Academic Profile : Faculty
Asst Prof Komar John
Assistant Professor, National Institute of Education - Physical Education & Sports Science
Email
Ast/P John Komargraduated from the University of Strasbourg (France) in 2008 and joined the University of Rouen (France) to undertake postgraduate studies and complete a PhD in Motor Control and Learning in 2013. He subsequently worked as a data scientist in the sports industry in the UK focusing on performance analysis in football, and came back in academia in 2015 holding an assistant professor position of motor learning in Rouen (France).
DESIGNATION
Assistant Professor
Program leader, Sport Science and Management
DESIGNATION
Assistant Professor
Program leader, Sport Science and Management
Asst/P John Komar's research interests include the functional role of movement variability in investigating motor expertise and motor learning, performance analysis in sport, as well as the application of a constraints-led approach in pedagogy.
He also conducts research and professional education on the use of data analytics and technology in Education and Sport.
Keywords: Complexity, Coordination, Dynamical Systems Theory, Motor Control and Learning, Movement Variability, Nonlinear Pedagogy.
He also conducts research and professional education on the use of data analytics and technology in Education and Sport.
Keywords: Complexity, Coordination, Dynamical Systems Theory, Motor Control and Learning, Movement Variability, Nonlinear Pedagogy.
- An investigation on PE teachers' understanding and enactment of Nonlinear Pedagogy
- International Ipreschooler Surveillance Study Among Asians and otheRs (IISSAAR): screen media use and off-screen be haviours among preschool children living in selected urban cities in some countries in Asia and elsewhere.
- The use of machine learning to enhance teaching-learning experiences in Physical Education| ||Augmented Classroom: AI for automatic detection of regular patterns of teaching behaviours in the classroom (ACAI)
- Using Machine Learning to Quantify Nonlinear Pedagogical Practices
- Racket Spor ts in the near future: how Artificial Intelligence can change the game
- The Effects of An Information Communication and Technologies-Based Intervention Programme on Students' Learning Outcomes of Phy sical Education (PE) in Singapore Schools
- Do Outcome Success, Gender and Motivation Influence Fundamental Movement Skills (FMS) Assessment'
- SCALE-UP: Investigating the effect of modified CCA compe tition format in Singapore Schools
Courses Taught
SS3411 - Motor Control and Learning: from Theory to Practice
SS3010 - Applied Statistics
SS2107 - Research Design and Methods in Physical Activity
APA33Y - Skill Acquisition: form Theory to Practice
SS2105 - Seminars in Current Issues in Sport
SS4011 - Final Year Project
MES900 - Research methods in Exercise and Sports Studies
MES909 - Motor Behavior
APA33Q - Motor Control and Learning From Theory to Practice
APA40B - Academic Exercise
IPE3104 - Psychology and Motor Control
SS3010 - Applied Statistics
SS2107 - Research Design and Methods in Physical Activity
APA33Y - Skill Acquisition: form Theory to Practice
SS2105 - Seminars in Current Issues in Sport
SS4011 - Final Year Project
MES900 - Research methods in Exercise and Sports Studies
MES909 - Motor Behavior
APA33Q - Motor Control and Learning From Theory to Practice
APA40B - Academic Exercise
IPE3104 - Psychology and Motor Control
Supervision of PhD Students
Current:
- Goh Khee (sole): Representative learning design: Does our training truly reflect what is necessary to play the game
- WONG Jaime (co-supervisor): Functional variability and adaptability in human gait: What is the link between brain and behavior?
- LIM Chen (co-supervisor): Constraints on learning dynamics in complex multi-articular coordination
- TAN Zania (sole): The Use of Artificial Intelligence in performance analysis: What Makes an Expert Tennis Player?
- LEE Yi Shin (main): Functional Movement Variability: Between stability, flexibility and adaptability in brain and Behavior
- TAN Julian (sole): Badminton in the Near Future – How Artificial intelligence can inform about technical and tactical competency and optimise the provision of effective feedback to enhance learning?
Completed:
- HE Qixiang (main): Dynamics of Performance in football: Talent identification using match performance statistics
- HACQUES Guillaume (co-supervisor): Perceptivo-motor learning and transfer: effects of learning conditions on exploratory activity during climbing
- PAN Jingwen (co-supervisor): Biomechanics of Cue Sport - Understanding Movement Control and optimising Performance
- ISMAEL Irfan (co-supervisor): Nonlinear Pedagogy And Its Application In Singapore School Sports Co-Curricular Activity
- Goh Khee (sole): Representative learning design: Does our training truly reflect what is necessary to play the game
- WONG Jaime (co-supervisor): Functional variability and adaptability in human gait: What is the link between brain and behavior?
- LIM Chen (co-supervisor): Constraints on learning dynamics in complex multi-articular coordination
- TAN Zania (sole): The Use of Artificial Intelligence in performance analysis: What Makes an Expert Tennis Player?
- LEE Yi Shin (main): Functional Movement Variability: Between stability, flexibility and adaptability in brain and Behavior
- TAN Julian (sole): Badminton in the Near Future – How Artificial intelligence can inform about technical and tactical competency and optimise the provision of effective feedback to enhance learning?
Completed:
- HE Qixiang (main): Dynamics of Performance in football: Talent identification using match performance statistics
- HACQUES Guillaume (co-supervisor): Perceptivo-motor learning and transfer: effects of learning conditions on exploratory activity during climbing
- PAN Jingwen (co-supervisor): Biomechanics of Cue Sport - Understanding Movement Control and optimising Performance
- ISMAEL Irfan (co-supervisor): Nonlinear Pedagogy And Its Application In Singapore School Sports Co-Curricular Activity