人工智能在数学教育中的系统回顾:4IR 的出现

Q1 Mathematics
O. Opesemowo, H. Adewuyi
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引用次数: 0

摘要

人工智能(AI)与数学教育的融合,重点关注其在第四次工业革命(4IR)时代的影响。本综述通过全面分析斯科普斯(Scopus)和谷歌学术(Google Scholar)从 2015 年到 2023 年的 10 项相关研究,确定了数学教育中使用的研究方法、研究工具、参与者和人工智能工具。其中一些关键观点包括使用人工智能驱动的个性化学习和增强型数学教学、实时评估和反馈、课程开发以及增强教育工作者的能力,这些观点都得到了强调。该研究符合系统综述和荟萃分析的首选报告项目。根据分析结果,大多数综述研究都采用了定性研究方法。研究表明,调查问卷主要用于收集学生和教师的数据,而学生和教师是被综述论文中最重要的参与者。进一步的结果显示,在本综述所确定的其他人工智能工具中,ChatGPT 是数学教育中使用的主要人工智能工具。此外,本综述还讨论了人工智能在解决教育差距和帮助学习者为满足 4IR 要求做好准备方面的变革潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A systematic review of artificial intelligence in mathematics education: The emergence of 4IR
The integration of artificial intelligence (AI) in mathematics education, focusing on its implications in the 4th Industrial Revolution (4IR) era. Through a comprehensive analysis of 10 relevant studies in Scopus and Google Scholar from 2015 to 2023, this review identifies the research methods, research instruments, participants, and AI tools used in mathematics education. Some key ideas include using AI-driven personalized learning and enhanced mathematics instruction, real-time assessment and feedback, curriculum development, and empowering educators, which were highlighted. The study aligns with the preferred reporting items for systematic reviews and meta-analysis. Based on the analysis, most studies reviewed utilized qualitative research methods. The study indicates that questionnaires were mainly used to gather data from students and teachers who were the most significant participants in the reviewed papers. Further results revealed that ChatGPT were the primary AI tool used in mathematics education, among other AI tools, as identified in this review. Additionally, this review discusses the transformative potential of AI in addressing educational disparities and preparing learners for the demands of 4IR.
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来源期刊
CiteScore
4.30
自引率
0.00%
发文量
128
期刊介绍: EURASIA Journal of Mathematics, Science and Technology Education is peer-reviewed and published 12 times in a year. The Journal is an Open Access Journal. The Journal strictly adheres to the principles of the peer review process. The EJMSTE Journal publishes original articles in the following areas: -Mathematics Education: Algebra Education, Geometry Education, Math Education, Statistics Education. -Science Education: Astronomy Education, Biology Education, Chemistry Education, Geographical and Environmental Education, Geoscience Education, Physics Education, Sustainability Education. -Engineering Education -STEM Education -Technology Education: Human Computer Interactions, Knowledge Management, Learning Management Systems, Distance Education, E-Learning, Blended Learning, ICT/Moodle in Education, Web 2.0 Tools for Education
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