Subjective Difficulty Estimation of Educational Comics Using Gaze Features

Author:

SAKAMOTO Kenya1,SHIRAI Shizuka1,TAKEMURA Noriko1,ORLOSKY Jason2,NAGATAKI Hiroyuki1,UEDA Mayumi1,URANISHI Yuki1,TAKEMURA Haruo1

Affiliation:

1. Osaka University

2. Augusta University

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Reference35 articles.

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2. [2] C.G. Brinton, S. Buccapatnam, M. Chiang, and H.V. Poor, “Mining mooc clickstreams: Video-watching behavior vs. in-video quiz performance,” IEEE Trans. Signal Process., vol.64, no.14, pp.3677-3692, 2016. 10.1109/tsp.2016.2546228

3. [3] I. Fuse and S. Okabe, “Computer ethics education using video and manga teaching materials: learning effects and the order of using teaching materials,” Transactions of Japanese Society for Information and Systems in Education, vol.27, no.4, pp.327-336, 2010.

4. [4] S. Shirai, I. Takenaka, H. Nagataki, and S. Kanemune, “Development and evaluation of a comic for learning introductory databases,” Japan Journal of Educational Technology, vol.42, no.Suppl., pp.109-112, 2018.

5. [5] T. Kogo and C. Kogo, “The effects of comic-based presentation of instructional materials on comprehension and retention,” Japan Journal of Educational Technology, vol.22, no.2, pp.87-94, 1998.

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