Abstract
In general, at the universities the lecturers use the grades to evaluate the students’ performance. However, the grades do not show the accumulated knowledge. Thus, the students can’t understand whether they have studied enough to understand all the topics of the lecture. In our previous work, we implemented a smartphone-based Active Learning System (ALS), which uses 360-degrees cameras for searching the students’ location. By using the ALS, we can judge the students’ learning style. However, in the case of remote or online lectures, we need to improve our system. Recently, because of COVID-19, most of the universities are using online learning systems. However, the used online learning systems are not yet stable and we cannot get students’ learning status as in the case of ALS. Therefore, in this paper, we present an integrated approach using ALS and a Web video on-demand system for online remote lectures.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Yamamoto, N.: An interactive e-learning system for improving students motivation and self-learning by using smartphones. J. Mob. Multimedia (JMM) 11(1 & 2), 67–75 (2015)
Yamamoto, N.: New functions for an active learning system to improve students self-learning and concentration. In: Proceeding of the 18th International Conference on Network-Based Information Systems (NBiS-2015), September, pp. 573–576 (2015)
Yamamoto, N.: Performance evaluation of an active learning system to improve students self-learning and concentration. In: Proceeding of the 10th International Conference on Broadband and Wireless Computing, Communication and Applications (BWCCA-2015), November, pp. 497–500 (2015)
Yamamoto, N.: Improvement of group discussion system for active learning using smartphone. In: Proceeding of the 10th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS-2016), July, pp. 143–148 (2016)
Yamamoto, N.: Improvement of study logging system for active learning using smartphone. In: Proceedings of the 11th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC–2016), November, pp. 845–851 (2016)
Yamamoto, N., Uchida, N.: Improvement of the interface of smartphone for an active learning with high learning concentration. In: Proceeding of the 31st International Conference on Advanced Information Networking and Applications Workshops (AINA-2017), March, pp. 531–534 (2017)
Yamamoto, N., Uchida, N.: Performance evaluation of a learning logger system for active learning using smartphone. In: Proceeding of the 20th International Conference on Network-Based Information Systems (NBiS-2017), August, pp. 443–452 (2017)
Yamamoto, N., Uchida, N.: Performance evaluation of an active learning system using smartphone: a case study for high level class. In: Proceeding of the 6th International Conference on Emerging Internet, Data & Web Technologies (EIDWT-2018), March, pp. 152–160 (2018)
Yamamoto, N., Uchida, N.: Dynamic group formation for an active learning system using smartphone to improve learning motivation. In: Proceedings of the 12th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS-2018), March, pp. 183–189 (2018)
Yamamoto, N., Uchida, N.: Performance evaluation of a smartphone-based active learning system for improving learning motivation during study of a difficult subject. In: Proceeding of the 21th International Conference on Network-Based Information Systems (NBiS-2018), August, pp. 531–539 (2018)
Yamamoto, N.: Converting big video data into short video: using 360-degree cameras for searching students location and judging students learning style. In: Proceeding of The 22nd International Conference on Network-Based Information Systems (NBiS-2019), September, pp. 459–464 (2019)
Yamamoto, N.: Judging students’ learning style from big video data using neural network. In: Proceeding of the 7th International Conference on Emerging Internet, Data & Web Technologies (EIDWT-2020), January, pp. 1–6 (2020)
World Health Organization: WHO official information on COVID-19, 21 June 2020. https://extranet.who.int/kobe_centre/en/covid
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Switzerland AG
About this paper
Cite this paper
Yamamoto, N. (2021). An Integrated Online Learning Approach Using a Smartphone-Based Active Learning System and a Web Video On-Demand System. In: Barolli, L., Li, K., Enokido, T., Takizawa, M. (eds) Advances in Networked-Based Information Systems. NBiS 2020. Advances in Intelligent Systems and Computing, vol 1264. Springer, Cham. https://doi.org/10.1007/978-3-030-57811-4_35
Download citation
DOI: https://doi.org/10.1007/978-3-030-57811-4_35
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-57810-7
Online ISBN: 978-3-030-57811-4
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)