科技资讯2024,Vol.22Issue(5) :178-183.DOI:10.16661/j.cnki.1672-3791.2312-5042-5594

智能推荐系统在高校选课中的应用

Application of the Intelligent Recommendation System in Course Selection in Colleges and Univesities

高斐
科技资讯2024,Vol.22Issue(5) :178-183.DOI:10.16661/j.cnki.1672-3791.2312-5042-5594

智能推荐系统在高校选课中的应用

Application of the Intelligent Recommendation System in Course Selection in Colleges and Univesities

高斐1
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作者信息

  • 1. 莆田学院 福建莆田 351100
  • 折叠

摘要

在信息化时代,个性化教育对当今社会至关重要.针对高校选课系统在当今人才培养过程中缺乏推荐等专家辅助系统.人工智能中的推荐系统可以通过传统的推荐算法综合评估得出推荐序列,实现高校选课推荐等个性化服务.基于此,提出了利用智能推荐系统中的协同过滤和内容推荐两种方式混合推荐,帮助实现个性化学习,向专业化培养目标靠近,为学习者提供智能化的辅助指导.同时,推动高校教育更好地进行个性化培养,加快推进人工智能与教育的深度融合和创新发展,促进人才培养模式和传统教育模式更好地向智能教育转变.

Abstract

In the information age,personalized education is crucial to current society.For the lack of expert assis-tance systems such as the recommendation system in the course selection system in colleges and universities in the current process of talent cultivation,the recommendation system based on artificial intelligence can comprehen-sively assess and obtain the recommendation sequence through traditional recommendation algorithms,so as to achieve personalized services such as course selection recommendation in colleges and universities.The paper pro-poses to use the hybrid recommendation of collaborative filtering and content recommendation in the intelligent recommendation system to help achieve personalized learning and approach professional training goals,so as to pro-vide intelligent auxiliary guidance for learners.At the same time,it is necessary to promote better personalized train-ing in higher education,and accelerate the deep integration and innovative development of artificial intelligence and education,in order to promote the better transformation of talent cultivation models and traditional education models towards intelligent education.

关键词

个性化/协同过滤/内容推荐/高校选课

Key words

Personalization/Collaborative filtering/Centent recommendation/Course selection in colleges and universities

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基金项目

莆田学院教改项目(JG2022078)

出版年

2024
科技资讯
北京国际科技服务中心 北京合作创新国际科技服务中心

科技资讯

影响因子:0.51
ISSN:1672-3791
参考文献量17
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