processing Multimethod Studies Pretest-Posttest Control Group Design Surveys Interviews Fear Interpersonal Relations Simulations Intelligent Systems Communication Diffusion of Innovation Socialization Group Dynamics Purposive Sample Semi-Structured Interview Thematic Analysis Summated Rating Scaling Nonparticipant Observation Reflection Feedback Descriptive Statistics Research Ethics T-Tests Time Management Male Female ab: 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. pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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