UCL KL Seminars: Data mining for performance assessment and adaptive intelligent tutoring of scientific inquiry
UCL KL Seminars: Data mining for performance assessment and adaptive intelligent tutoring of scientific inquiry
In this seminar Professor Janice Gobert gives a framework for and overview of studies on learning with visual representations in semantically-rich domains.
She addresses 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 provides 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).
She addresses 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 provides 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).
Laura Benton | |
355 | |
5/25/2018 | |
00:50:44 | |
Janice Gobert, UCL Knowledge Lab, adaptive intelligent tutoring systems, data mining, science, visualisations | |
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