Actions and Detail Panel
IBM Watson AI XPRIZE: Education
Wed, 19 October 2016, 6:00 PM – 9:00 PM EDT
How many times have you heard or said that the education system was broken?
Well, AI has been poised to help both students and teachers get more out of educational experiences, whether in institutions or online. From tackling challenges related to adaptive learning, to those related to valuable content creation and delivery, quality assessment, accessibility, or e-learning, there is so much to do in the education field.
Join us on October 19th, 2016 for a roundtable where you will be able to brainstorm and ask all the questions you have in terms of your edtech project.
Who is this for? - This is an event for anyone seriously considering being a part of the competition or have already registered!
6:00PM - Doors Open
6:30PM - Roundtable starts
7:45PM - Networking
8:30PM - End
Dr. Michel Desmarais - Polytechnique Montreal
Research interests: student and user modeling, user-centered software engineering, Human-Computer Interaction, probabilistic modeling, recommender interfaces
His field of expertise is in the domains of Human-Computer Interactions, e-learning, and Artificial Intelligence. He has 15 years of experience in software project management. He was principal researcher of the Human-Computer Interaction and Computerized Learning Environments groups at the Computer Research Institute of Montreal between 1990 and 1998, where he directed a research program in HCI and computer assisted learning, and was involved in a number of research projects in close collaboration with private corporations. He is the editor of Journal of Educational Data Mining.
Dr. Susanne Lajoie - McGill University
Research interests: design and evaluation of intelligent tutoring systems for classroom and real-world applications, computer-based learning and dynamic assessment in mathematics and science, medical education and informatics, cognition and instruction, Individual differences
She is a Canadian Research Chair Tier 1 in Advanced Technologies for Learning in Authentic Settings in the Department of Educational and Counselling Psychology at McGill University. Dr. Lajoie has engaged in a wide array of innovative research and scholarly activities where she designs technology rich learning environments for educational and professional practices. She uses a cognitive approach to identify learning trajectories that help novice learners become more skilled in the areas of science, statistics, and medicine. She has designed effective computer based learning environments in these domains based on her research findings.
Dr. Roger Nkambou - UQAM
Intérêts de recherche: systèmes à base de connaissances, représentation des connaissances, agents intelligents, systèmes tutoriels intelligents, modélisation des usagers, agents affectifs, fouille de donnée & découverte des connaissances
Il est le directeur du programme de doctorat en informatique cognitive et a été le directeur du laboratoire GDAC (Gestion, Diffusion et Acquisition de Connaissances) jusqu’en 2010. Depuis plus de 15 ans, Dr. Nkambou a activement contribué au développement de la recherche et de nouvelles solutions technologiques dans les domaines suivants : ingénierie des connaissances, ingénierie des systèmes intelligents, architectures d’agents cognitifs, modèles d'agents affectifs et systèmes d’apprentissage collaboratifs. Il a notamment contribué à l’élaboration d'outils auteurs pour la construction de systèmes tutoriels intelligents et d’environnements collaboratifs dédiés à la formation.