Abstract
In this paper, we propose that the evaluation of the methods of selfdirected learning use the triangle-type function of the fuzzy theory so that the learner can objectively evaluate their own learning ability. The proposed method classifies the result of learning into three fuzzy grades to calculate membership, and evaluate the result of an exam according to the final fuzzy grade degree as applied to the fuzzy grade sheets.
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.
Similar content being viewed by others
References
Kim, H.J., Cho, S.H.: Design and Development of Web-Based Learning System Using Self-Directed Collaborative Learning Model. Journal of Korean Association of Computer Education 5(1), 67–73 (2002)
Jang, L.H., Kim, T.K.: Fuzzy performance assessment methods and mathematical educations. Journal of Korea Fuzzy Logic and Intelligent Systems 11(8), 742–754 (2001)
Sin, D.G., Won, S.H., Chung, H.M.: A Study on Education Evaluation Method using Fuzzy Theory. Journal of Korea Fuzzy Logic and Intelligent Systems 6(1), 74–82 (1996)
Jung, H.I., Yang, H.K., Kim, K.B.: A study on Self-Directed Learning and The Test-Performing Abilities Assessment Methods by Using Fuzzy Logic. Journal of Korean Association of Computer Education 7(2), 77–84 (2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Je, SK., Kim, CS., Cha, EY. (2004). Self-Directed Learning Evaluation Using Fuzzy Grade Sheets. In: Liew, KM., Shen, H., See, S., Cai, W., Fan, P., Horiguchi, S. (eds) Parallel and Distributed Computing: Applications and Technologies. PDCAT 2004. Lecture Notes in Computer Science, vol 3320. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30501-9_157
Download citation
DOI: https://doi.org/10.1007/978-3-540-30501-9_157
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-24013-6
Online ISBN: 978-3-540-30501-9
eBook Packages: Computer ScienceComputer Science (R0)