| 2017 | A Crowdsourcing Approach to Collecting Tutorial Videos - Toward Personalized Learning-at-Scale. Jacob Whitehill, Margo I. Seltzer |
| 2017 | A Heuristic Method for Large-Scale Cognitive-Diagnostic Computerized Adaptive Testing. Jill-Jênn Vie, Fabrice Popineau, Françoise Tort, Benjamin Marteau, Nathalie Denos |
| 2017 | A Memory-Augmented Neural Model for Automated Grading. Siyuan Zhao, Yaqiong Zhang, Xiaolu Xiong, Anthony Botelho, Neil T. Heffernan |
| 2017 | A Novel Self-Paced Model for Teaching Programming. Jeff Offutt, Paul Ammann, Kinga Dobolyi, Chris Kauffmann, Jaime Lester, Upsorn Praphamontripong, Huzefa Rangwala, Sanjeev Setia, Pearl Y. Wang, Liz White |
| 2017 | A Probabilistic Approach for Discovering Difficult Course Topics Using Clickstream Data. Assma Boughoula, Chase Geigle, ChengXiang Zhai |
| 2017 | A Statistical Framework for Predictive Model Evaluation in MOOCs. Josh Gardner, Christopher Brooks |
| 2017 | A Visual Approach towards Knowledge Engineering and Understanding How Students Learn in Complex Environments. Lauren Fratamico, Sarah Perez, Ido Roll |
| 2017 | Access to Massive Open Online Labs through a MOOC. Wissam Halimi, Christophe Salzmann, Denis Gillet |
| 2017 | Applying and Exploring Bayesian Hypothesis Testing for Large Scale Experimentation in Online Tutoring Systems. Vijaya Dommeti, Douglas Selent |
| 2017 | Authentic Science Inquiry Learning at Scale Enabled by an Interactive Biology Cloud Experimentation Lab. Zahid Hossain, Engin Bumbacher, Paulo Blikstein, Ingmar H. Riedel-Kruse |
| 2017 | CODECAST: An Innovative Technology to Facilitate Teaching and Learning Computer Programming in a C Language Online Course. Rémi Sharrock, Ella Hamonic, Mathias Hiron, Sébastien Carlier |
| 2017 | CROWDLEARNING: Towards Collaborative Problem-Posing at Scale. Alireza Farasat, Alexander G. Nikolaev, Suzanne Miller, Rahul Gopalsamy |
| 2017 | Characterizing ELL Students' Behavior During MOOC Videos Using Content Type. Judith Uchidiuno, Jessica Hammer, Evelyn Yarzebinski, Kenneth R. Koedinger, Amy Ogan |
| 2017 | Collaboration and Teamwork on a MOOC Platform: A Toolset. Thomas Staubitz, Christoph Meinel |
| 2017 | Comment Ranking Diversification in Forum Discussions. Curtis G. Northcutt, Kimberly A. Leon, Naichun Chen |
| 2017 | Congruency, Adaptivity, Modularity, and Personalization: Four Experiments in Teaching Introduction to Computing. David A. Joyner |
| 2017 | Creative Learning @ Scale. Mitchel Resnick, Karen Brennan, Cristóbal Cobo, Philipp Schmidt |
| 2017 | Criteria for Video Engagement in a Biology MOOC. Sera Thornton, Ceri Riley, Mary Ellen Wiltrout |
| 2017 | D.TRUMP: Data-mining Textual Responses to Uncover Misconception Patterns. Joshua J. Michalenko, Andrew S. Lan, Richard G. Baraniuk |
| 2017 | Data-Driven Feedback Generator for Online Programing Courses. Ke Wang, Benjamin Lin, Bjorn Rettig, Paul Pardi, Rishabh Singh |
| 2017 | Deep Knowledge Tracing On Programming Exercises. Lisa Wang, Angela Sy, Larry Liu, Chris Piech |
| 2017 | Demo of Orchestration Graph Engine: Enabling Rich Social Pedagogical Scenarios in MOOCs. Louis Faucon, Stian Håklev, Thanasis Hadzilacos, Pierre Dillenbourg |
| 2017 | Designing Adaptive Assessments in MOOCs. Yigal Rosen, Ilia Rushkin, Andrew M. Ang, Colin Fredericks, Dustin Tingley, Mary Jean Blink |
| 2017 | Detecting Diligence with Online Behaviors on Intelligent Tutoring Systems. Steven Dang, Michael Yudelson, Kenneth R. Koedinger |
| 2017 | Discourse: MOOC Discussion Forum Analysis at Scale. Alexander Kindel, Michael Yeomans, Justin Reich, Brandon M. Stewart, Dustin Tingley |
| 2017 | Do Performance Trends Suggest Wide-spread Collaborative Cheating on Asynchronous Exams? Binglin Chen, Matthew West, Craig B. Zilles |
| 2017 | Enabling Real-Time Adaptivity in MOOCs with a Personalized Next-Step Recommendation Framework. Zachary A. Pardos, Steven Tang, Daniel Davis, Christopher Vu Le |
| 2017 | Enhancing the Experience Application Program Interface (xAPI) to Improve Domain Competency Modeling for Adaptive Instruction. Robert A. Sottilare, Rodney A. Long, Benjamin S. Goldberg |
| 2017 | Epistemic Cognition: A Promising and Necessary Construct for Enriching Large-scale Online Learning Analysis. Petr Johanes |
| 2017 | Experimenting Choices of Video and Text Feedback in Authentic Foreign Language Assignments at Scale. Xiwen Lu, Xiaolu Xiong, Neil T. Heffernan |
| 2017 | Factor Analysis Reveals Student Thinking using the Mechanics Reasoning Inventory. Sunbok Lee, Zhongzhou Chen, David E. Pritchard, Alex Kimn, Andrew Paul |
| 2017 | Formal Forum Triage: Towards the Strategic Selection of Responses to Student Discussion Forums. Nickolas J. G. Falkner, Claudia Szabo, Katrina Falkner |
| 2017 | Full Engagement Educational Framework: A Practical Experience for a MicroMaster. Rocael Hernández Rizzardini, Hector R. Amado-Salvatierra |
| 2017 | Generating Language Activities in Real-Time for English Learners using Language Muse. Jill Burstein, Nitin Madnani, John Sabatini, Dan McCaffrey, Kietha Biggers, Kelsey Dreier |
| 2017 | Getting to Know English Language Learners in MOOCs: Their Motivations, Behaviors, and Outcomes. Selen Türkay, Hadas Eidelman, Yigal Rosen, Daniel T. Seaton, Glenn Lopez, Jacob Whitehill |
| 2017 | Google BigQuery for Education: Framework for Parsing and Analyzing edX MOOC Data. Glenn Lopez, Daniel T. Seaton, Andrew M. Ang, Dustin Tingley, Isaac L. Chuang |
| 2017 | Gradescope: A Fast, Flexible, and Fair System for Scalable Assessment of Handwritten Work. Arjun Singh, Sergey Karayev, Kevin Gutowski, Pieter Abbeel |
| 2017 | Humans and Machines Together: Improving Characterization of Large Scale Online Discussions through Dynamic Interrelated Post and Thread Categorization (DIPTiC). Yi Cui, Wan Qi Jin, Alyssa Friend Wise |
| 2017 | Improving Assessment on MOOCs Through Peer Identification and Aligned Incentives. Dilrukshi Gamage, Mark E. Whiting, Thejan Rajapakshe, Haritha Thilakarathne, Indika Perera, Shantha Fernando |
| 2017 | In-Video Reuse of Discussion Threads in MOOCs. Qian Zhao, Sashank Varma, Joseph A. Konstan |
| 2017 | Incorporating Rich Features into Deep Knowledge Tracing. Liang Zhang, Xiaolu Xiong, Siyuan Zhao, Anthony Botelho, Neil T. Heffernan |
| 2017 | Intelligent Math Tutor: Problem-Based Approach to Create Cognizance. Monika Gupta, Neelamadhav Gantayat, Renuka Sindhgatta |
| 2017 | Learning Engineering: The Art of Applying Learning Science at Scale. Bror Saxberg |
| 2017 | Learning about Learning at Scale: Methodological Challenges and Recommendations. Frans van der Sluis, Tim Van der Zee, Jasper Ginn |
| 2017 | Learning to Code in Localized Programming Languages. Sayamindu Dasgupta, Benjamin Mako Hill |
| 2017 | Long-Term Peer Reviewing Effort is Anti-Reciprocal. Yasmine Kotturi, Andrew Du, Scott R. Klemmer, Chinmay Kulkarni |
| 2017 | MOOC Dropout Prediction: How to Measure Accuracy? Jacob Whitehill, Kiran Mohan, Daniel T. Seaton, Yigal Rosen, Dustin Tingley |
| 2017 | MOOClets: A Framework for Dynamic Experimentation and Personalization. Joseph Jay Williams, Anna N. Rafferty, Samuel G. Maldonado, Andrew M. Ang, Dustin Tingley, Juho Kim |
| 2017 | Mobilizing the Crowd to Create an Open Repository of Research Talks. Rajan Vaish, Sharad Goel, Amin Saberi |
| 2017 | Modeling MOOC Student Behavior With Two-Layer Hidden Markov Models. Chase Geigle, ChengXiang Zhai |
| 2017 | Observing Personalizations in Learning: Identifying Heterogeneous Treatment Effects Using Causal Trees. Biao Yin, Thanaporn Patikorn, Anthony F. Botelho, Neil T. Heffernan |
| 2017 | One Decision Tree is Enough to Make Customization. Hao Wan, Joseph E. Beck |
| 2017 | Orchestration Graphs: Enabling Rich Social Pedagogical Scenarios in MOOCs. Stian Håklev, Louis Faucon, Thanasis Hadzilacos, Pierre Dillenbourg |
| 2017 | Pass the Idea Please: The Relationship between Network Position, Direct Engagement, and Course Performance in MOOCs. Stacey L. Houston II, Katherine A. Brady, Gayathri Narasimham, Douglas H. Fisher |
| 2017 | Preventing Keystroke Based Identification in Open Data Sets. Juho Leinonen, Petri Ihantola, Arto Hellas |
| 2017 | Proceedings of the Fourth ACM Conference on Learning @ Scale, L@S 2017, Cambridge, MA, USA, April 20-21, 2017 Claudia Urrea, Justin Reich, Candace Thille |
| 2017 | ProjectLens: Supporting Project-based Collaborative Learning on MOOCs. Hao Fei Cheng, Bowen Yu, Yeong Hoon Park, Haiyi Zhu |
| 2017 | Robust Evaluation Matrix: Towards a More Principled Offline Exploration of Instructional Policies. Shayan Doroudi, Vincent Aleven, Emma Brunskill |
| 2017 | Scaling Expert Feedback: Two Case Studies. David A. Joyner |
| 2017 | Suggesting a Log-Based Creativity Measurement for Online Programming Learning Environment. Lilach Gal, Arnon Hershkovitz, Andoni Eguíluz Morán, Mariluz Guenaga, Pablo Garaizar |
| 2017 | Taking Informed Action on Student Activity in MOOCs. Ralf Teusner, Kai-Adrian Rollmann, Jan Renz |
| 2017 | Teaching Students to Recognize and Implement Good Coding Style. Eliane Stampfer Wiese, Michael Yen, Antares Chen, Lucas A. Santos, Armando Fox |
| 2017 | Teamscope: Scalable Team Evaluation via Automated Metric Mining for Communication, Organization, Execution, and Evolution. An Ju, Elena L. Glassman, Armando Fox |
| 2017 | The Changing Patterns of MOOC Discourse. Nia M. Dowell, Christopher A. Brooks, Vitomir Kovanovic, Srecko Joksimovic, Dragan Gasevic |
| 2017 | Towards Equal Opportunities in MOOCs: Affirmation Reduces Gender & Social-Class Achievement Gaps in China. René F. Kizilcec, Glenn M. Davis, Geoffrey L. Cohen |
| 2017 | Using Student Annotated Hashtags and Emojis to Collect Nuanced Affective States. Amy X. Zhang, Michele Igo, Marc T. Facciotti, David R. Karger |
| 2017 | What are the Expectations of Disabled Learners when Participating in a MOOC? Francisco Iniesto, Patrick McAndrew, Shailey Minocha, Tim Coughlan |
| 2017 | Writing Reusable Code Feedback at Scale with Mixed-Initiative Program Synthesis. Andrew Head, Elena L. Glassman, Gustavo Soares, Ryo Suzuki, Lucas Figueredo, Loris D'Antoni, Björn Hartmann |