Abstract
In this paper, we propose a method to detect failure of learning of students using quiz responses in a course management system Moodle. Failure of learning is defined as a situation in which the correct answer rate of a learning topic is significantly lower than the correct answer rate of other topics. In the research, the researchers identified the presence or absence of failure of learning in actual classes to evaluate the usefulness of the proposed method. The results revealed that students checked the quiz results significantly more in the experimental group than in the control group, and that more instruction was given to the experimental group.
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
Bull, C.R., Bull, R.M., Rastin, B.C.: On the Sensitivity of the Chi-square Test and its Consequences. Meas. Sci. Technol. 3, 789–795 (1992)
Graf, S., Kinshuk, K.: Providing Adaptive Courses in Learning Management Systems with Respect to Learning Styles. In: Bastiaens, T., Carliner, S. (eds.) Proceedings of World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education 2007, pp. 2576–2583 (2007)
Huang, X.Z.: The HypergeometricDistribution Model for Predicting the Reliability of Softwares. Microelectron Reliab. 24, 11–20 (1984)
Klosgen, W., Zytkow, J.: Handbook of Data Mining and Knowledge Discovery. Oxford University Press, New York (2002)
Moodle, http://moodle.org/
Open University of Japan:H21-22 Survey on the Promotion of ICT Use Education. Center of ICT and Distance Education (2011)
McCartney, R., Eckerdal, A., Mostrom, J.E., Sanders, K., Zander, C.: Successful Students’Strategies for Getting Unstuck. SIGCSE Bull. 39, 156–160 (2007)
Roessling, G., Kothe, A.: Extending Moodle to Better Support Computing Education. SIGCSE Bull. 41, 146–150 (2009)
Romero, C., Ventura, S., Garcia, E.: Data Mining in Course Management Systems: Moodle Case Study and Tutorial. Computers and Education 51, 368–384 (2007)
Kato, T., Ishikawa, T.: Design and Evaluation of Support Functions of Course Management Systems for Assessing Learning Conditions in Programming Practicums. In: International Conference on Advanced Learning Technologies 2012, pp. 205–207 (2012)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer International Publishing Switzerland
About this paper
Cite this paper
Kato, T., Ishikawa, T. (2013). Detection and Presentation of Failure of Learning from Quiz Responses in Course Management Systems. In: Yoshida, T., Kou, G., Skowron, A., Cao, J., Hacid, H., Zhong, N. (eds) Active Media Technology. AMT 2013. Lecture Notes in Computer Science, vol 8210. Springer, Cham. https://doi.org/10.1007/978-3-319-02750-0_7
Download citation
DOI: https://doi.org/10.1007/978-3-319-02750-0_7
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-02749-4
Online ISBN: 978-3-319-02750-0
eBook Packages: Computer ScienceComputer Science (R0)