摘要
[目的/意义]旨在探究学习者对Python类在线课程的需求和评价,为Python类在线课程的建设和管理提供决策支持。[方法/过程]通过LDA主题模型对MOOC平台Python类在线课程的学习者评论进行文本聚类和主题挖掘分析,同时采用自然语言处理工具进一步分析学习者在各主题下的情感倾向和学习需求。[结果/结论]基于MOOC平台的Python类在线课程基本满足大多学习者的需求,但是学习者对于学习资源与环境这一主题表现出更多的负面情绪,具体体现在答疑和代码库两个方面。因此,建议教师设置必要的平台互动环节并提高代码库的更新时效性。该研究为Python类在线课程的建设提供了理论参考。
[Purpose/significance]It aims to explore learners’needs and evaluations of Python online courses,and provide decision-making support for the construction and management of Python online courses.[Method/process]This paper uses the LDA topic model to conduct text clustering and topic mining analysis on the learner comments of Python online courses on the MOOC platform.At the same time,natural language processing tools are used to further analyze learners’emotional tendencies and learning needs under various topics.[Result/conclusion]Python online courses based on MOOC platform basically meet the needs of most learners,but learners show more negative emotions on the subject of learning resources and environment,which are embodied in two aspects:question answering and code base.Therefore,it is recommended that teachers set up the necessary platform interaction links and improve the timeliness of code base updates.This research provides a theoretical reference for the construction of Python online courses.
作者
成菲
张浩
Cheng Fei;Zhang Hao(College of Education,Guizhou Normal University,Guiyang Guizhou 550000)
出处
《情报探索》
2025年第6期97-104,共8页
Information Research
基金
贵州师范大学本科重大教学研究项目“数智赋能乡村教育的理论探索与实践创新”(项目编号:2024-XZD-ZX-01)研究成果之一。
