Muhammad, G. and Hussain, M. and Al-Hammadi, M. and Aboalsamh, H. and Mathkour, H. and Malik, A.S. (2016) Short-term and long-term memory analysis of learning using 2D and 3D educational contents. Behaviour and Information Technology, 35 (11). pp. 958-967. ISSN 0144929X
Full text not available from this repository.Abstract
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.
Item Type: | Article |
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Additional Information: | cited By 5 |
Uncontrolled Keywords: | 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 |
Depositing User: | Mr Ahmad Suhairi UTP |
Date Deposited: | 09 Nov 2023 16:18 |
Last Modified: | 09 Nov 2023 16:18 |
URI: | https://khub.utp.edu.my/scholars/id/eprint/6709 |