*************** Schedule ***************
The workshop is on 1 March 2022 (Tuesday). Times are in US Eastern Time (ET). More details can be found at https://rl4ed.org/aaai2022/

08:55-09:00 US-ET       Welcome and opening remarks

09:00-09:30 US-ET       INVITED TALK by Simon Woodhead, Eedi (London, UK)
                        TITLE: "Eedi Research - Open Data and a Platform for Running Experiments"

09:30-10:00 US-ET       INVITED TALK by Manuel Lopes, Instituto Superior Tecnico (Lisbon, Portugal)
                        TITLE: "Learning and Teaching in Markov Decision Problems"

10:00-10:10 US-ET       Buffer time / short break

10:10-10:30 US-ET       PRESENTATION by Alexandra Moringen
                        TITLE: "Optimizing a Scaffold to Guide Motor Skill Learning"

10:30-11:30 US-ET       SPOTLIGHTS 
                        (1) Fabrice Popineau: "Extending Adaptive Spacing Heuristics to Multi-Skill Items"
                        (2) Angela Zavaleta Bernuy: "Using Adaptive Experiments to Rapidly Help Students"
                        (3) Sahan Bulathwela: "TrueLearn: A Family of Bayesian Algorithms to Match Lifelong Learners to Open Educational Resources"
                        (4) Sahan Bulathwela: "X5Learn: A Personalised Learning Companion at the Intersection of AI and HCI"
                        (5) Fuhua Lin: "Multi-Armed Bandit Algorithms for Adaptive Learning: A Survey"

11:30-11:40 US-ET       Buffer time / short break

11:40-12:00 US-ET       PRESENTATION by Androniki Sapountzi
                        TITLE: "Towards Approximately Optimal Assessments -- A Tractable Methodology"

12:00-12:30 US-ET       INVITED TALK by Tanja Kaser, EPFL (Lausanne, Switzerland)
                        TITLE: "Modeling and Individualizing Learning in Open-Ended Learning Environments"

12:30-13:00 US-ET       Break

13:00-13:30 US-ET       INVITED TALK by Thomas W. Price, North Carolina State University (Raleigh, NC, USA)
                        TITLE: "Computing Education: Challenges, Opportunities and Approaches for Data-driven AI"

13:30-14:00 US-ET       INVITED TALK by Mark Ho, Princeton University (Princeton, NJ, USA)
                        TITLE: "Bridging Reinforcement Learning and Intuitive Pedagogy"

14:00-14:10 US-ET       Buffer time / short break

14:10-15:00 US-ET       SPOTLIGHTS 
                        (6) James Bywater: "Differential Segmentation of Categorical Log Data from Open-Ended Learning Environments"
                        (7) Christopher Maclellan: "Learning Expert Models for Educationally Relevant Tasks using Reinforcement Learning"
                        (8) Fahmid Morshed Fahid: "Adaptively Scaffolding Cognitive Engagement with Batch Constrained Deep Q-Networks"
                        (9) Anup Shakya: "Student Strategy Prediction using a Neuro-Symbolic Approach"

15:00-15:10 US-ET       Buffer time / short break

15:10-15:30 US-ET       PRESENTATION by Song Ju
                        TITLE: "Identifying Critical Pedagogical Decisions Using Long-Short Term Rewards"

15:30-16:00 US-ET       INVITED TALK by Ethan Prihar, Worcester Polytechnic Institute (Worcester, MA, USA)
                        TITLE: "Attempting to Personalize at Scale using Multi-Armed Bandit Algorithms"

16:00-16:05 US-ET       Closing remarks
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