Abstract

One process in the student learning stage is assessment. Formation of cognitive aspects through Bloom Taxonomy will make it easier for assessors to measure students' ability levels. This assessment becomes more complex by describing the problem according to the level of cognitive dimensions in Bloom's Taxonomy. Fuzzy signatures are introduced as methods that can work in multidimensional regions. This study uses Fuzzy Signatures to assess student's abilities from the three lowest levels of cognitive dimensions based on Bloom Taxonomy, namely Remember, Understand and Application. Fuzzy Signatures make it possible to do calculations using different weights at each level and choose the right aggregation method. Assessment of students' abilities in this study used 664 students' responses in answering questions. Students come from 6 different schools with 4-grade levels consisting of 184 third grade students, 225 fourth grade students, 148 fifth grade students, and 107 sixth grade students. The value of students' abilities can be improved by up to 21% approaching the grade level in their school. With question mapping by the cognitive dimension, students with better grades have the opportunity to answer the questions correctly at a higher level than the class level.

Original languageEnglish
Title of host publicationProceedings - 2019 International Seminar on Intelligent Technology and Its Application, ISITIA 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages410-415
Number of pages6
ISBN (Electronic)9781728137490
DOIs
Publication statusPublished - Aug 2019
Event2019 International Seminar on Intelligent Technology and Its Application, ISITIA 2019 - Surabaya, Indonesia
Duration: 28 Aug 201929 Aug 2019

Publication series

NameProceedings - 2019 International Seminar on Intelligent Technology and Its Application, ISITIA 2019

Conference

Conference2019 International Seminar on Intelligent Technology and Its Application, ISITIA 2019
Country/TerritoryIndonesia
CitySurabaya
Period28/08/1929/08/19

Keywords

  • fuzzy signature
  • student ability assessment

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