A Case Study of Learning Action and Emotion from a Perspective of Learning Analytics

With the rapid development of online learning, users have more and more diverse ways to learning. The advantage of online learning is that the e-learners\´ behaviors can be completely recorded in the log events. So learning analytics can be made on these data. More than 500 freshmen used Moodle to study our "C program" course each year. So a large number of learning data have been collected. How to make analysis of the data is very meaningful. In this paper, we focused on analyzing characteristics both the learning behaviors and the nonintellectual factor of e-learners, such as emotion. We aimed to find the main factors which influence learner\´s achievements. These factors might be submit time of programs, login times, the frequency of assignment view, etc. Based on the analysis, we adopted The Positive and Negative Affect Scale (PANAS) and Felder & Solomon Learning Styles and Strategies surveys to obtain e-learner\´s emotion and learning style in a certain period of time or currently. Then we made the correlation analysis between e-learner\´s emotion, learning style and their achievements. The experimental results made a verification that positive emotion has a great influence on the user. And also the learning enthusiasm of visual learners is obviously higher than that of verbal learners.