Research on Teaching Reform of AI Assisted Computer Ability Cultivation for Mathematics Majors

随着人工智能技术的快速发展,数学专业学生的计算机能力培养成为高等教育的重要课题。本文针对当前数学专业计算机教学中存在的课程内容脱节、实践环节薄弱、师资结构不合理及学生学习动力不足等问题,提出基于人工智能技术的教学改革策略。研究构建了包含课程设置、教学方法和实践教学三个方面的创新框架。在课程设置方面,增设了AI与数学交叉课程,优化了计算机基础课程,强化了编程语言教学和数据结构与算法课程体系。教学方法方面,通过智能驱动的学科交叉图谱构建、认知进阶的实例化教学引擎和个性化学习路径设计,实现了知识体系的深度融合和个性化教学。实践教学方面,提出了项目驱动的实践教学体系和组织数学建模竞赛与AI项目实践的措施,以提升学生的综合能力和实践技能。这些改革措施不仅有助于学生建立数学与AI的关联思维,还拓宽了他们的职业发展空间,为未来学术研究和职业发展奠定了坚实基础。With the rapid development of artificial intelligence technology, the computer ability training of mathematics majors has become an important issue in higher education. In view of the problems existing in the current computer teaching of mathematics major, such as the disconnection of course content, the weakness of practice, the unreasonable structure of teachers and the lack of students’ learning motivation, this paper puts forward the teaching reform strategy based on artificial intelligence technology. The research constructs an innovative framework including curriculum, teaching methods and practical teaching. In terms of curriculum setting, it added the cross course of AI and mathematics, optimized the basic computer course, and strengthened the teaching of programming language and the curriculum system of data structure and algorithm. In terms of teaching methods, the deep integration of knowledge system and personalized teaching are realized through intelligent driven cross disciplinary mapping construction, cognitive advanced instantiated teaching engine and personalized learning path design. In terms of practical teaching, the project driven practical teaching system and the measures of organizing mathematical modeling contest and AI project practice are proposed to improve students’ comprehensive ability and practical skills. These reform measures not only help students establish the thinking relationship between mathematics and AI, but also broaden their career development space and lay a solid foundation for future academic research and career development.

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Publication Details

Journal
Advances in Education
Published
2025-01-01
DOI
https://doi.org/10.12677/ae.2025.1571354
Primary Topic
Educational Technology and Pedagogy
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article
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article

Research on Teaching Reform of AI Assisted Computer Ability Cultivation for Mathematics Majors

林 翟
Advances in Education
Educational Technology and Pedagogy
article

Research on Teaching Reform of AI Assisted Computer Ability Cultivation for Mathematics Majors

林 翟
article en

Abstract

随着人工智能技术的快速发展,数学专业学生的计算机能力培养成为高等教育的重要课题。本文针对当前数学专业计算机教学中存在的课程内容脱节、实践环节薄弱、师资结构不合理及学生学习动力不足等问题,提出基于人工智能技术的教学改革策略。研究构建了包含课程设置、教学方法和实践教学三个方面的创新框架。在课程设置方面,增设了AI与数学交叉课程,优化了计算机基础课程,强化了编程语言教学和数据结构与算法课程体系。教学方法方面,通过智能驱动的学科交叉图谱构建、认知进阶的实例化教学引擎和个性化学习路径设计,实现了知识体系的深度融合和个性化教学。实践教学方面,提出了项目驱动的实践教学体系和组织数学建模竞赛与AI项目实践的措施,以提升学生的综合能力和实践技能。这些改革措施不仅有助于学生建立数学与AI的关联思维,还拓宽了他们的职业发展空间,为未来学术研究和职业发展奠定了坚实基础。With the rapid development of artificial intelligence technology, the computer ability training of mathematics majors has become an important issue in higher education. In view of the problems existing in the current computer teaching of mathematics major, such as the disconnection of course content, the weakness of practice, the unreasonable structure of teachers and the lack of students’ learning motivation, this paper puts forward the teaching reform strategy based on artificial intelligence technology. The research constructs an innovative framework including curriculum, teaching methods and practical teaching. In terms of curriculum setting, it added the cross course of AI and mathematics, optimized the basic computer course, and strengthened the teaching of programming language and the curriculum system of data structure and algorithm. In terms of teaching methods, the deep integration of knowledge system and personalized teaching are realized through intelligent driven cross disciplinary mapping construction, cognitive advanced instantiated teaching engine and personalized learning path design. In terms of practical teaching, the project driven practical teaching system and the measures of organizing mathematical modeling contest and AI project practice are proposed to improve students’ comprehensive ability and practical skills. These reform measures not only help students establish the thinking relationship between mathematics and AI, but also broaden their career development space and lay a solid foundation for future academic research and career development.

Advances in EducationVol. 15(07)
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Educational Technology and Pedagogy
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Research on Teaching Reform of AI Assisted Computer Ability Cultivation for Mathematics Majors — 林 翟 · Advances in Education (2025) | TGRS Research Map | TGRS