The integrated gaze, web and object tracking techniques for the web-based e-learning platform

Chiao Wen Kao, Yu Ju Huang, Kuo Chin Fan, Hui Hui Chen, Wen Chang Chung, Bor Jiunn Hwang, Chaur Heh Hsieh

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

3 Scopus citations

Abstract

Most web-based e-learning platforms for teaching and learning can record individual action history of the access to course materials and activities. In general, the click through rate (CTR) is recorded as the action to represent the history of people who review the course online. By analyzing CTR only would exclude the important information from the visual behaviors. This study proposed a different method for collecting navigation behaviors. A method uses a web-based camera with the techniques of analyzing the source codes and tracking the objects of web pages and puts people in a more natural and undisturbed environment.

Original languageEnglish
Title of host publicationProceedings of 2013 IEEE International Conference on Teaching, Assessment and Learning for Engineering, TALE 2013
Pages720-724
Number of pages5
DOIs
StatePublished - 2013
Event2013 2nd IEEE International Conference on Teaching, Assessment and Learning for Engineering, TALE 2013 - Kuta, Indonesia
Duration: 26 Aug 201329 Aug 2013

Publication series

NameProceedings of 2013 IEEE International Conference on Teaching, Assessment and Learning for Engineering, TALE 2013

Conference

Conference2013 2nd IEEE International Conference on Teaching, Assessment and Learning for Engineering, TALE 2013
Country/TerritoryIndonesia
CityKuta
Period26/08/1329/08/13

Keywords

  • behavior analysis
  • elearning platform
  • gaze tracking system

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