{"title":"The Effectiveness of AI on K-12 Students’ Mathematics Learning: A Systematic Review and Meta-Analysis","authors":"Linxuan Yi, Di Liu, Tiancheng Jiang, Yucheng Xian","doi":"10.1007/s10763-024-10499-7","DOIUrl":null,"url":null,"abstract":"<p>Artificial intelligence (AI) shows increasing potential to improve mathematics instruction, yet integrative quantitative evidence currently is lacking on its overall effectiveness and factors influencing success. This systematic review and meta-analysis investigate the effectiveness of AI on improving mathematics performance in K-12 classrooms compared to traditional classroom instruction. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, we searched five databases from 2000 through December 2023, synthesizing findings from 21 relevant studies (40 samples) which met screening criteria. Results indicate a small overall effect size of 0.343 favoring AI under a random-effects model, showing a generally positive impact. Only one variable, AI type, was identified as having moderate effects, with AI demonstrating a greater impact when served as an intelligent tutoring system and adaptive learning system. Our findings establish an initial knowledge base for implementation and future research on the effective integration of AI into K–12 mathematics classrooms. This study also focuses on the appropriateness across age, mathematical contents, and AI design factors is aimed at further advancing the judicious adoption and success of classroom AI integration.</p>","PeriodicalId":14267,"journal":{"name":"International Journal of Science and Mathematics Education","volume":"43 1","pages":""},"PeriodicalIF":1.9000,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Science and Mathematics Education","FirstCategoryId":"95","ListUrlMain":"https://doi.org/10.1007/s10763-024-10499-7","RegionNum":3,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"EDUCATION & EDUCATIONAL RESEARCH","Score":null,"Total":0}
引用次数: 0
Abstract
Artificial intelligence (AI) shows increasing potential to improve mathematics instruction, yet integrative quantitative evidence currently is lacking on its overall effectiveness and factors influencing success. This systematic review and meta-analysis investigate the effectiveness of AI on improving mathematics performance in K-12 classrooms compared to traditional classroom instruction. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, we searched five databases from 2000 through December 2023, synthesizing findings from 21 relevant studies (40 samples) which met screening criteria. Results indicate a small overall effect size of 0.343 favoring AI under a random-effects model, showing a generally positive impact. Only one variable, AI type, was identified as having moderate effects, with AI demonstrating a greater impact when served as an intelligent tutoring system and adaptive learning system. Our findings establish an initial knowledge base for implementation and future research on the effective integration of AI into K–12 mathematics classrooms. This study also focuses on the appropriateness across age, mathematical contents, and AI design factors is aimed at further advancing the judicious adoption and success of classroom AI integration.
期刊介绍:
The objective of this journal is to publish original, fully peer-reviewed articles on a variety of topics and research methods in both science and mathematics education. The journal welcomes articles that address common issues in mathematics and science education and cross-curricular dimensions more widely. Specific attention will be paid to manuscripts written by authors whose native language is not English and the editors have made arrangements for support in re-writing where appropriate. Contemporary educators highlight the importance of viewing knowledge as context-oriented and not limited to one domain. This concurs with current curriculum reforms worldwide for interdisciplinary and integrated curricula. Modern educational practice also focuses on the use of new technology in assisting instruction which may be easily implemented into such an integrated curriculum. The journal welcomes studies that explore science and mathematics education from different cultural perspectives.