@inproceedings{8a4f3e8a38b54b09b9e837b8b6ab673b,
title = "Using eye-tracking to investigate the different 3D representation on students' mental model construction",
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.",
keywords = "Atomic orbital concept, Eye-tracking, Mental model",
author = "Sheng-Chang Chen and Hsiao-Ching She and Hsiao, {Mi Shan}",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 15th IEEE International Conference on Advanced Learning Technologies, ICALT 2015 ; Conference date: 06-07-2015 Through 09-07-2015",
year = "2015",
month = sep,
day = "14",
doi = "10.1109/ICALT.2015.150",
language = "American English",
series = "Proceedings - IEEE 15th International Conference on Advanced Learning Technologies: Advanced Technologies for Supporting Open Access to Formal and Informal Learning, ICALT 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "388--390",
editor = "Nian-Shing Chen and Tzu-Chien Liu and Kinshuk and Ronghuai Huang and Gwo-Jen Hwang and Sampson, {Demetrios G.} and Chin-Chung Tsai",
booktitle = "Proceedings - IEEE 15th International Conference on Advanced Learning Technologies",
address = "United States",
}