Learning to Learn: How Can AI Unlock Learning Patterns?

The Trinity Long Room Hub, Arts and Humanities Research Institute

A roundtable discussion hosted by Dr Qian Xiao as part of the Human+ Tech Talks series.

Trinity Long Room Hub

Online education has become a mainstream form of education in many countries during the pandemic. The market for AI-enhanced personalized tutoring systems is therefore growing in great demand and popularity. This allows recording rich information of learner&#x27;s interactions, thus opening up the possibilities of studying &#x27;learner&#x27;s behavior at scale using machine learning techniques. In this seminar, we will share the challenges and opportunities when building personalized online education systems. We&#x27;ll also showcase tangible examples of how we can leverage deep neural networks and large volumes of behavioral data to tackle these challenges.Our discussion will cover the following topics:● What value has personalization brought for education?● What does that look like as an AI-enhanced personalized education system in the future?● How to compare learner&#x27;s performance in the long-run?● Cognition gaps between human understanding and neural networks.● Discovering user behavior patterns that have potential value for pedagogical practices. Speakers: Dr Qian Xiao, Human+ Programme Fellow; Prof Vincent Wade, Chair of Computer Science (1990), Trinity College Dublin; Dr Keith Johnston, Assistant Professor, Education, Trinity College Dublin. The discussion will be facilitated by Peter Gillis, Learnovate.Please indicate if you have any access requirements, such as ISL/English interpreting, so that we can facilitate you in attending this event. Contact: rmackenz@tcd.ie

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Learning to Learn: How Can AI Unlock Learning Patterns?

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Learning to Learn: How Can AI Unlock Learning Patterns?

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