Empowering K-12 Mathematics Teachers With Artificial Intelligence: A Systematic Review of Insights, Applications, and Challenges

The integration of artificial intelligence (AI) into education is rapidly transforming teaching practices across various subjects, including mathematics. However, research specifically focusing on K-12 mathematics teachers’ use of AI remains limited, and this study fills this gap. Therefo...

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Main Authors: Dantong Li, Sharifah Osman, Najua Syuhada Ahmad Alhassora, Jeya Amantha Kumar, Sharifah Kartini Said Husain
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/11071268/
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author Dantong Li
Sharifah Osman
Najua Syuhada Ahmad Alhassora
Jeya Amantha Kumar
Sharifah Kartini Said Husain
author_facet Dantong Li
Sharifah Osman
Najua Syuhada Ahmad Alhassora
Jeya Amantha Kumar
Sharifah Kartini Said Husain
author_sort Dantong Li
collection DOAJ
description The integration of artificial intelligence (AI) into education is rapidly transforming teaching practices across various subjects, including mathematics. However, research specifically focusing on K-12 mathematics teachers’ use of AI remains limited, and this study fills this gap. Therefore, this systematic review explores the current practices of AI integration among K-12 mathematics teachers, focusing on a range of factors, such as demographics, research methodologies, AI tools, models, mathematical content, and the challenges encountered in this process. Following PRISMA guidelines, 18 articles published between 2020 and 2024, focusing on the integration of AI in education by K-12 mathematics teachers, were analysed from WOS, Scopus, and arXiv. The value of this study lies in the following findings: The research focuses on pre-service teachers, especially from the United States and China, which is also the main development trend in the future. The selected studies often utilized quantitative, qualitative, and mixed-methods approach, applying models such as the Technology Acceptance Model (TAM) to measure acceptance and adopting frameworks such as TPACK to guide teachers in effectively integrating technology in their teaching. Prominent AI tools frequently integrated into educational settings include ChatGPT and Intelligent Tutoring Systems (ITSs). However, there are also limitations, such as ITSs research often focusing on hypothetical applications rather than direct implementation in the classroom. Furthermore, the review emphasizes the absence of specific mathematical content or tasks for K-12 teachers, especially in secondary schools where barriers were noted regarding teacher-specific, tool-specific, and systemic issues. This underscores the necessity for professional development, improved AI tools, and comprehensive systemic frameworks.
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spelling doaj-art-9ad1859010964b7bba9d8f89e8e341be2025-08-20T03:50:31ZengIEEEIEEE Access2169-35362025-01-011311719811720910.1109/ACCESS.2025.358578411071268Empowering K-12 Mathematics Teachers With Artificial Intelligence: A Systematic Review of Insights, Applications, and ChallengesDantong Li0https://orcid.org/0009-0008-5011-6059Sharifah Osman1https://orcid.org/0000-0003-2896-9377Najua Syuhada Ahmad Alhassora2https://orcid.org/0000-0001-6109-6040Jeya Amantha Kumar3Sharifah Kartini Said Husain4Faculty of Educational Sciences and Technology, Universiti Teknologi Malaysia, Johor Bahru, Johor, MalaysiaFaculty of Educational Sciences and Technology, Universiti Teknologi Malaysia, Johor Bahru, Johor, MalaysiaFaculty of Educational Sciences and Technology, Universiti Teknologi Malaysia, Johor Bahru, Johor, MalaysiaEvidence-Driven Learning Innovation (EDLI), Michigan State University, East Lansing, MI, USAFaculty of Science, Universiti Putra Malaysia, Serdang, Selangor, MalaysiaThe integration of artificial intelligence (AI) into education is rapidly transforming teaching practices across various subjects, including mathematics. However, research specifically focusing on K-12 mathematics teachers’ use of AI remains limited, and this study fills this gap. Therefore, this systematic review explores the current practices of AI integration among K-12 mathematics teachers, focusing on a range of factors, such as demographics, research methodologies, AI tools, models, mathematical content, and the challenges encountered in this process. Following PRISMA guidelines, 18 articles published between 2020 and 2024, focusing on the integration of AI in education by K-12 mathematics teachers, were analysed from WOS, Scopus, and arXiv. The value of this study lies in the following findings: The research focuses on pre-service teachers, especially from the United States and China, which is also the main development trend in the future. The selected studies often utilized quantitative, qualitative, and mixed-methods approach, applying models such as the Technology Acceptance Model (TAM) to measure acceptance and adopting frameworks such as TPACK to guide teachers in effectively integrating technology in their teaching. Prominent AI tools frequently integrated into educational settings include ChatGPT and Intelligent Tutoring Systems (ITSs). However, there are also limitations, such as ITSs research often focusing on hypothetical applications rather than direct implementation in the classroom. Furthermore, the review emphasizes the absence of specific mathematical content or tasks for K-12 teachers, especially in secondary schools where barriers were noted regarding teacher-specific, tool-specific, and systemic issues. This underscores the necessity for professional development, improved AI tools, and comprehensive systemic frameworks.https://ieeexplore.ieee.org/document/11071268/Artificial intelligence (AI)systematic reviewK-12 mathematics educationmathematics teachersteacher professional development
spellingShingle Dantong Li
Sharifah Osman
Najua Syuhada Ahmad Alhassora
Jeya Amantha Kumar
Sharifah Kartini Said Husain
Empowering K-12 Mathematics Teachers With Artificial Intelligence: A Systematic Review of Insights, Applications, and Challenges
IEEE Access
Artificial intelligence (AI)
systematic review
K-12 mathematics education
mathematics teachers
teacher professional development
title Empowering K-12 Mathematics Teachers With Artificial Intelligence: A Systematic Review of Insights, Applications, and Challenges
title_full Empowering K-12 Mathematics Teachers With Artificial Intelligence: A Systematic Review of Insights, Applications, and Challenges
title_fullStr Empowering K-12 Mathematics Teachers With Artificial Intelligence: A Systematic Review of Insights, Applications, and Challenges
title_full_unstemmed Empowering K-12 Mathematics Teachers With Artificial Intelligence: A Systematic Review of Insights, Applications, and Challenges
title_short Empowering K-12 Mathematics Teachers With Artificial Intelligence: A Systematic Review of Insights, Applications, and Challenges
title_sort empowering k 12 mathematics teachers with artificial intelligence a systematic review of insights applications and challenges
topic Artificial intelligence (AI)
systematic review
K-12 mathematics education
mathematics teachers
teacher professional development
url https://ieeexplore.ieee.org/document/11071268/
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