人工智能对大学生学习影响的TOPSIS模型评价  

The Evaluation of Artificial Intelligence′s Impact on College Students′Learning Based on TOPSIS Model

作　　者：阚峻岭 李文烁 喻婷芳 董著茜 KAN Junling;LI Wenshuo;YU Tingfang;DONG Zhuqian(College of Pharmaceutical Information Engineering,Anhui University of Chinese Medicine,Hefei 230601,China)

机构地区：[1]安徽中医药大学医药信息工程学院,安徽合肥230012

出　　处：《枣庄学院学报》2025年第2期55-61,共7页Journal of Zaozhuang University

基　　金：安徽省质量工程项目(2022xqhz038、2021yljc072、2024lhpysfjd047、2020jyxm1021、2021jyxm0813);安徽中医药大学自然科学重点研究项目(2021zrzd12)。

摘　　要：探讨人工智能对大学生学习所产生的影响。构建TOPSIS模型以分析人工智能影响大学生学习的相关因素,并构建相关评价指标体系,指标体系主要包括人工智能的了解程度、使用意愿、认可度和对网络的熟悉程度4个一级指标以及15个测评指标。通过TOPSIS方法和层析分析法对4个一级指标体系分别进行权重分析,并使用群决策模型对不同指标进行总和排序和测评样本进行打分。结果显示,人工智能对大学生学习具有积极的影响且各因素影响程度不同,并且人工智能在提升学生学习效率、提供个性化学习资源、促进深度学习方面展现了巨大的潜力,尤其是在解答学术问题和辅助学习方面尤其突出。To explore the impact of artificial intelligence(AI)on college students′learning.A TOPSIS model was constructed to analyze factors influencing AI′s role in student learning,alongside the development of an evaluation index system.This system comprises four primary indicators(familiarity with AI,understanding of AI,willingness to use AI,and acceptance of AI)and 15 evaluation metrics.Using the TOPSIS method and Analytic Hierarchy Process(AHP),weights were assigned to the four primary indicators.A group decision-making model was applied to rank the indicators comprehensively and score evaluation samples.The results show that:AI exerts a positive influence on college students′learning,with varying degrees of impact across factors.AI demonstrates significant potential in enhancing learning efficiency,providing personalized resources,and facilitating deep learning,particularly in academic problem-solving and learning assistance.

关 键 词：人工智能 个性化学习 评价指标体系 层次分析法 TOPSIS 

分 类 号：G642[文化科学—高等教育学]