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学生需要什么样的MOOC?——基于用户评论的学习者需求分析及其对满意度的影响

2024年第6期  点击:[]

马新国 马玉慧

(渤海大学 教育科学学院,辽宁 锦州 121000)

【摘 要】MOOC平台吸引了大量的学习者进行在线学习,但是学习者在MOOC中的学习成效并不总能达到预期。因此,MOOC课程质量、学习效果的影响因素成为了研究者关注的重点。但是,较少有研究从学习需求视角分析当前学习者到底需要什么样的MOOC。本研究通过关键词提取、词向量转换、聚类分析算法对中国大学MOOC国家精品课的学习者评论进行文本挖掘,得出MOOC学习者的九类学习需求:教师特质、感知学术能力、课程内容、学习资源、社交归属、学习管理、平台价值、学习任务和技术支持,进一步基于文本情感分析与关注度计算,得出不同学习需求的满意度,最后采用随机森林模型探究各类学习需求对学习者满意度的影响。研究结果表明,课程内容、教师特质、感知学术能力这三类学习需求对MOOC学习者满意度的影响最大。本研究对改进MOOC平台、提升MOOC质量具有一定参考价值。

【关键词】MOOC;学习需求;文本挖掘


What Kind of MOOCs Do Students Need? A Learner Needs Analysis Based on User Reviews and Its Impact on Course Satisfaction

MA Xinguo and MA Yuhui

(College of Education Science, Bohai University, Jinzhou 121000, China)

Abstract: MOOC platforms have attracted large numbers of online learners , whereas learners’ learning outcomes in MOOCs do not always meet expectations. Therefore, influencing factors of MOOC course quality and learning effectiveness have drawn researchers’ attention. However, fewer studies have investigated what kind of MOOCs current learners actually need from the perspective of learning needs. Through keyword extraction, word vector transformation, and cluster analysis algorithms, this article conducted a text mining of national boutique Chinese university MOOCs’ learner reviews. Nine categories of MOOC learners’ learning needs were identified: teacher qualities, perceived academic competence, course content, learning resources, social belonging, learning management, platform value, learning tasks and technical support. Furthermore, text sentiment analysis and attention calculation were taken, deriving the course satisfaction of different learning needs, and finally using the Random Forest Model to explore the impact of various types of learning needs on learner satisfaction. Results show that three types of learning needs, namely course content, instructor attributes, and perceived academic competence, have the greatest impact on MOOC learner satisfaction. Methods for obtaining MOOC learners’ learning needs are proposed. Findings are expected to provide reference for improving MOOC platforms and enhancing MOOC quality.

Keywords: MOOC; learning needs; text mining

下载: 学生需要什么样的MOOC?.pdf

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