Correlation of Student’s Precursor Emotion towards Learning Science Interest using EEG
Abstract: Mathematics and
science are two important subjects for students to do well in school.
Unfortunately majority of the students are having difficulties in coping with
these subjects. Malaysia is ranked third lowest in the Program for
International Student Assessment (PISA) for mathematics and science. An
emotionally disturbed student seems to have problem coping with the learning of
mathematics and science thus it is important to identify the demotivating
factors affecting the performance of such students. In this paper, it analyze
the correlation of precursor emotion towards student interest in learning
mathematics and science using electroencephalogram (EEG) device. This
correlation and their respective emotion can be analyzed based on the 2-D
Affective Space Model (ASM) using four basic emotions of happiness, calmness,
fear and sadness as reference stimuli. EEG device was used to extract brain
waves signal while answering the mathematics and science questions. The EEG
signals were captured on the scalp of the student and features extracted using
Mel Frequency Cepstral Coefficient (MFCC). Neural network classifier of
Multilayer Perceptron (MLP) was used to classify the valence and arousal axes
for the ASM. Preliminary results show the relationship of precursor emotion and
the dynamic emotions of the student while taking the mathematics and science
test. We hope that these results can help us further relate the behavior and
interest of students towards the learning of mathematics and science.
Author: Norzaliza Md Nor,
Abdul Wahab Bar, Sheikh Hussain Shaikh Salleh
Journal Code: jptkomputergg150182
