TY  - JOUR
VL  - 35
JF  - Behaviour and Information Technology
A1  - Muhammad, G.
A1  - Hussain, M.
A1  - Al-Hammadi, M.
A1  - Aboalsamh, H.
A1  - Mathkour, H.
A1  - Malik, A.S.
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-84982803398&doi=10.1080%2f0144929X.2016.1212094&partnerID=40&md5=764c76202a73f03a0bb2776fb870cb97
N1  - cited By 5
Y1  - 2016///
AV  - none
SP  - 958
PB  - Taylor and Francis Ltd.
EP  - 967
ID  - scholars6709
IS  - 11
TI  - Short-term and long-term memory analysis of learning using 2D and 3D educational contents
KW  - Brain; Electroencephalography; Electrophysiology; Frequency bands; Support vector machines
KW  -  3D content; Brain signals; Classification system; Educational contents; Learning and memory; Long term memory; Short term memory; Time domain
KW  -  Biomedical signal processing
KW  -  brain; electroencephalography; experimental model; learning; long term memory; short term memory; support vector machine
SN  - 0144929X
N2  - 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.
ER  -