Methodology and Application of Eye-Tracking Techniques in Science Education

作者: Miao-Hsuan Yen , Fang-Ying Yang

DOI: 10.1007/978-981-287-472-6_13

关键词: Cognitive loadThink aloud protocolScience educationFixation (psychology)Eye trackingComputer scienceEmpirical researchData scienceOnline processingAchievement test

摘要: Eye-tracking techniques have the potential to reveal learning processes and problem solving strategies when dealing with science content. For instance, locations, durations, numbers of gazes in predefined areas interest together transitions between indicate degree attention allocation these areas. These measures combined achievement tests, thinking aloud, or interviews can shed light on how why learners gain do not knowledge. This chapter aims introduce issues education that be explored eye-tracking methodological concerns should considered conducting research interpreting data. The first section this outlines second presents a survey empirical studies conducted Taiwan. Specifically, since material content usually consists multiple representations, attentional distribution text illustration is one foci. Furthermore, participants’ prior knowledge additional cues guide also investigated. Implications for future development are discussed last section.

参考文章(45)
Geoffrey Underwood, None, Eye guidance in reading and scene perception Elsevier. ,(1998)
Gareth Carrol, Kathy Conklin, Eye-tracking multi-word units: some methodological questions Journal of Eye Movement Research. ,vol. 7, pp. 1- 11 ,(2015) , 10.16910/JEMR.7.5.5
Johanna K. Kaakinen, Jukka Hyönä, Minna Viljanen, Influence of a psychological perspective on scene viewing and memory for scenes Quarterly Journal of Experimental Psychology. ,vol. 64, pp. 1372- 1387 ,(2011) , 10.1080/17470218.2010.548872
Mark R. Blair, Marcus R. Watson, R. Calen Walshe, Fillip Maj, Extremely selective attention: Eye-tracking studies of the dynamic allocation of attention to stimulus features in categorization. Journal of Experimental Psychology: Learning, Memory, and Cognition. ,vol. 35, pp. 1196- 1206 ,(2009) , 10.1037/A0016272
Keith Rayner, Alexander Pollatsek, Erik D. Reichle, Eye movements in reading: Models and data Behavioral and Brain Sciences. ,vol. 26, pp. 507- 518 ,(2003) , 10.1017/S0140525X03520106
Sheng-Chang Chen, Hsiao-Ching She, Ming-Hua Chuang, Jiun-Yu Wu, Jie-Li Tsai, Tzyy-Ping Jung, Eye movements predict students' computer-based assessment performance of physics concepts in different presentation modalities Computer Education. ,vol. 74, pp. 61- 72 ,(2014) , 10.1016/J.COMPEDU.2013.12.012
Hsin Ning Jessie Ho, Meng-Jung Tsai, Ching-Yeh Wang, Chin-Chung Tsai, PRIOR KNOWLEDGE AND ONLINE INQUIRY-BASED SCIENCE READING: EVIDENCE FROM EYE TRACKING International Journal of Science and Mathematics Education. ,vol. 12, pp. 525- 554 ,(2014) , 10.1007/S10763-013-9489-6
Hsiao-Ching She, Yi-Zen Chen, The impact of multimedia effect on science learning: Evidence from eye movements Computer Education. ,vol. 53, pp. 1297- 1307 ,(2009) , 10.1016/J.COMPEDU.2009.06.012