Abstract
One of today’s hot topics in the field of education is the learning support system. With the progress of networks and multimedia technologies, various types of web-based training (WBT) systems are being developed for distance- and self-learning. Most of the current learning support systems synchronously reproduce lecture resources such as videos, slides, and digital-ink notes written by the teacher. However, from the perspective of support for student learning, these systems provide only keyword retrieval. This paper describes a more efficient learning support system that we developed by introducing lecture information and student arousal levels extracted from biological data. We also demonstrate the effectiveness of the proposed system through a preliminary experiment.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Lee, Y., Geller, J.: A Collaborative and Sharable Web-Based Learning System. International Journal on E-Learning 2(2), 35–45 (2003)
Helic, D., Krottmaier, H., Maurer, H., Scerbakov, N.: Enabling Project-Based Learning in WBT Systems. International Journal on E-Learning 4(4), 445–461 (2005)
e-Learning Hakusyo 2002/2003, ALIC, Ohmsha, Tokyo (2003)
Tamaki, M., Kuwabara, T., Yamada, K., Muto, M., Shimura, A.: Technology Trends in Human Interaction Conscious e-Learning. The Institute of Electronics, Information and Communication Engineers 86(11), 826–833 (2003)
Producer, Microsoft (2003), http://www.microsoft.com/office/powerpoint/producer/prodinfo/features.mspx
EZ-presentator, Hitachi Advanced Digital, http://www.hitachi-ad.co.jp/ezplat/index.html
Ikeya, H., Sato, K., Yamada, H., Nitta, T.: Activating questions and answers between a teacher and students using a web-based lecture system. In: 66th Information Processing Society of Japan, pp. 401–402 (2004)
Takagi, T., Miyasaka, E.: A Speech Prosody Conversion System with a High Quality Speech Analysis-Synthesis Method. In: EUROSPEECH 1993, vol. 31(3), pp. 995–998 (1993)
Sekiguchi, Y., Suzuki, N., Aono, M., Shinohara, S., Nakauchi, S., Horihata, S., Yasuda, Y.: Prototype System for Intelligent Human Sensing: Using EEG, ECG, EOG and TIP to Detect the State of Mental Concentration and Somnolence. In: Proceedings of the Fourth Symposium on Intelligent Human Sensing IHS 2006, pp. 27–30 (2006)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Iribe, Y., Shinohara, S., Matsuura, K., Katsurada, K., Nitta, T. (2006). Self-learning System Using Lecture Information and Biological Data. In: Gabrys, B., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2006. Lecture Notes in Computer Science(), vol 4252. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11893004_129
Download citation
DOI: https://doi.org/10.1007/11893004_129
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-46537-9
Online ISBN: 978-3-540-46539-3
eBook Packages: Computer ScienceComputer Science (R0)