Abstract
Students’ learning activities in the classroom are difficult to be recorded and evaluated. In this study, we designed an e-learning blended classroom lecture for the first-year students, and most of the learning activities could be recorded in the e-learning system. We also developed a visualization dashboard using the log data of the e-learning system. Teachers could visualize students’ learning activities dynamically, and interactively on their own analytic views to analyze students’ learning activities and to design efficient teaching strategies.
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
References
Larusson, J.A., White, B.: Learning Analytics: From Research to Practice. Springer (2014)
Ferguson, R.: Learning analytics: drivers, developments and challenges. Int. J. Technol. Enhanc. Learn. 4(5/6), 304–317 (2012)
Siemens, G.: Learning analytics: The emergence of a discipline. Am. Behav. Sci. 57(10), 1380–1400 (2013)
Romero, C., Ventura, S.: Data mining in education, data mining knowledge. Discovery 3(1), 12–27 (2013)
Ho, A.D., Reich, J., Nesterko, S., et al.: HarvardX and MITx: the first year of open online courses, HarvardX, and MITx Working Paper No. 1 (2014)
Silva, D., Vieira, M.: Using data warehouse and data mining resources for ongoing assessment in distance learning. In: IEEE International Conference on Advanced Learning Technologies, pp. 40–45. IEEE Computer Society, Kazan (2002)
Carmona, C., Castillo, G., Millán, E.: Discovering student preferences in e-learning. In: Proceedings of the International Workshop on Applying Data Mining in e-Learning, pp. 23–33 (2007)
Siemens, G., Gasevic, D., Haythornthwaite, C., et al.: Open Learning Analytics: An Integrated & Modularized Platform. Open University Press (2011)
Romero, C., Romero, J.R., Ventura, S.: A survey on pre-processing educational data. In: Educational Data Mining Applications and Trends, pp. 20–64 (2013)
Schwendimann, B.A., Rodriguez-Triana, M.J., Vozniuk, A., et al.: Perceiving learning at a glance: a systematic literature review of learning dashboard research. IEEE Trans. Learn. Technol. 10(1), 30–41 (2017). https://doi.org/10.1109/TLT.2016.2599522
Rice, W.H.: Moodle E-learning Course Development. A Complete Guide to Successful Learning Using Moodle. Packt Publishing (2006)
Romero, C., Ventura, S., GarcĂa, E.: Data mining in course management systems: Moodle case study and tutorial. Comput. Educ. 51(1), 368–384 (2008)
Zorrilla, M.E., Menasalvas, E., Marin, D., Mora, E., Segovia, J.: Web usage mining project for improving web-based learning sites. In: Web Mining Workshop, Cataluna, pp. 1–22 (2005)
Gismo: http://gismo.sourceforge.net/. Accessed 25 Feb 2019
Mostow, J., Beck, J., Cen, H., Cuneo, A., Gouvea, E., Heiner, C.: An educational data mining tool to browse tutor-student interactions: Time will tell! In: Proceedings of the Workshop on Educational Data Mining, Pittsburgh, USA, pp. 15–22 (2005)
Mazza, R., Dimitrova, V.: Visualizing student tracking data to support instructors in web-based distance education. In: International World Wide Web Conference, New York, USA, pp. 154–161 (2004)
Nikkei Computer Education: https://pcedu.nikkeibp.co.jp/about/index.html. Accessed 25 Jan 2019
Qlik® Sense Desktop: https://www.qlik.com/ja-jp/products/qlik-sense/desktop. Accessed 25 Jan 2019
Acknowledgements
This work was supported by JSPS KAKENHI Grant-in-Aid for Scientific Research(C) Numbers JP18K11578.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Li, K. (2019). Visualization of Learning Activities in Classroom Blended with e-Learning System. In: Uskov, V., Howlett, R., Jain, L. (eds) Smart Education and e-Learning 2019. Smart Innovation, Systems and Technologies, vol 144. Springer, Singapore. https://doi.org/10.1007/978-981-13-8260-4_13
Download citation
DOI: https://doi.org/10.1007/978-981-13-8260-4_13
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-8259-8
Online ISBN: 978-981-13-8260-4
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)