Journal of Engineering and Applied Sciences

Year: 2017
Volume: 12
Issue: 3
Page No. 508 - 512

Slow and Fast Eeg Waves Analysis for Kolb’s Learning Style Classification

Authors : Nazre bin Abdul Rashid, Mohd. Nasir bin Taib, Sahrim bin Lias, Norizam bin Sulaiman and Zunairah binti Murat

References

Bacher, J., K. Wenzig and M. Vogler, 2004. SPSS twostep cluster-a first evaluation. Master Thesis, University of Erlangen-Nuremberg, Erlangen, Germany.

Borich, M.R., K.E. Brown, B. Lakhani and L.A. Boyd, 2015. Applications of electroencephalography to characterize brain activity: Perspectives in stroke. J. Neurol. Phys. Ther., 39: 43-51.
PubMed  |  Direct Link  |  

Butler, M.J., H.L. O'Broin, N. Lee and C. Senior, 2015. How organizational cognitive neuroscience can deepen understanding of managerial decisionā€making: A review of the recent literature and future directions. Intl. J. Manage. Rev., 18: 542-559.
CrossRef  |  Direct Link  |  

Keefe, J.W., 1987. Learning style theory and practice. Master Thesis, National Association of Secondary School Principals, Reston, Virginia.

Koehler, A.B. and E.S. Murphree, 1988. A comparison of the Akaike and Schwarz criteria for selecting model order. Appl. Stat., 37: 187-195.
CrossRef  |  Direct Link  |  

Kolb and A. David, 1981. Learning Styles and Disciplinary Differences. In: The Modern American College, Chickering, A.W. (Ed.). Jossey-Bass, San Francisco, pp: 232-255.

Kolb, A.Y. and D.A. Kolb, 2005. The Kolb learning style inventory-Version 3.1 2005 technical specifications. Hay Resource Direct, Massachusetts. http://www.whitewater-rescue.com/support/pagepics/lsitechmanual.pdf.

Kolb, D.A., 1984. Experiential Learning: Experience as the Source of Learning and Development. Prentice Hall, Englewood Cliffs, NJ., USA.

Kolb, D.A., 1984. Experiential Learning: Experience as the Source of Learning and Development. Prentice Hall, Englewood Cliffs, NJ., USA.

Kolb, D.A., 2007. The Kolb Learning Style Inventory-Version 3.1: LSI Workbook. Hay Group Publisher, Boston, Massachusetts,.

Mazher, M., A.A. Aziz, A.S. Malik and A. Qayyum, 2015. A statistical analysis on learning and non-learning mental states using EEG. Proceedings of the 2015 IEEE Student Symposium on Biomedical Engineering and Sciences (ISSBES), November 4, 2015, IEEE, Tronoh, Malaysia, ISBN:978-1-4673-7816-1, pp: 36-40.

Mohanchandra, K., S. Saha and G.M. Lingaraju, 2015. EEG Based Brain Computer Interface for Speech Communication: Principles and Applications. In: Brain-Computer Interfaces, Hassanien, A.E. and A.T. Azar (Eds.). Springer, Switzerland, ISBN:978-3-319-10977-0, pp: 273-293.

Okazaki, S., 2006. What do we know about mobile internet adopters: A cluster analysis. Inform. Manage., 43: 127-141.
CrossRef  |  

Rashid, N.A., M.N. Taib, S. Lias and N. Sulaiman, 2010. Classification of learning style based on Kolb's learning style inventory and EEG using cluster analysis approach. Proceedings of the 2010 2nd International Conference on Engineering Education (ICEED), December 8-9, 2010, IEEE, Tanjung Malim, Malaysia, ISBN:978-1-4244-7308-3, pp: 64-68.

Rashid, N.A., M.N. Taib, S. Lias and N. Sulaiman, 2011. Implementation of cluster analysis for learning style classification using brain asymmetry. Proceedings of the 2011 7th IEEE International Conference on Signal Processing and its Applications (CSPA), March 4-6, 2011, IEEE, Malaysia, Perak, ISBN:978-1-61284-414-5, pp: 310-313.

Rashid, N.A., M.N. Taib, S. Lias, N. Sulaiman and Z.H. Murat et al., 2011. Learners learning style classification related to IQ and stress based on EEG. Procedia Soc. Behav. Sci., 29: 1061-1070.
Direct Link  |  

Rashid, N.B.A., M.N.B. Taib, Z.B.H. Murat, S.B. Lias and N.B. Sulaiman, 2014. Summative EEG alpha classification relates learning style and openness. Proceedings of the IEEE Conference on Global Engineering Education Conference (EDUCON), April 3-5, 2014, IEEE, Shah Alam, Malaysia, ISBN:978-1-4799-3191-0, pp: 807-810.

Robinson, O.C., 2014. Sampling in interview-based qualitative research: A theoretical and practical guide. Qual. Res. Psychol., 11: 25-41.
CrossRef  |  Direct Link  |  

Rossini, P.M., D. Burke, R. Chen, L.G. Cohen and Z. Daskalakis et al., 2015. Non-invasive electrical and magnetic stimulation of the brain, spinal cord, roots and peripheral nerves: Basic principles and procedures for routine clinical and research application; An updated report from an IFCN Committee. Clin. Neurophysiol., 126: 1071-1107.
PubMed  |  Direct Link  |  

Sanei, S. and J. Chambers, 2007. EEG Signal Processing. John Wiley & Sons, Hoboken, New Jersey, USA.,.

Schmeck, R.R., 2013. Learning Strategies and Learning Styles. Springer, New York, USA., ISBN:978-1-4899-2120-8, Pages: 368.

Teplan, M., 2002. Fundamentals of EEG measurement. Meas. Sci. Rev., 2: 1-11.
Direct Link  |  

VanVorhis, W., R. Carmen and B.L. Morgan, 2007. Understanding power and rules of thumb for determining sample sizes. Tutorials Quant. Methods Psychol., 3: 43-50.
Direct Link  |  

Design and power by Medwell Web Development Team. © Medwell Publishing 2024 All Rights Reserved