DocumentCode :
3744316
Title :
Affective assessment in learning using fuzzy logic
Author :
Marina Ismail;Lusiana Syaiful
Author_Institution :
Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Shah Alam, Malaysia
fYear :
2015
Firstpage :
98
Lastpage :
102
Abstract :
Affective assessment is getting attention in education as it relates towards students´ emotion in learning. Studies also showed that emotions play a vital role for students during learning session. Currently, there is no specific mechanism to access the affective value during the computer based learning environment. This paper presents the preliminary work done on the elements needed in order to assess the affective value during computer-based learning by incorporating fuzzy logic. A thorough literature has been conducted in order to determine the elements required for affective assessment. In order to apply the fuzzy logic in the assessment it requires elements of affective value, preference questions and suitable assessment rubrics. This finding will help to design and develop a comprehensive affective assessment module. Measuring the students´ emotion while learning will enable the teacher/ parents/ learning agent to assist learner to better grasp the lesson learnt.
Keywords :
"Fuzzy logic","Computers","Biological system modeling","Mathematical model","Conferences","Electronic learning","Mood"
Publisher :
ieee
Conference_Titel :
e-Learning, e-Management and e-Services (IC3e), 2015 IEEE Conference on
Type :
conf
DOI :
10.1109/IC3e.2015.7403494
Filename :
7403494
Link To Document :
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