A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf
.
Eye tracking and early detection of confusion in digital learning environments: Proof of concept
2016
Australasian Journal of Educational Technology
Research on incidence of and changes in confusion during complex learning and problem-solving calls for advanced methods of confusion detection in digital learning environments (DLEs). In this study we attempt to address this issue by investigating the use of multiple measures, including psychophysiological indicators and self-ratings, to detect confusion in DLEs. Participants were subjected to two intrinsically confusing insight problems in the form of visual digital puzzles. They were asked
doi:10.14742/ajet.3060
fatcat:vynzk3oxuveovowmxtpaekarwe