2021

• Content-Neutral Immersive Environments for Cultivating Scalable Camaraderie. David A. Joyner, Akhil Mavilakandy, Ishaani Mittal, Denise Kutnick & Blair Macintyre. In Proceedings of the Eighth ACM Conference on Learning @ Scale.
• With or Without EU: Navigating GDPR Constraints in Human Subjects Research in an Education Environment. Alex Duncan & David Joyner. In Proceedings of the Eighth ACM Conference on Learning @ Scale.
• Toward Reshaping the Syllabus for Education at Scale. Bobbie Eicher & David Joyner. In Proceedings of the Eighth ACM Conference on Learning @ Scale.
• Components of Assessments and Grading at Scale. Bobbie Eicher & David A. Joyner. In Proceedings of the Eighth ACM Conference on Learning @ Scale.
• Towards Mutual Theory of Mind in Human-AI Interaction: How Language Reflects What Students Perceive About a Virtual Teaching Assistant. Qiaosi Wang, Koustuv Saha, Eric Gregori, David Joyner & Ashok Goel. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems.
• Mechanisms for Supporting Emergency Remote Classes: Towards a Distributed Classroom. David A. Joyner In Gazi, Y. and Baker, N. (Eds.) Moving Horizontally: The New Dimensions of At-Scale Learning at the Time of COVID-19. Georgia Institute of Technology.

2020

• The Search for the MOOC Credit Hour. James J. Lohse, Filipe Altoe, Jasmine Jose, Andrew M. Nowotarski, Farrukh Rahman, Robert C. Tuck, David A. Joyner. In Proceedings of Learning with MOOCs VII. (Best Paper Award Winner)
• Informal Learning Communities: The Other Massive Open Online ‘C’. Will Hudgins, Michael Lynch, Ash Schmal, Harsh Sikka, Michael Swenson & David A. Joyner. In Proceedings of the Seventh ACM Conference on Learning @ Scale.
• Affordable Degrees at Scale: New Phenomenon or New Hype?. David S. Park, Robert W. Schmidt, Charankumar Akiri, Stephanie Kwak & David A. Joyner. In Proceedings of the Seventh ACM Conference on Learning @ Scale.
• Peripheral and Semi-Peripheral Community: A New Design Challenge for Learning at Scale. David A. Joyner. In Proceedings of the Seventh ACM Conference on Learning @ Scale.
• SAGA: Curricula Optimization. Anneli Lefranc & David A. Joyner. In Proceedings of the Seventh ACM Conference on Learning @ Scale.
• Challenges of Online Learning in Nigeria. Kabir Abdulmajeed, David A. Joyner & Christine McManus. In Proceedings of the Seventh ACM Conference on Learning @ Scale.
• The Synchronicity Paradox in Online Education. David A. Joyner, Qiaosi Wang, Suyash Thakare, Shan Jing, Ashok Goel & Blair MacIntyre. In Proceedings of the Seventh ACM Conference on Learning at Scale.
• Sensing Affect to Empower Students: Learner Perspectives on Affect-Sensitive Technology in Large Educational Contexts. Qiaosi Wang, Shan Jing, David A. Joyner, Lauren Wilcox, Hong Li, Thomas Plötz & Betsy DiSalvo. In Proceedings of the Seventh ACM Conference on Learning at Scale. (Best Student Paper Award Winner)
• 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.
• Jill Watson SA: Design and Evaluation of a Virtual Agent to Build Communities Among Online Learners. Qiaosi Wang, Shan Jing, Ida Camacho, David Joyner & Ashok Goel. In Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems.
• 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.
• 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.