Andy W. H. KHONG
School of Electrical and Electronic Engineering
Assistant Chair (Outreach)
Office: +65 6790 6008
Andy Khong is currently an Assistant Professor in the School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore. Prior to that, he obtained his Ph.D. ('02-'05) from the Department of Electrical and Electronic Engineering, Imperial College London, after which he also served as a research associate ('05-'08) in the same department. He obtained his B.Eng. ('98-'02) in Nanyang Technological University in Singapore.
Andy’s research interest is in machine learning algorithms and he has applied his work for acoustic applications and more recently for education data mining applications. More specifically, his current research involves in the use of educational data mining and machine learning tools to assess a student’s non-cognitive competencies (motivation, resilience, self-efficacy) by analyzing how students interact with existing e-learning systems. The outcome of the research will facilitate individualized learning, track and manage each student’s progress so as to deepen an instructor’s understanding of why and how students learn better or worse, what could be done to guide or motivate them to learn.
Andy currently serves as an Associate Editor in the Journal of Multidimensional Systems and Signal Processing (Springer). He was a visiting professor at UIUC in 2012 under the Tan Chin Tuan Fellowship. He is the author and co-author of two papers awarded the "Best Student Paper Awards" and is a receipient of the Junior Chambers International "Ten Outstanding Young Persons Honouree Award 2011" and the Institute of Singapore "Prestigious Engineering Achievement Award 2012."
- Machine learning techniques and algorithms
- e-learning platforms
- Non-cognitive competencies (motivation)
- Human behavior for e-learning applications
- Behavioural analytics
Research Interest in the Neuroscience of Learning and Education
With the introduction of e-learning systems, educators are finding it increasingly more challenging to understand their students. In addition, it is well-known that non-cognitive competencies developed during adolescence have significant and lasting impact on success in life. These non-cognitive competencies include for example motivation, self-efficacy, effort, pro-social/anti-social behaviors, resilience and self-regulated learning.
Since last year, two Singapore schools have participated in pilot study where approximately 150 students were involved. Each participant were asked to go through e-learning materials and learning behaviours are being tracked. In total nearly 80,000 logs were generated and data analytics were being performed. Results were collated and teachers feedback were used to verify the analysis. Two more schools will participate in the upcoming semester.