摘要
随着人工智能在全球范围内快速普及,知识获取和传递方式发生了重要转变.在数学建模学习方面,人工智能为大学生提供了更多的学习机会和资源.文章通过熵权TOPSIS模型确定每项评价指标的权重系数和各项测评指标的综合得分,针对一级指标内的测评指标进行综合排序.结果显示,人工智能对大学生数学建模学习的影响既有积极层面也有消极层面,应结合实际,对消极影响因素进行调整,以达到更好的学习效果.
With the rapid popularization of artificial intelligence in the world,important changes have taken place in the way of knowledge acquisition and transmission.In the aspect of mathematical modeling learning,artificial intelligence provides more learning opportunities and resources for college students.This paper determines the weight coefficient of each evaluation index and the comprehensive score of each evaluation index by entropy weight TOPSIS model,and comprehensively sorts the evaluation indexes in the first-class index.The results show that the influence of artificial intelligence on college students′ mathematical modeling learning has both positive and negative aspects,and the negative factors should be adjusted according to the actual situation in order to achieve better learning effect.
作者
邵光明
张青鹏
SHAO Guangming;ZHANG Qingpeng(Anhui University of Chinese Medicine,Hefei 230601,China)
出处
《通化师范学院学报》
2024年第10期132-138,共7页
Journal of Tonghua Normal University
基金
安徽省高校自然科学研究重点项目(KJ2019A0438,SK2020A0255)
安徽省高校省级教学研究项目(2020jyxm1021,2021jyxm0813)
安徽省高等学校省级质量工程项目(2022zygzts056)。
关键词
人工智能
数学建模学习
熵权TOPSIS模型
综合评价
artificial intelligence
mathematical modeling study
entropy weight TOPSIS model
compre-hensive evaluation