基于文本数据分析的混合学习模式效果研究

Lin Tan, Yali Chen, Li Lai, R. Yang
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引用次数: 0

摘要

在信息技术的推动下,混合式学习模式正朝着越来越科学的方向发展。本研究针对新生的学习现状,设计了一种以四种交流模式和有效教学周期为主要思想的混合式学习模式。主要利用数据挖掘技术对在线群体的交流记录进行分析,得出混合学习模式下试点班的学生具有更好的学习主动性。同时也证明了文本数据分析方法在教学研究中的可行性。通过与对照班家庭作业成绩和期末考试成绩的比较,进一步论证了混合式学习模式的优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on the Effect of Blended Learning Mode Based on Text Data Analysis
Blended Learning mode is developing towards more and more scientific direction under the promotion of information technology. Aiming at freshmen's learning situation, this study designs a Blended Learning mode with four communication patterns and effective teaching cycle as the main ideas. It mainly uses data mining technology to analyze the communication records of online group, and it is concluded that the students in the pilot class in the Blended Learning mode have a better learning initiative. It also proved the feasibility of text data analysis method in teaching research. Through the comparison of homework grade and final examination results with the control classes, the advantages of Blended Learning mode are further demonstrated.
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