Ivon Arroyo
 Associate Professor
                            Social Science & Policy Studies                                                        
Learning Sciences and Technologies, Centre for (CLST)
                                                        Hong Kong
                        
Biography
A true hybrid across disciplines, professor Arroyo specializes in Learning Sciences, Computer Science and Educational/Cognitive Psychology. Her expertise is in the design of novel technologies for learning and assessment for mathematics, for students throughout the K-12 level. She and her team create intelligent tutoring systems that automatically assess students’ math skills, affective states and metacognitive states, respond to students on the spot, and report strengths and weaknesses (in real time) to the teacher, as students are working on computers or mobile devices. Her group also works on Wearable Learning, the use of mobile electronic devices to enable multi-player educational math games that can be used indoors or outdoors, involving physical learning --measurement gestures, and physical movement. Professor Arroyo enjoys teaching at the graduate and undergraduate level because of the opportunity to impart knowledge and skills to students, as well as mentor a new generation of Learning Scientists that have dual strengths in computation and core learning sciences, allowing for an invaluable combination of technological innovation with theoretical knowledge of how people learn.
Research Interest
Multimedia learning Wearable learning and e-Textiles Mathematics education Development of abstract thought K-12 Affect and learning Culturally-congruent technologies for learning Instructional strategy Didactics in learning systems Learning with novel technologies Intelligent tutoring systems Personalized learning systems Individual differences Learner characteristics and learning Educational data mining Student modeling
Publications
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                            Inferring learning and attitudes from a Bayesian Network of log file data. 
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                            Affect-aware tutors: recognising and responding to student affect 
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                            Emotion Sensors Go To School. I Arroyo, DG Cooper, W Burleson, BP Woolf, K Muldner, R Christopherson AIED 200, 17-24 

