2020

• Attitudinal Trajectories in an Online CS1 Class: Demographic and Performance Trends. David A. Joyner, Lily Bernstein, Maria-Isabelle Dittamo, Ben Englelman, Alysha Naran, Amber Ott, Jasmine Suh & Abby Thien. In Proceedings of the 2020 ACM Conference on Innovation and Technology in Computer Science Education.
• Enrollment Motivations in an Online Graduate CS Program: Trends & Gender- and Age-Based Differences. Alex Duncan, Bobbie Eicher & David A. Joyner. In Proceedings of the 51st ACM Technical Symposium on Computer Science Education (SIGCSE).
• Advising of the Students, by the Students, for the Students: The Case of a Student-Owned Peer Advising Community. Alex Duncan & David A. Joyner. In Proceedings of the 18th Annual Hawaii International Conference on Education.
• Eroding Investment in Repeated Peer Review: A Reaction to Unrequited Aid?. David A. Joyner & Alex Duncan. In Proceedings of the 18th Annual Hawaii International Conference on Education.

2019

• Surveying the MOOC Data Set Universe. James J. Lohse, Christine A. McManus & David A. Joyner. In 2019 IEEE Learning With MOOCS (LWMOOCS).
• Annotation-free Automatic Examination Essay Feedback Generation. Filipe Altoe & David A. Joyner. In 2019 IEEE Learning With MOOCS (LWMOOCS).
• Creating Cadence: Fostering Persistent Engagement in Asynchronous Online Courses. David A. Joyner. In Domizi, D. P. (Ed.) Engaged Student Learning: Essays on Best Practices in the University System of Georgia.
• Master’s at Scale: Five Years in a Scalable Online Graduate Degree. David A. Joyner & Charles Isbell. In Proceedings of the Sixth Annual ACM Conference on Learning at Scale.
• Synchronous at Scale: Investigation and Implementation of a Semi-Synchronous Online Lecture Platform. Denise Kutnick & David A. Joyner. In Proceedings of the 6th Annual ACM Conference on Learning at Scale.
• Peer Advising at Scale: Content and Context of a Learner-Owned Course Evaluation System. Alex Duncan & David A. Joyner. In Proceedings of the 6th Annual ACM Conference on Learning at Scale.
• Three papers presented at the 2019 Learning @ Scale conference. LucyLabs members presented three papers at Learning @ Scale this week: "Master’s at Scale: Five Years in a Scalable Online Graduate Degree", "Synchronous at Scale: Investigation and Implementation of a Semi-Synchronous Online Lecture Platform", and "Peer Advising at Scale: Content and Context of a Learner-Owned Course Evaluation System".
• Designing and Developing Video Lessons for Online Learning: A Seven-Principle Model. Chaohua Ou, David A. Joyner & Ashok Goel. Online Learning, 23(2).
• Replicating and Unraveling Performance and Behavioral Differences between an Online and a Traditional CS Course. David A. Joyner & Melinda McDaniel. In ACM Global Computing Education Conference 2019 (CompEd ’19).
• Five Years of Graduate CS Education Online and at Scale. David A. Joyner, Charles Isbell, Thad Starner, & Ashok Goel. In ACM Global Computing Education Conference 2019 (CompEd ’19).
• Building Purposeful Online Learning: Outcomes from Blending CS1. In Madden, A., Margulieux, L., Kadel, R., & Goel, A. (Eds.) Blended Learning in Practice.
• Collaboration versus Cheating: Reducing Code Plagiarism in an Online MS Computer Science Program. Tony Mason, Ada Gavrilovska, & David A. Joyner. In Proceedings of the 50th ACM Technical Symposium on Computer Science Education (SIGCSE).
• From Clusters to Content: Using Code Clustering for Course Improvement. David A. Joyner, Ryan Arrison, Mehnaz Ruksana, Evi Salguero, Zida Wang, Ben Wellington, & Kevin Yin. In Proceedings of the 50th ACM Technical Symposium on Computer Science Education (SIGCSE).

2018

• The CHI of Teaching Online: Blurring the Lines Between User Interfaces and Learning Interfaces. David A. Joyner. In Kapros, E. & Koutsombogera, M. (Eds.) Designing for the User Experience in Learning Systems. New York: Springer.
• Measuring Learner Tone and Sentiment at Scale Via Text Analysis of Forum Posts. Michael Schubert, Damian Durruty, & David Joyner. In Proceedings of the 8th Edition of the International Workshop on Personalization Approaches in Learning Environments (PALE).
• Sentiment Analysis of Student Evaluations of Teaching. Heather Newman & David Joyner. In Proceedings of the 19th International Conference on AI in Education.
• Squeezing the Limeade: Policies and Workflows for Scalable Online Degrees. David Joyner. In Proceedings of the 5th Annual ACM Conference on Learning at Scale.
• Intelligent Evaluation and Feedback in Support of a Credit-Bearing MOOC. David Joyner. In Proceedings of the 19th International Conference on AI in Education.
• Toward CS1 at Scale: Building and Testing a MOOC-for-Credit Candidate. David Joyner. In Proceedings of the 5th ACM Conference on Learning at Scale.

2017

• Project Disco: A Video Alternative for Online Learning. Govin Vatsan, Allan Reyes, Robert Almendarez, & David Joyner. In Proceedings of Learning with MOOCs IV.
• Harnessing professionals’ motivations and experiences to improve accredited MOOC-based education. David Joyner. In Proceedings of Learning with MOOCs IV.
• A holistic approach to academic integrity in a CS1 MOOC. David Joyner. In Proceedings of Learning with MOOCs IV.
• Seven design principles for scalable for-credit CS1 education. David Joyner. In Proceedings of Learning with MOOCs IV.
• Using AI to Teach AI: Lessons from an Online AI Class. Ashok Goel & David Joyner. In AI Magazine 38(2). 48-58.
• Congruency, Adaptivity, Modularity, and Personalization: Four Experiments in Teaching Introduction to Computing. David Joyner. In Proceedings of the Fourth Annual ACM Conference on Learning at Scale. Cambridge, Massachusetts.
• Scaling Expert Feedback: Two Case Studies. David Joyner. In Proceedings of the Fourth Annual ACM Conference on Learning at Scale. Cambridge, Massachusetts.
• Introduction to Computing. David Joyner. McGraw-Hill. 978-1-260-08227-2.

2016

• Metrics for evaluating classroom community interactivity in MOOCs. Amanda Madden & David Joyner. In Proceedings of Learning with MOOCs III.
• Formative Assessment and Implicit Feedback in Online Learning. Ashok Goel & David Joyner. In Proceedings of Learning with MOOCs III. Philadelphia, Pennsylvania.
• Gauging student sentiment using IBM Watson. Damian Durruty & David Joyner. In Proceedings of Learning with MOOCs III. Philadelphia, Pennsylvania.
• Scaling the human expert’s role in large online programs. David Joyner. In Proceedings of Learning with MOOCs III. Philadelphia, Pennsylvania.
• TAPS: A MOSS Extension for Detecting Software Plagiarism at Scale. Dana Sheahen & David Joyner. In Proceedings of the Third Annual ACM Conference on Learning @ Scale. Edinburgh, UK.
• Expert Evaluation of 300 Projects per Day. David Joyner. In Proceedings of the Third Annual ACM Conference on Learning @ Scale. Edinburgh, UK.
• Graders as Meta-Reviewers: Simultaneously Scaling and Improving Expert Evaluation for Large Online Classrooms. David Joyner, Wade Ashby, Liam Irish, Yeeling Lam, Jacob Langston, Isabel Lupiani, Mike Lustig, Paige Pettoruto, Dana Sheahen, Angela Smiley, Amy Bruckman, & Ashok Goel. In Proceedings of the Third Annual ACM Conference on Learning @ Scale. Edinburgh, UK.
• The Unexpected Pedagogical Benefits of Making Higher Education Accessible. David Joyner, Ashok Goel, & Charles Isbell. In Proceedings of the Third Annual ACM Conference on Learning @ Scale. Edinburgh, UK.
• Designing Videos with Pedagogical Strategies: Online Students’ Perceptions of Their Effectiveness. Chaohua Ou, David Joyner, Daniel Haynes, & Ashok Goel. In Proceedings of the Third Annual ACM Conference on Learning @ Scale. Edinburgh, UK.
• Design of an Online Course on Knowledge-Based AI. Ashok Goel & David Joyner. In Proceedings of the Sixth Symposium on Educational Advances in Artificial Intelligence. Phoenix, Arizona.
• An Experiment in Teaching Cognitive Systems Online. Ashok Goel & David Joyner. In D. Haynes (Ed.) the International Journal for Scholarship of Technology-Enhanced Learning 1(1). 3-23.