A case study of learning action and emotion from a perspective of learning analytics

  • Haiping Zhu
  • , Xinhui Zhang
  • , Bin Zeng
  • , Xinhong Wang
  • , Yan Chen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

10 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - 17th IEEE International Conference on Computational Science and Engineering, CSE 2014, Jointly with 13th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2014, 13th International Symposium on Pervasive Systems, Algorithms, and Networks, I-SPAN 2014 and 8th International Conference on Frontier of Computer Science and Technology, FCST 2014
EditorsXingang Liu, Didier El Baz, Ching-Hsien Hsu, Kai Kang, Weifeng Chen
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages420-424
Number of pages5
ISBN (Electronic)9781479979813
DOIs
StatePublished - 26 Jan 2015
Event17th IEEE International Conference on Computational Science and Engineering, CSE 2014 - Jointly with 13th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2014, 13th International Symposium on Pervasive Systems, Algorithms, and Networks, I-SPAN 2014 and 8th International Conference on Frontier of Computer Science and Technology, FCST 2014 - Chengdu, China
Duration: 19 Dec 201421 Dec 2014

Publication series

NameProceedings - 17th IEEE International Conference on Computational Science and Engineering, CSE 2014, Jointly with 13th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2014, 13th International Symposium on Pervasive Systems, Algorithms, and Networks, I-SPAN 2014 and 8th International Conference on Frontier of Computer Science and Technology, FCST 2014

Conference

Conference17th IEEE International Conference on Computational Science and Engineering, CSE 2014 - Jointly with 13th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2014, 13th International Symposium on Pervasive Systems, Algorithms, and Networks, I-SPAN 2014 and 8th International Conference on Frontier of Computer Science and Technology, FCST 2014
Country/TerritoryChina
CityChengdu
Period19/12/1421/12/14

Keywords

  • Correlation analysis
  • E-learning
  • Learning analytics
  • PANAS

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