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Detecting Online Learners' Reading Ability via Eye-Tracking
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Author(s): Samiullah Paracha (United Nations University – Macao, China), Ayaka Inuoue (Kobe Institute of Computing, Japan)and Sania Jehanzeb (Ritsumeikan Asia Pacific University, Japan)
Copyright: 2018
Pages: 23
Source title:
Optimizing Student Engagement in Online Learning Environments
Source Author(s)/Editor(s): A.V. Senthil Kumar (Hindusthan College of Arts and Science, India)
DOI: 10.4018/978-1-5225-3634-5.ch008
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Abstract
Nurturing the motivation to read is an important instructional goal. There can be a number of reasons for a learner to have problems with reading in online learning environments: (1) eyes being unable to scan easily along a line of print; or (2) as a result of concentrating on controlling the eyes concentration, the short-term memory become impaired. The study reported in this chapter used eye tracking method to provide a useful experimental design for exploring reading performance of university online learners. Different eye-tracking experiments were carried out to help informing the teachers to improve the learning environment and be able to do more accurate assessment about what the students were attending to on the screen.
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