A study of online asynchronous learning monitored by face recognition

  • Authors:
  • Lung-Hsing Kuo;Hsieh-Hua Yang;Hung-Jen Yang;Wen-Chen Hu;S. M. Sue

  • Affiliations:
  • National Kaohsiung Normal University, Kaohsiung City, Taiwan, R.O.C.;Oriental Institute of Technology, Banqiao City, Taipei County, Taiwan, Republic of China;Department of Industrial Technology Education, National Kaohsiung Normal University, Kaohsiung City, Taiwan, R.O.C.;Department of Computer Science, University of Northe Dakota, Grand Forks, ND;National Kaohsiung Normal University, Kaohsiung City, Taiwan, R.O.C.

  • Venue:
  • WSEAS Transactions on Information Science and Applications
  • Year:
  • 2010

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Abstract

The purpose of this study was focused on the learning behavior and performance of asynchronous distance learning with face recognition system among in-service teachers. There were 48 participants invited. In this study, teacher's gender, age, job status, educational level, school level, and school district were analyzed to explore the differences in learning behaviors and performance. The results showed that the higher average face identification rate, the more learning satisfaction, subjects had more login times, login times in the morning, time total quantity of login, study time total quantity, participation modular unit numbers, the higher summary examination average scores. We also found subjects had more summary examination average times, the less summary examination average scores, subjects had more time total quantity of login, average face identification rate, the more learning satisfaction, and subjects' summary examination average times can predict summary examination average scores.