人工智能在大学数学个性化教育中的探索  

On Exploration of Artificial Intelligence in Personalized Mathematics Education at Universities

作　　者：栗志华[1] 梅银珍[1] 王鹏[1] LI Zhihua;MEI Yinzhen;WANG Peng(School of Mathematics,North University of China,Taiyuan 030051,China)

机构地区：[1]中北大学数学学院,山西太原030051

出　　处：《乐山师范学院学报》2024年第8期45-54,共10页Journal of Leshan Normal University

基　　金：山西省教育科学规划课题“AI背景下高等数学基础课程个性化教学的实践研究”(SZH-230056)。

摘　　要：人工智能赋能下大学数学个性化教育可提供一个适应多样化需求的教学方式,有助于激发学生的学习兴趣和动力。人工智能在个性化教育中的应用场景主要包括智能辅导系统、学习路径推荐和学习者行为分析等。人工智能在大学数学个性化教育中发展的同时也面临数据隐私安全、多样性与公平性、算法可解释性及教师角色转变等挑战。未来人工智能在大学数学个性化教育中除了继续保持原有的优势,还有许多发展方向,在发展中需加强数据隐私保护措施,引入多样化评估体系,提高算法的可解释性,加强教师培训与合作,以更好地发挥人工智能在个性化教育中的作用。The personalized mathematics education at universities enabled by artificial intelligence can provide a teaching method that adapts to diverse needs,helping to stimulate students’learning interest and motivation.The application scenarios of artificial intelligence in personalized education mainly include intelligent tutoring system,learning path recommendation and learner behavior analysis.While developing in personalized mathematics education at universities,artificial intelligence also faces challenges such as data privacy security,diversity and equity,algorithm interpretability and the transformation of teachers’roles.In the future,in addition to maintaining its existing advantages,artificial intelligence in personalized mathematics education at universities has many development directions.It is necessary to strengthen data privacy protection measures,introduce diverse evaluation systems,enhance the interpretability of algorithms,and strengthen teacher training and cooperation to better leverage the role of artificial intelligence in personalized education.

关 键 词：人工智能 大学数学 个性化教育 智能辅导系统 学习路径推荐 学习者行为分析 

分 类 号：G642.0[文化科学—高等教育学]