%0 Journal Article
%@ 0144929X
%A Muhammad, G.
%A Hussain, M.
%A Al-Hammadi, M.
%A Aboalsamh, H.
%A Mathkour, H.
%A Malik, A.S.
%D 2016
%F scholars:6709
%I Taylor and Francis Ltd.
%J Behaviour and Information Technology
%K Brain; Electroencephalography; Electrophysiology; Frequency bands; Support vector machines, 3D content; Brain signals; Classification system; Educational contents; Learning and memory; Long term memory; Short term memory; Time domain, Biomedical signal processing, brain; electroencephalography; experimental model; learning; long term memory; short term memory; support vector machine
%N 11
%P 958-967
%R 10.1080/0144929X.2016.1212094
%T Short-term and long-term memory analysis of learning using 2D and 3D educational contents
%U https://khub.utp.edu.my/scholars/6709/
%V 35
%X The effect of 2D and 3D educational content learning on memory has been studied using electroencephalography (EEG) brain signal. A hypothesis is set that the 3D materials are better than the 2D materials for learning and memory recall. To test the hypothesis, we proposed a classification system that will predict true or false recall for short-term memory (STM) and long-term memory (LTM) after learning by either 2D or 3D educational contents. For this purpose, EEG brain signals are recorded during learning and testing; the signals are then analysed in the time domain using different types of features in various frequency bands. The features are then fed into a support vector machine (SVM)-based classifier. The experimental results indicate that the learning and memory recall using 2D and 3D contents do not have significant differences for both the STM and the LTM. © 2016 Informa UK Limited, trading as Taylor & Francis Group.
%Z cited By 5