References

Anonymous, 2016. Quick facts 2016: Malaysia educational statistics. Ministry of Education Malaysia, Kuala Lumpur, Malaysia.

Bhatti, A.M., M. Majid, S.M. Anwar and B. Khan, 2016. Human emotion recognition and analysis in response to audio music using brain signals. Comput. Hum. Behav., 65: 267-275.
CrossRef  |  Direct Link  |  

Chen, L.C., P. Sandmann, J.D. Thorne, C.S. Herrmann and S. Debener, 2015. Association of concurrent fNIRS and EEG signatures in response to auditory and visual stimuli. Brain Topogr., 28: 710-725.
CrossRef  |  PubMed  |  Direct Link  |  

Feldman, J., A. Monteserin and A. Amandi, 2015. Automatic detection of learning styles: State of the art. Artif. Intell. Rev., 44: 157-186.
CrossRef  |  Direct Link  |  

Fleming, N.D. and C. Mills, 1992. Not another inventory, rather a catalyst for reflection. Improve Acad., 11: 137-155.
CrossRef  |  Direct Link  |  

Fleming, N.D., 2006. Teaching and Learning Styles: VARK Strategies. 2nd Edn., N.D. Fleming, Christchurch, New Zealand, Pages: 139.

Gevins, A. and M.E. Smith, 2000. Neurophysiological measures of working memory and individual differences in cognitive ability and cognitive style. Cereb. Cortex, 10: 829-839.
CrossRef  |  PubMed  |  Direct Link  |  

Gilakjani, A.P. and S.M. Ahmadi, 2011. The effect of visual, auditory and kinaesthetic learning styles on language teaching. Proceedings of the 2011 International Conference on Social Science and Humanity, February 26-28, 2011, IACSIT Press, Singapore, pp: V2-469-V2-472.

Hamiz, M., M. Bakri, N. Kamaruddin and A. Mohamed, 2018. Assessment analytic theoretical framework based on learners continuous learning improvement. Indonesian J. Electr. Eng. Comput. Sci., 11: 682-687.
Direct Link  |  

James, W.B. and D.L. Gardner, 1995. Learning styles: Implications for distance learning. N. Directions Adult Continuing Educ., 1995: 19-31.
CrossRef  |  Direct Link  |  

Jenke, R., A. Peer and M. Buss, 2014. Feature extraction and selection for emotion recognition from EEG. IEEE. Trans. Affective Comput., 5: 327-339.
CrossRef  |  Direct Link  |  

Leutner, D., 2014. Motivation and emotion as mediators in multimedia learning. Learn. Instruction, 29: 174-175.
CrossRef  |  Direct Link  |  

Liew, S.C., J. Sidhu and A. Barua, 2015. The relationship between learning preferences (styles and approaches) and learning outcomes among pre-clinical undergraduate medical students. BMC. Med. Educ., 15: 1-7.
CrossRef  |  PubMed  |  Direct Link  |  

UNESCO., 2015. Education for All 2015: National review report Malaysia. Ministry of Education Malaysia (MOE), UNESCO, Paris, France. https://unesdoc.unesco.org/ark:/48223/pf0000229719

Wang, X.W., D. Nie and B.L. Lu, 2014. Emotional state classification from EEG data using machine learning approach. Neurocomput., 129: 94-106.
Direct Link  |  

Willingham, D.T., E.M. Hughes and D.G. Dobolyi, 2015. The scientific status of learning styles theories. Teach. Psychol., 42: 266-271.