*************** Joining the workshop event *************** Zoom Meeting: https://zoom.us/j/91762512765?pwd=M2ZqdGhMNVh3WHVQeVFzT1BWL3Q0Zz09 Meeting ID: 917 6251 2765 Passcode: 329353 Disclaimer about EDM registration: Participation is limited to those who are registered with EDM'21. To be admitted to the Zoom meeting room, please complete the registration at https://educationaldatamining.org/edm2021/registration/. Disclaimer about Recording: Online talks on Zoom will be recorded and made available on a publicly accessible website. This is for the benefit of participants who are unable to join live. If you do not agree to the recording or publishing of your voice or video stream as part of the workshop, you should deactivate your microphone and camera on Zoom. In this case, you can still view the live sessions and engage with the speakers through text chat in Zoom. *************** Schedule *************** Schedule is tentative. Workshop is on 29 June. Times are in CEST, i.e., Paris local time (15:00 CEST is 09:00 US Eastern time). 14:55-15:00 Welcome and opening remarks 15:00-15:30 SPEAKER: Tanja Kaser, EPFL (Lausanne, Switzerland) TITLE: "Modeling and Individualizing Learning in Open-Ended Learning Environments" 15:30-16:00 SPEAKER: Simon Woodhead, Eedi (London, UK) TITLE: "Eedi and the NeurIPS 2020 Education Challenge Dataset" 16:00-16:30 SPEAKER: Jose Miguel Hernandez Lobato, University of Cambridge (Cambridge, UK) TITLE: "Deconfounding Reinforcement Learning in Observational Settings" 16:30-17:00 Discussion with speakers: Tanja, Simon, and Jose 17:00-17:10 Short break 17:10-18:00 Spotlight presentations (1) Emmy Liu: "Statistical Consequences of Dueling Bandits" (2) Tristan Maidment: "Capturing Student-Robot Interactions for a Data-Driven Educational Dialogue RL Environment" (3) Samuel Spaulding: "Towards Transferrable Personalized Student Models in Educational Games" (4) Benoit Choffin: "Extending Adaptive Spacing Heuristics to Multi-Skill Items" (5) Anna Rafferty: "Getting Too Personal(ized): The Importance of Feature Choice in Online Adaptive Algorithms" 18:00-18:30 Break 18:30-19:00 SPEAKER: Min Chi, North Carolina State University (Raleigh, USA) TITLE: "The Impact of Pedagogical Policies on Student Learning: A Reinforcement Learning Approach" 19:00-19:30 SPEAKER: Emma Brunskill, Stanford University (Stanford, USA) TITLE: "More Practical Reinforcement Learning Inspired by Challenges in Education and Other Societally-Focussed Applications" 19:30-20:00 Discussion with speakers: Min, Emma, Joe, and Shayan 20:00-20:10 Short break 20:10-21:00 Spotlight presentations (6) Jacob Whitehill: "Approximately Optimal Teaching of Approximately Optimal Learners" (7) Christopher Maclellan: "Learning Expert Models for Educationally Relevant Tasks using Reinforcement Learning" (8) Jithendaraa Subramanian: "Deep Reinforcement Learning to Simulate, Train, and Evaluate Instructional Sequencing Policies" (9) Fahmid Morshed Fahid: "Adaptively Scaffolding Cognitive Engagement with Batch Constrained Deep Q-Networks" (10) Ethan Prihar: "Integrating Reinforcement Learning into the ASSISTments Platform" 21:00-21:30 SPEAKER: Joe Austerweil, University of Wisconsin-Madison (Madison, USA) TITLE: "Is Reinforcement Just a Value to be Maximized?" 21:30-22:00 SPEAKER: Shayan Doroudi, University of California Irvine (Irvine, USA) TITLE: "Reinforcement Learning for Instructional Sequencing: Learning from Its Past to Meet the Challenges of the Future" 22:00-22:05 Closing remarks ****************************************