Increasing Completion Rate of Courses in MOOCs by Visualizing Video Viewing Behavior Analysis

碩士 === 國立中央大學 === 軟體工程研究所 === 104 === More and more students start to gain knowledge by watching videos in massive open online courses (MOOCs) in recent years, but most of the MOOC platforms lack of interfaces to reflect students’ learning behavior. Some students may feel confused while learning...

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Bibliographic Details
Main Authors: Chih-Lun Wu, 吳志倫
Other Authors: Stephen Yang
Format: Others
Language:zh-TW
Published: 2016
Online Access:http://ndltd.ncl.edu.tw/handle/04503546935544277201
Description
Summary:碩士 === 國立中央大學 === 軟體工程研究所 === 104 === More and more students start to gain knowledge by watching videos in massive open online courses (MOOCs) in recent years, but most of the MOOC platforms lack of interfaces to reflect students’ learning behavior. Some students may feel confused while learning, but the instructor does not aware this problem. As encountering difficulties, the depressed students may eventually discontinue learning. So as to solve the problems above, we could make use of the action logs which MOOC platforms record while students using the system. According to the research, students spend most of their time watching videos on the platforms. In this paper, we visualize the video viewing behaviors of learners, such as play, pause, seek and stop events. The results should provide an insight into the students’ learning behaviors. Instructors can know the sections which needs to be improve with the graphs. After modifying videos, students could have better learning experience than before. As a result, the completion rate of the course should increases. By the graphs, some interesting viewing behaviors are also discovered.