Data mining for performance assessment and adaptive intelligent tutoring of scientific inquiry
1:30 pm to 2:30 pm, 23 May 2018
UCL Knowledge Lab, 23-29 Emerald St, London WC1N 3QS
In this seminar Professor Janice Gobert gives a framework for and overview of studies on learning with visual representations in semantically-rich domains.
She will address how the methodological techniques available today, i.e. data mining, are transformative in terms of an approach for rigorously addressing how students learn from/with visualisations and how we can personalise these processes for students.
Lastly, Professor Gobert will provide an overview and demonstration of the current state of both Inq-ITS, an Inquiry Intelligent Tutoring System designed using evidence-centered design, and Inq-Blotter, its accompanying teacher alerting dashboard (www.inqits.com).
About the speaker
Professor Janice Gobert is a Professor of Learning Sciences and Educational Psychology at Rutgers Graduate School of Education. Her research areas are intelligent tutoring systems for science, skill acquisition, performance assessment via log files and educational data mining, and eye tracking. Gobert holds 4 patents for her work in the areas of skill assessment and eye tracking.
This event is free and open to all. However, if you are external to UCL please email Laura Benton (email@example.com) to register. Note that this seminar starts one hour later than usual.