Abstract
For the improvement of study efficiency, it is very important to judge the learner’s understanding level accurately. Especially in the Web education unlike a face-to-face education, it is not possible to talk to and to guide the learner directly. Therefore, it is necessary to estimate the understanding level, to present a suitable learning material, and to choose a suitable problem. For these, it becomes very important to be able to judge whether the learner understands or works seriously from the learner’s expression and movement automatically. In this research to achieve this, the problems were given to the subjects and the cerebral blood flows were measured to know whether they think seriously. At the same time, the video image was taken to examine the expression and movement. Especially, the relation of the frequency of blinking eyes and the cerebral blood flow rate was examined. Then, the difference of the movement between understood and not understood was examined as a fundamental study of Web learning system. As a result, a big difference was observed in the frequency of blink.
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Adachi, Y., Ozaki, M., Iwahori, Y. (2011). Preliminary Research for System Construction That Judges Understanding Level from Learner’s Expression and Movement. In: König, A., Dengel, A., Hinkelmann, K., Kise, K., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based and Intelligent Information and Engineering Systems. KES 2011. Lecture Notes in Computer Science(), vol 6884. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23866-6_9
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DOI: https://doi.org/10.1007/978-3-642-23866-6_9
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