TY - GEN
T1 - Analysis of Students Ability Assessment Based on Bloom's Taxonomy Using Fuzzy Signatures
AU - Eryca Dwi Huzaini, R.
AU - Yuhana, Umi Laili
AU - Setijadi, Eko
AU - Purnomo, Mauridhi H.
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/8
Y1 - 2019/8
N2 - 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.
AB - 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.
KW - fuzzy signature
KW - student ability assessment
UR - http://www.scopus.com/inward/record.url?scp=85078439693&partnerID=8YFLogxK
U2 - 10.1109/ISITIA.2019.8937156
DO - 10.1109/ISITIA.2019.8937156
M3 - Conference contribution
AN - SCOPUS:85078439693
T3 - Proceedings - 2019 International Seminar on Intelligent Technology and Its Application, ISITIA 2019
SP - 410
EP - 415
BT - Proceedings - 2019 International Seminar on Intelligent Technology and Its Application, ISITIA 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 International Seminar on Intelligent Technology and Its Application, ISITIA 2019
Y2 - 28 August 2019 through 29 August 2019
ER -