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Self-Directed Learning Evaluation Using Fuzzy Grade Sheets

  • Conference paper
Parallel and Distributed Computing: Applications and Technologies (PDCAT 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3320))

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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.

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References

  1. 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)

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  2. 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)

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  3. 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)

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  4. 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)

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Author information

Authors and Affiliations

  1. Dept. of Computer Science, Pusan National University, Korea

    Sung-Kwan Je & Eui-Young Cha

  2. Dept. of Computer Education, Kongju National University, Korea

    Chang-Suk Kim

Authors
  1. Sung-Kwan Je
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  2. Chang-Suk Kim
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  3. Eui-Young Cha
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Editor information

Editors and Affiliations

  1. Nanyang Centre for Supercomputing and Visualisation School of Mechanical and Production Engineering, Nanyang Technological University, 50 Nanyang Avenue, 639 798, Singapore

    Kim-Meow Liew

  2. School of Computer Science, The University of Adelaide,  

    Hong Shen

  3. Asia Pacific Science and Technology Center, Sun Microsystems Inc., 50 Nanyang Avenue, N3-1c-10, 639798, Singapore

    Simon See

  4. School of Computer Engineering, Nanyang Technological University, 639798, Singapore

    Wentong Cai

  5. Southwest Jiaotong University,  

    Pingzhi Fan

  6. Tohoku University ,  

    Susumu Horiguchi

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© 2004 Springer-Verlag Berlin Heidelberg

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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

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  • 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)

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