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| 2020 | Analyzing K-12 Blended MOOC Learning Behaviors. Robert Gold, Erik Hemberg, Una-May O'Reilly |
| 2020 | Analyzing Pre-Existing Knowledge and Performance in a Programming MOOC. Hannah Burd, Ana Bell, Erik Hemberg, Una-May O'Reilly |
| 2020 | Artificial Intelligence for Video-based Learning at Scale. Kyoungwon Seo, Sidney S. Fels, Dongwook Yoon, Ido Roll, Samuel Dodson, Matthew Fong |
| 2020 | Automated Generation of Learning Paths at Scale. Julianna Zhuxin Jia, Gulsen Kutluoglu, Chuong B. Do |
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| 2020 | Building an Infrastructure for Computer Science Education Research and Practice at Scale. Peter Brusilovsky, Ken Koedinger, David A. Joyner, Thomas W. Price |
| 2020 | Challenges of Online Learning in Nigeria. Kabir Abdulmajeed, David A. Joyner, Christine A. McManus |
| 2020 | Characterizing Teacher Connections in Online Social Media: A Case Study on Pinterest. Hamid Karimi, Kaitlin T. Torphy, Tyler Derr, Kenneth A. Frank, Jiliang Tang |
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| 2020 | Developing Digital Clinical Simulations for Large-Scale Settings on Diversity, Equity, and Inclusion: Design Considerations for Effective Implementation at Scale. Elizabeth Borneman, Joshua Littenberg-Tobias, Justin Reich |
| 2020 | Differential Assessment, Differential Benefit: Four-year Problem Roulette Analysis of STEM Practice Study. Noah Weaverdyck, Dhayaa Anbajagane, August E. Evrard |
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| 2020 | Evaluating Bayesian Knowledge Tracing for Estimating Learner Proficiency and Guiding Learner Behavior. Shreyansh P. Bhatt, Jinjin Zhao, Candace Thille, Dawn Zimmaro, Neelesh Gattani |
| 2020 | Examinator: A Plagiarism Detection Tool for Take-Home Exams. Raghav Apoorv, Akshay Dahiya, Uma Sreeram, Bharat Rahuldhev Patil, India Irish, Rocko Graziano, Thad Starner |
| 2020 | Examining Sources of Variation in Student Confusion in College Classes. Youjie Chen, René F. Kizilcec |
| 2020 | Explanation Mining. Bhavya, ChengXiang Zhai |
| 2020 | Global Learning @ Scale. David A. Joyner, May Kristine Jonson Carlon, Jeffrey S. Cross, Eduardo Corpeño, Rocael Hernández Rizzardini, Oscar Rodas, Dhawal Shah, Manoel Cortes Mendez, Thomas Staubitz, José A. Ruipérez-Valiente |
| 2020 | Guidance on How Learning at Scale Can be Made More Accessible. Tina Papathoma, Rebecca Ferguson, Francisco Iniesto, Irina Rets, Dimitrios Vogiatzis, Victoria Murphy |
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| 2020 | Identifying Preparatory Courses that Predict Student Success in Quantitative Subjects. Glenn M. Davis, Abdallah A. AbuHashem, David Lang, Mitchell L. Stevens |
| 2020 | Inferring Creativity in Visual Programming Environments. Anastasia Kovalkov, Avi Segal, Kobi Gal |
| 2020 | Informal Learning Communities: The Other Massive Open Online 'C'. Will Hudgins, Michael Lynch, Ash Schmal, Harsh Sikka, Michael Swenson, David A. Joyner |
| 2020 | Interpretable Models Do Not Compromise Accuracy or Fairness in Predicting College Success. Catherine Kung, Renzhe Yu |
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| 2020 | Introducing Alexa for E-learning. Jinjin Zhao, Shreyansh P. Bhatt, Candace Thille, Dawn Zimmaro, Neelesh Gattani, Josh Walker |
| 2020 | L@S'20: Seventh ACM Conference on Learning @ Scale, Virtual Event, USA, August 12-14, 2020 David A. Joyner, René F. Kizilcec, Susan Singer |
| 2020 | Learnersourcing at Scale to Overcome Expert Blind Spots for Introductory Programming: A Three-Year Deployment Study on the Python Tutor Website. Philip J. Guo, Julia M. Markel, Xiong Zhang |
| 2020 | Learning Analytics Dashboard for Problem-based Learning. Zilong Pan, Chenglu Li, Min Liu |
| 2020 | Learning Engineering @ Scale. Erin Czerwinski, Jim Goodell, Robert A. Sottilare, Ellen Wagner |
| 2020 | Learning to Cheat: Quantifying Changes in Score Advantage of Unproctored Assessments Over Time. Binglin Chen, Sushmita Azad, Maxwell Fowler, Matthew West, Craig B. Zilles |
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| 2020 | Predicting Applicant Admission Status for Georgia Tech's Online Master's in Analytics Program. Shawn Staudaher, Jeonghyun Lee, Farahnaz Soleimani |
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| 2020 | Understanding Reading Behaviors of Middle School Students. Effat Farhana, Teomara Rutherford, Collin F. Lynch |
| 2020 | Understanding Student Experience: A Pathways Model. Chris Edwards, Mark Gaved |
| 2020 | Understanding the Implications of the Use of Intelligent Tutoring Systems in Driver Training. Al-Ahad Ekram |
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