Abstract | ||
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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. |
Year | DOI | Venue |
---|---|---|
2004 | 10.1007/978-3-540-30501-9_157 | PDCAT |
Keywords | Field | DocType |
fuzzy grade sheet,selfdirected learning,fuzzy theory,self-directed learning evaluation,own learning ability,fuzzy grade,final fuzzy grade degree,triangle-type function,self directed learning | Computer science,Fuzzy logic,Artificial intelligence,Machine learning,Autodidacticism | Conference |
Volume | ISSN | ISBN |
3320 | 0302-9743 | 3-540-24013-6 |
Citations | PageRank | References |
4 | 2.16 | 1 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Sung-Kwan Je | 1 | 6 | 4.30 |
Chang-Suk Kim | 2 | 4 | 2.49 |
Eui-Young Cha | 3 | 49 | 11.24 |