Abstract

This chapter discusses the use of eye tracking to assess cognitive and metacognitive processes and cognitive load in computer-based learning environments. Benefits of eye tracking for studying such processes are discussed (e.g., the very detailed information it provides on where a participant was looking, in what order, and for how long), but also limitations (e.g., that detailed information does not tell one which processes exactly are occurring; this has to be inferred by the researcher). In addition, this chapter provides examples of how eye tracking can be used to improve the design of instruction in computer-based learning environments, both indirectly and directly. For example, an indirect way would be to use the information on experts’ or successful performers’ viewing patterns to adapt instructions prior to a task (e.g., emphasizing what should be attended to later on) or to adapt the format of the task (e.g., cueing attention). A more direct way would be to display experts’ or successful performers’ eye movements overlaid onto the instructional materials. In the discussion, the opportunities provided by eye tracking, but also the technical challenges it poses are addressed.

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