Using eye-tracking to investigate the different 3D representation on students' mental model construction

Sheng Chang Chen, Hsiao Ching She, Mi Shan Hsiao

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

1 Citation (Scopus)

Abstract

To alleviate these difficulties of students learning atomic orbital concepts, this study developed different 3D animations to foster students to generate better learning performance and their sophisticated mental models. The study also explored students' eye movement behaviors. All 60 high school students received the pre- and post-test of atomic orbital concept test and mental model test before and immediately after learning from either static or dynamic 3D animations. The results indicated that the performances of students' mental models are influenced by different 3D animations mode. With respect to eye movements, students who received dynamic 3D animations allocated greater number of fixation, number of saccade, and longer total inspection time as well as saccade distance than those who received static 3D animations. These findings have implications for how to develop well-designed instruction to foster students' learning performance and for the relationship between eye movement behaviors with learning performance.

Original languageEnglish
Title of host publicationProceedings - IEEE 15th International Conference on Advanced Learning Technologies
Subtitle of host publicationAdvanced Technologies for Supporting Open Access to Formal and Informal Learning, ICALT 2015
EditorsNian-Shing Chen, Tzu-Chien Liu, Kinshuk, Ronghuai Huang, Gwo-Jen Hwang, Demetrios G. Sampson, Chin-Chung Tsai
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages388-390
Number of pages3
ISBN (Electronic)9781467373333
DOIs
Publication statusPublished - 2015 Sep 14
Event15th IEEE International Conference on Advanced Learning Technologies, ICALT 2015 - Hualien, Taiwan
Duration: 2015 Jul 62015 Jul 9

Other

Other15th IEEE International Conference on Advanced Learning Technologies, ICALT 2015
CountryTaiwan
CityHualien
Period15-07-0615-07-09

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Experimental and Cognitive Psychology
  • Computer Networks and Communications
  • Human-Computer Interaction
  • Education

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