Analysis of Learner’s Behavior Characteristics Based on Open University Online Teaching

• 作者: Yang Zhao
• 来源期刊: 国际计算机前沿大会会议论文集
• 学科: 文学
• 关键词: Online course platform Analysis of learning behavior Learning characteristics Online teaching of Open University
• 年，卷（期）: 2020,（2）
• 页码范围: 561-573
• 页数: 13页
• 分类号: H31

摘要

The analysis on the learning behavior characteristics based on big data is beneficial for improving the learning resource construction,teaching mode and interactive mode of online course platforms.Multiple aspects of analysis were conducted on nearly three million pieces of learning behavior data,which is from seven courses of 3,315 learners in the same major at a university.According to the quantity of course resources and policy of course scoring,four typical learning behaviors were selected,and the correlation between final exam results and learning behavior were analyzed.The analysis of behavior influences on the final exam results were also conducted.The analytical results give suggestions for online teaching and learning.