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基于TOPSIS法对人工智能学习软件影响不同专业类别大学生学习的评价——以2023“电工杯”数学建模大赛B题为例
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Abstract:
人工智能已经成为近年来最具影响力的方面之一,涉及金融、医疗、交通等各个领域,在教育教学方面也起着很重要的作用。本研究以2023年“电工杯”数学建模大赛B题附件问卷调查中的4606名大学生为例,筛选出能够反映人工智能学习软件对不同专业大学生学习影响的相关指数,采用TOPSIS法对人工智能学习软件对不同专业大学生学习的影响进行评价。学习相关指数从高到低依次为理工类、经管类、艺术教育类、文法类,表明人工智能学习软件主要影响理工类大学生的学习。
Artificial intelligence has become one of the most influential aspects in recent years, involving var-ious fields such as finance, healthcare, and transportation, and also playing a very important role in education and teaching. Taking 4606 college students from the questionnaire survey attached to Question B of the 2023 “Electrician Cup” Mathematical Modeling Competition as an example, this study screened relevant indicators that can reflect the impact of artificial intelligence learning software on the learning of college students in different majors. The TOPSIS method was used to evaluate the impact of artificial intelligence learning software on the learning of college students in different majors. The learning-related index, from high to low, is in order of science and engineering, economics and management, art and education, and grammar, indicating that artificial intelligence learning software mainly affects the learning of science and engineering college students.
[1] | 国务院. 新一代人工智能发展规划[M]. 北京: 人民教育出版社, 2017. |
[2] | 中华人民共和国教育部. 教育信息化2.0行动计划[Z]. 2018. |
[3] | 曹梦川, 欧阳仪, 伍丹, 等. 基于机器学习的学生学情预警方法研究[J]. 现代信息科技, 2023, 7(19): 142-144+150. |
[4] | 何逢标. 综合评价方法MATLAB实现[M]. 北京: 中国社会科学出版社, 2010: 316-318. |
[5] | 赵静, 但琦, 等. 数学建模与数学实验[M]. 北京: 高等教育出版社, 2020: 249. |
[6] | 汪辉, 陈政, 王燕荣, 等. 基于TOPSIS模型的地方高校创业教育质量评价指标体系的构建与实证[J]. 长沙大学学报, 2022, 36(5): 57-64. |
[7] | 周娜, 刘金宝, 文国新, 李娜, 饶友婷, 周敏. TOPSIS法与综合指数法对乌鲁木齐市米东区农村地区健康相关指数的评价[J]. 中国卫生统计, 2016, 33(2): 282-284. |