Organizing learning stream data by eye-tracking in a blended learning environment integrated with social media

Xiaokang Zhou, Guangyu Piao, Qun Jin, Runhe Huang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

In this study, we integrate social media into the blended learning environment, and further delve into utilizing the eye-tracking technology to enhance learning to be socialized and more efficient. We propose an approach to employ eye-tracking to extract those related learning stream data according to different seeking patterns in a learning process. Based on these, we go further to organize these raw stream data into meaningful learning contents in accordance with specific tasks in order to benefit both teachers and students, which can assist the learning process and promote the learning efficiency in the blended learning environment.

Original languageEnglish
Title of host publicationITME 2011 - Proceedings
Subtitle of host publication2011 IEEE International Symposium on IT in Medicine and Education
Pages335-339
Number of pages5
DOIs
Publication statusPublished - 2011 Dec 1
Event2011 IEEE International Symposium on IT in Medicine and Education, ITME 2011 - Guangzhou, China
Duration: 2011 Dec 92011 Dec 11

Publication series

NameITME 2011 - Proceedings: 2011 IEEE International Symposium on IT in Medicine and Education
Volume2

Conference

Conference2011 IEEE International Symposium on IT in Medicine and Education, ITME 2011
CountryChina
CityGuangzhou
Period11/12/911/12/11

Keywords

  • eye-tracking
  • information organization
  • social learning
  • social media
  • social stream

ASJC Scopus subject areas

  • Computer Science Applications
  • Biomedical Engineering
  • Education

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