作者: Miao-Hsuan Yen , Fang-Ying Yang
DOI: 10.1007/978-981-287-472-6_13
关键词: Cognitive load 、 Think aloud protocol 、 Science education 、 Fixation (psychology) 、 Eye tracking 、 Computer science 、 Empirical research 、 Data science 、 Online processing 、 Achievement 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.