Department of Education Studies
Faculty of Social Sciences
Hong Kong Baptist University
Learning Sciences is a state-of-the-art multi-disciplinary area involving expertise in education, cognitive psychology, educational psychology, neuroscience, computer science and technology. Learning Sciences explores understanding of human learning processes with scientific research methodologies, aiming to optimize instructional techniques and pedagogies in educational settings. The Centre for Learning Sciences (CLS) intends to contribute to the education community through knowledge transfer and technology development for the improvement of student learning environment. It is hoped that by partnership with schools and NGOs, we can provide support to teacher training, parent education and other community services.
1. The CLS aims at promoting collaboration among scholars and practitioners from multidisciplinary areas, including language acquisition, math education, music education, liberal studies, neuroscience, psychology, linguistics and computer technology, to translate research findings and theories to evidence-based practices in education.
2. In partnership with kindergartens, schools, and NGOs, the CLS carries out projects to investigate teaching and learning of students with diverse needs. The outcomes of the projects will inform frontline practitioners the methodologies to enhance teaching and learning performance.
Members of CLS
The Centre for Learning Sciences is part of the Department of Education Studies under the Faculty of Social Sciences of the Hong Kong Baptist University.
Director: Dr. Ming Ann Lui
Associate Director: Dr. Yiu-Kei Tsang
Lui, M., So, W. C., & Tsang, Y. K. (2018). Neural Evidence for Reduced Automaticity in Processing Emotional Prosody among Men with High Levels of Autistic Traits. Physiology & Behavior, 196, 47-58. [2017 JCR IF=2.52; Q1 in Philosophy (SCImago)]
Lui, M., Lui, K. F.H., Wong, A. C. N., & Rosenfeld, J. P. (2018). Suppression of 12-Hz SSVEPs when Viewing Familiar Faces: An Electrophysiological Index to Detect Recognition. International Journal of Psychophysiology, 133, 159-168. [2017 JCR IF=2.87]
Tsang, Y. K., Huang, J., Lui, M., Xue, M., Chan, Y. W. F., Wang, S., & Chen, H. C. (2017). MELD-SCH: A megastudy of lexical decision in simplified Chinese. Behavior Research Methods, 1-15. [2017 JCR IF = 3.60; Q1 in Psychology Experimental (JCR)]
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Fax: (852) 3411 7894