February 9, 2021
9:00am to 6:30pm ET
Imagining
Post-COVID
Education with AI
at the 35th AAAI Conference
on Artificial Intelligence (2021)
Thank you for attending the AAAI-2021 Workshop on AI Education!
A One-Day Workshop on the Future of AI Education
COVID-19 has brought upon us the inevitable transformation towards virtual education. The ensuing need for scalable, personalized learning systems has led to an unprecedented demand for understanding large-scale educational data. In this workshop, we invited AIEd enthusiasts from all around the world through three different channels. First, we called for papers related to important AIEd topics that can help us imagine what new education will look like. Second, we proposed various AIEd shared tasks using the largest public education dataset, EdNet, which contains 123M interactions from 1M+ students. Finally, we hosted a global challenge on Kaggle for a fair comparison of state-of-the-art Knowledge Tracing models and invited technical reports from winning teams. Through these initiatives, we aim to provide a common ground for researchers to share their cutting-edge insights on AIEd and encourage the development of practical and large-scale AIEd methods of lasting impact.
Important Dates
November23, 2020:Workshop paper submission dueDecember 18, 2020:Workshop paper notificationsJanuary 7, 2021:End of Kaggle AIEd Challenge 2020January 15, 2021:Camera-ready deadline for papersFebruary 2, 2021:AAAI-2021 Conference beginsFebruary9, 2021:TIPCEWorkshopdate
Accepted Papers
Best Papers (2 papers)
• Paper 1: "FitVid: Towards Development of Responsive and Fluid Video Content Adaptation"
(Jeongyeon Kim and Juho Kim)
(Jeongyeon Kim and Juho Kim)
• Paper 2: "Targeted Feedback Generation for Constructed Response Questions"
(Jinjin Zhao, Kim Larson, Weijie Xu, Neelesh Gattani and Candace Thille)
(Jinjin Zhao, Kim Larson, Weijie Xu, Neelesh Gattani and Candace Thille)
EdNet Shared Task Papers (7 papers)
• Paper 1: "Modeling the EdNet Dataset with Logistics Regression"
(Philip I. Pavlik Jr. and Luke Eglington)
(Philip I. Pavlik Jr. and Luke Eglington)
• Paper 2: "Do We Need to Go Deep? Knowledge Tracing with Big Data"
(Varun Mandalapu, Jiaqi Gong and Lujie Chen)
(Varun Mandalapu, Jiaqi Gong and Lujie Chen)
• Paper 3: "Interpreting Deep Knowledge Tracing Model on EdNet Dataset"
(Deliang Wang, Yu Lu, Qinggang Meng and Penghe Chen)
(Deliang Wang, Yu Lu, Qinggang Meng and Penghe Chen)
• Paper 4: "On the Interpretability of Deep Learning Based Models for Knowledge Tracing"
(Xinyi Ding and Eric Larson)
(Xinyi Ding and Eric Larson)
• Paper 6: An Empirical Comparison of Deep Learning Models for Knowledge Tracing on Large-Scale Dataset
(Shalini Pandey, George Karypis, Jaideep Srivastava)
(Shalini Pandey, George Karypis, Jaideep Srivastava)
• Paper 7: Evaluating DAS3H on the EdNet Dataset
(Benoit Choffin, Fabrice Popineau, Yolaine Bourda, Jill-Jenn Vie)
(Benoit Choffin, Fabrice Popineau, Yolaine Bourda, Jill-Jenn Vie)
Poster Presentation (6 papers)
Full Workshop Program
Download the Workshop Program here!
All times shown are in US Eastern Time Zone (ET).
Schedule is subject to change.
Schedule is subject to change.
Due to COVID-19, this workshop will take place virtually on Zoom.
1. Future of AI in Education
• 09:00AM Welcome remarks and Workshop Overview by Co-Chair Neil Heffernan (Worcester Polytechnic Institute)
• 09:10AM Talk by YJ Jang (Riiid, main workshop sponsor) on "Turning disruption to opportunity - Transforming education through the pandemic"
• 09:20AM Talk by Thomas Frey (DaVinci Institute) on "Why do I think the biggest internet company 10 years from now will be an education company?"
• 09:35AM Talk by Elizabeth Bailey Kozleski (Stanford Graduate School of Education) on "Reimagining Learning: how Learning Engineering will change education training and practice to improve learning and close gaps in equity and achievement?"
• 09:50AM Talk by Martha Kanter (College Promise and former U.S. Undersecretary of Education for the Obama Administration) on "The need to focus innovation on the students most in need of support, and the schools and campuses that educate the largest numbers of underserved students"
• 10:00AM Panel discussion on "Reflections and Responses from the Field: Getting AI Closer to the Learning Moment"
• Moderator: Michelle Barrett (Edmentum)
• Panelists: John Whitmer (Federation of American Scientists), Cassandra Herring (Branch Alliance for Educator Diversity), Nancy Lewin (ACT Center for Equity in Learning)
2. AIEd Research Presentation
• 10:30AM Invited Paper Presentations (2 papers to be presented)
• Paper 1: "FitVid: Towards Development of Responsive and Fluid Video Content Adaptation" (Jeongyeon Kim and Juho Kim)
• Paper 2: "Targeted Feedback Generation for Constructed Response Questions" (Jinjin Zhao, Kim Larson, Weijie Xu, Neelesh Gattani and Candace Thille)
• 11:30AM Poster Session: 6 papers to be presented (link to papers)
• 1:00PM Algorithm Generalizability and EdNet Shared Task Presentations: 7 papers to be presented (link to papers)
• 3:00PM Session Opening Remarks by Jim Larimore (Riiid Labs)
• 3:10PM Introduction of AIEd Challenge 2020 Winners by Yohan Lee (Riiid Labs)
• 3:15PM Presentation by Top 5 Winning Teams of AIEd Challenge 2020
4. Importance of Data in AI Education
• 3:50PM Talk by Juneyoung (Jason) Park (Riiid AI Research) on "Current state of data in education and call for collaborative efforts to build diverse Ed-data ecosystem"
• 4:00PM Panel discussion on "Funder Perspectives on AI in Education"
• Moderator: Neil Heffernan (Co-Chair, WPI)
• Panelists: Kumar Garg (Schmidt Futures Foundation), Mark Schneider (Institute for Education Sciences, US Dept of Education), Amy Baylor (National Science Foundation), Bryan Richardson (Bill & Melinda Gates Foundation)
• 4:45PM Panel discussion on "Using Data to Advance Human Learning"
• Moderator: Dale Allen (DXTera Institute)
• Panelists: Christopher Brooks (University of Michigan), Ben Motz (Indiana University Bloomington)
5. Human-Centered AI in Education
• 5:30PM Talk by Tess Gilman Posner (AI4ALL) on "The Importance of Diversity in the AI Field"
• 5:35PM Panel discussion on "Getting & Keeping Our Intentions Straight: Ethics and Bias in Education"
• Moderator: Ajoy Vase (Formerly Chan-Zuckerberg Initiative)
• Panelists: Adam Kalai (Microsoft Research), Cassandra Herring (Branch Alliance for Educator Diversity)
• 6:15PM Talk by Co-Chair Paul Kim (Stanford GSE) on “Shaping AIEd for Learners - Survey about the current state of AI in Education"
• 6:25PM Closing remarks by Co-Chairs Neil Heffernan & Paul Kim
Invited Speakers
- Martha Kanter, CEO of College Promise and former U.S. Under Secretary of Education for the Obama Administration
- Nancy Lewin, Senior Director, ACT Center for Equity in Learning, former Executive Director, Association for Latino Administrators and Superintendents
Workshop Co-Chairs
Chief Technology Officer and Associate Dean,
Stanford Graduate School of Education
William Smith Dean's Professor,
Worcester Polytechnic Institute
Workshop Sponsors
Main Sponsor: Riiid Labs, Leading Global AIEd Initiatives
