Wednesday, June 1, 2022

Workshops and Opening Reception

8am Breakfast for workshop participants

9am Workshops begin

Educational Nonlinear Stories with Twine (online workshop; half-day: 9am-12pm)
Organizers: May Kristine Jonson Carlon, Donn Emmanuel Gonda, Eden Mariquit Andrews, John Maurice Gayed, Robert Anthony Olexa and Jeffrey S. Cross

Learnersourcing: Student-generated Content @ Scale (half-day: 1-4pm)
Organizers: Steven Moore, John Stamper, Christopher Brooks, Paul Denny and Hassan Khosravi

Third Annual Workshop on A/B Testing and Platform-Enabled Learning Research (full-day: 9am-4pm)
Organizers: Steven Ritter, Neil Heffernan, Joseph Jay Williams, Klinton Bicknell, Derek Lomas, Jeremy Roschelle, Ben Motz, Danielle McNamara, Richard Baraniuk, Debshila Basu Mallick, Rene Kizilcec and Ryan Baker

Achieving “A’s for All (as time and interest allow)” (full-day: 9am-4pm)
Organizers: Dan Garcia, Craig Zilles, Connor McMahon, Yuan Garcia, Mariana Silva and Matthew West

12-1pm Lunch for workshop participants

1pm Workshops continue

4.15pm Transit by metro (F train) to Hudson yards

5pm The Edge visit (buy discounted ticket during registration, or on the day)

6-9pm Opening Reception with an incredible view of Manhattan and Poster Presentation hosted by HPI/SAP (10 Hudson Yards; a 30mins subway ride from the Verizon Center) 

Thursday, June 2, 2022

Papers, Panel, Poster Reception

7.30am Breakfast in the foyer

8.30am Welcome from Greg Morrisett, Dean and Vice Provost of Cornell Tech

9am Paper Session: Recommendation and Personalisation @ Scale
* Automatic Interpretable Personalized Learning (Ethan Prihar, Aaron Haim, Adam Sales, Neil Heffernan)
* Heterogeneity of treatment effects of a video recommendation system for algebra (Walter Leite, Huan Kuang, Zuchao Shen, Nilanjana Chakraborty, George Michailidis, Sidney D’Mello, Wanli Xing)
* Post Recommendation System Impact on Student Participation and Performance in an Online AI Graduate Course (India Irish, Saurabh Chatterjee, Chirag Tailor, Roy Finkelberg, Rosa Arriaga, Thad Starner)

10.30am Short Break with Refreshments

10.45am Paper Session: Analytics @ Scale
* Incorporating Training, Self-monitoring and AI-Assistance to Improve Peer Feedback Quality (Ali Darvishi, Hassan Khosravi, Solmaz Abdi, Shazia Sadiq, Dragan Gasevic)
* A scenario-based exploration of expected usefulness, privacy concerns, and adoption likelihood of learning analytics (Xiaotian Li, Mary Beth Rosson, Jenay Robert)
* RLens: A Computer-aided Visualization System for Supporting Reflection on Language Learning under Distributed Tutorship (Meng Xia, Yankun Zhao, Jihyeong Hong, Mehmet Hamza Erol, Taewook Kim, Juho Kim)

12.15pm Lunch in the foyer and courtyard

1.15pm Panel: Funding Learning at Scale, with Kumar Garg (Schmidt Futures), Mark Schneider (IES), Lee Zia (NSF), moderated by Susan Singer (Rollins College)

2.15pm Paper Session: Academics @ Scale
* Digital Education for All: Multi-University Study of Increasing Competent Student Admissions at Scale (Nea Pirttinen, Juho Leinonen, Kjell Lemström, Annemari Auvinen, Vesa Lappalainen, Katja Tynkkynen, Henrik Hedberg, Mikko-Jussi Laakso)
* Meet Me in the Middle: Retention in a “MOOC-Based” Degree Program (David Joyner)

3.15pm Short Break with Refreshments

3.30pm Paper Session: CS Education @ Scale
* Function Names: Quantifying the Relationship Between Identifiers and Their Functionality to Improve Them (Charis Charitsis, Chris Piech, John Mitchell)
* LEGenT: Localizing Errors and Generating Test-cases for CS1 (Nimisha Agarwal, Amey Karkare)
* Using NLP to Quantify Program Decomposition in CS1 (Charis Charitsis, Chris Piech, John Mitchell)

5-6.30pm Reception: Work-in Progress Posters and Demos (foyer and courtyard)