面向本科教育的在线课程推荐系统 毕业论文+开题报告+运行环境说明+项目源码及数据库文件+论文检测查重报告
摘 要
随着信息技术的不断进步，教育领域正经历着深刻的变革，传统的教育方式逐渐向信息化、智能化方向转变。同时，学生对于学习方式的需求也日益多样化和个性化，不受时间和地点限制的在线学习成为越来越多学生的选择。然而，现有的在线学习平台在推荐系统方面存在诸多不足，无法满足学生的个性化需求。因此，本选题旨在通过设计并实现一个面向本科教育的在线课程推荐系统，解决现有问题，满足学生的个性化学习需求，推动教育信息化的进一步发展。
本文旨在设计并实现一个面向本科教育的在线课程推荐系统，该系统基于知识图谱技术，能够根据学生的个性化需求和学习路径，提供精准的课程推荐。随着教育信息化和个性化教育的快速发展，学生对于不受时间和地点限制的在线学习方式表现出浓厚的兴趣。然而，现有的推荐系统在资料推荐方面存在不符合学生个人需求的问题，导致推荐效果不佳。此外，信息数字化带来的信息冗杂和形式多样化也给系统检索带来了挑战。因此，本文提出个性化学习路径推荐系统，通过MySQL作为后台数据库，HTML实现前端页面设计，结合Python后台技术和Django框架，构建完整的系统界面和数据交互。该系统包括用户模块、用户学习路径采集模块、个性化学习路径推荐模块和后台管理模块，旨在帮助用户快速准确地找到所需的学习资料，提高学习效率。
关键词：在线教育；课程推荐系统；知识图谱；个性化学习路径；Python
Abstract
With the continuous progress of information technology, the field of education is undergoing profound changes, and the traditional way of education is gradually changing to the direction of information and intelligence. At the same time, students' needs for learning methods are increasingly diversified and personalized, and online learning, which is not limited by time and place, has become the choice of more and more students. However, the existing online learning platforms have many deficiencies in the recommendation system, which cannot meet the personalized needs of students. Therefore, this topic aims to design and realize an online course recommendation system for undergraduate education, solve the existing problems, meet students' personalized learning needs, and promote the further development of educational informatization.
This paper aims to design and implement an online course recommendation system for undergraduate education, which is based on knowledge mapping technology and can provide accurate course recommendation according to students' personalized needs and learning paths. With the rapid development of educational informatization and personalized education, students show a strong interest in online learning methods that are not limited by time and place. However, the existing recommendation system has the problem that the data recommendation does not meet the personal needs of students, resulting in the poor recommendation effect. In addition, the information diversity and form diversification brought about by the information digitization also bring challenges to the system retrieval. Therefore, this paper proposes a personalized learning path recommendation system, through MySQL as a background database, HTML to realize the front-end page design, combined with Python background technology and Django framework, to build a complete system interface and data interaction. The system includes the user module, the user learning path acquisition module, the personalized learning path recommendation module and the background management module, which aims to help the users quickly and accurately find the required learning materials and improve the learning efficiency.
Key words: online education; course recommendation system; knowledge map; personalized learning path; Python
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