David Joyner

Associated Projects

Associated Publications

2020: 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.
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.
2021: 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.
2021: Toward Reshaping the Syllabus for Education at Scale. Bobbie Eicher & David Joyner. In Proceedings of the Eighth ACM Conference on Learning @ Scale.
2021: Components of Assessments and Grading at Scale. Bobbie Eicher & David A. Joyner. In Proceedings of the Eighth ACM Conference on Learning @ Scale.
2021: 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.
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)
2020: 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.
2020: 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)
2020: 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.
2020: 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.
2020: 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.
2021: 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: SAGA: Curricula Optimization. Anneli Lefranc & David A. Joyner. In Proceedings of the Seventh ACM Conference on Learning @ Scale.
2020: Challenges of Online Learning in Nigeria. Kabir Abdulmajeed, David A. Joyner & Christine McManus. In Proceedings of the Seventh ACM Conference on Learning @ Scale.
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.
2020: 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).
2020: 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.
2020: 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).
2019: Annotation-free Automatic Examination Essay Feedback Generation. Filipe Altoe & David A. Joyner. In 2019 IEEE Learning With MOOCS (LWMOOCS).
2019: 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.
2019: 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.
2019: 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.
2019: 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.
2019: Designing and Developing Video Lessons for Online Learning: A Seven-Principle Model. Chaohua Ou, David A. Joyner & Ashok Goel. Online Learning, 23(2).
2019: 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).
2019: 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).
2019: Building Purposeful Online Learning: Outcomes from Blending CS1. In Madden, A., Margulieux, L., Kadel, R., & Goel, A. (Eds.) Blended Learning in Practice.
2019: 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).
2019: 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.
2018: 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).
2018: Sentiment Analysis of Student Evaluations of Teaching. Heather Newman & David Joyner. In Proceedings of the 19th International Conference on AI in Education.
2018: Squeezing the Limeade: Policies and Workflows for Scalable Online Degrees. David Joyner. In Proceedings of the 5th Annual ACM Conference on Learning at Scale.
2018: Intelligent Evaluation and Feedback in Support of a Credit-Bearing MOOC. David Joyner. In Proceedings of the 19th International Conference on AI in Education.
2018: 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.
2017: Harnessing professionals' motivations and experiences to improve accredited MOOC-based education. David Joyner. In Proceedings of Learning with MOOCs IV.
2017: A holistic approach to academic integrity in a CS1 MOOC. David Joyner. In Proceedings of Learning with MOOCs IV.
2017: Seven design principles for scalable for-credit CS1 education. David Joyner. In Proceedings of Learning with MOOCs IV.
2017: Using AI to Teach AI: Lessons from an Online AI Class. Ashok Goel & David Joyner. In AI Magazine 38(2). 48-58.
2017: 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.
2017: Scaling Expert Feedback: Two Case Studies. David Joyner. In Proceedings of the Fourth Annual ACM Conference on Learning at Scale. Cambridge, Massachusetts.
2017: 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.
2016: Formative Assessment and Implicit Feedback in Online Learning. Ashok Goel & David Joyner. In Proceedings of Learning with MOOCs III. Philadelphia, Pennsylvania.
2016: Gauging student sentiment using IBM Watson. Damian Durruty & David Joyner. In Proceedings of Learning with MOOCs III. Philadelphia, Pennsylvania.
2016: Scaling the human expert’s role in large online programs. David Joyner. In Proceedings of Learning with MOOCs III. Philadelphia, Pennsylvania.
2016: 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.
2016: Expert Evaluation of 300 Projects per Day. David Joyner. In Proceedings of the Third Annual ACM Conference on Learning @ Scale. Edinburgh, UK.
2016: 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.
2016: 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.
2016: 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.
2016: 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.
2016: 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.

Associated Media

Presentation: Graders as Meta-Reviewers: Simultaneously Scaling and Improving Expert Evaluation for Large Online Classrooms. The flipped presentation for the corresponding paper at Learning @ Scale 2016.
Presentation: The Unexpected Pedagogical Benefits of Making Higher Education Accessible. The flipped presentation for the corresponding paper at Learning @ Scale 2016.
Presentation: Expert Evaluation of 300 Projects per Day. The flipped presentation for the corresponding paper at Learning @ Scale 2016.
Presentation: TAPS: A MOSS Extension for Detecting Software Plagiarism at Scale. The flipped presentation for the corresponding paper at Learning @ Scale 2016.
Presentation: Designing Videos with Pedagogical Strategies: Online Students’ Perceptions of Their Effectiveness. The flipped presentation for the corresponding paper at Learning @ Scale 2016.
C21U Seminar Series Talk: The Unexpected Pedagogical Benefits of Making Higher Education Accessible. David Joyner's C21U talk on the unique benefits derived from the combination of the OMSCS's unique student body and forum-based structure.
GVU Brown Bag Talk: Impact of the Students in the Georgia Tech OMSCS. David Joyner's GVU Brown Bag talk on the unique role students play in the OMSCS program.
Course: CS6460: Educational Technology. The Georgia Tech OMSCS course CS6460: Educational Technology, available to the public at Udacity.com.
GVU Brown Bag Talk: Putting Online Learning and Learning Sciences Together. Ashok Goel's and David Joyner's Brown Bag talk on the design of CS7637: Knowledge-Based AI.
Course: CS7637: Knowledge-Based Artificial Intelligence. The Georgia Tech OMSCS course CS7637: Knowledge-Based AI, available to the public at Udacity.com.

Associated News

23 Jun 2021: LucyLabs members present at Learning @ Scale 2021. David Joyner, Alex Duncan, and Bobbie Eicher will present four papers at Learning @ Scale this week.
23 Mar 2021: Full paper accepted to Learning @ Scale 2021. "Content-Neutral Immersive Environments for Cultivating Scalable Camaraderie" by David Joyner, Akhil Mavilakandy, Ishaani Mittal, Denise Kutnick, and Blair MacIntyre has been accepted for the 2021 conference.
13 Apr 2021: Three work-in-progress papers accepted to LAS2021. Bobbie Eicher, Alex Duncan, and David Joyner together have co-authored three work-in-progress papers for Learning @ Scale 2021.
12 Dec 2020: Paper accepted to CHI 2021. "Towards Mutual Theory of Mind in Human-AI Interaction: How Language Reflects What Students Perceive About a Virtual Teaching Assistant" has been accepted for presentation at CHI 2021.
13 May 2021: Qiaosi Wang presents at CHI 2021. Qiaosi Wang is presenting "Towards Mutual Theory of Mind in Human-AI Interaction: How Language Reflects What Students Perceive About a Virtual Teaching Assistant" at CHI 2021.
02 Oct 2020: "The Search for the MOOC Credit Hour" wins best paper. Learning with MOOCs VII awarded James Lohse et al.'s paper the 2020 Best Paper Award.
28 Sep 2020: James Lohse presents at Learning with MOOCs VII. Today, James Lohse presented "The Search for the MOOC Credit Hour" to the 2020 Learning with MOOCs conference.
02 Jul 2020: Full paper accepted to Learning with MOOCs VII. "The Search for the MOOC Credit Hour" by James Lohse, Filipe Altoe, Jasmine Jose, Andrew Nowotarski, Farrukh Rahman, Robert Tuck, and David Joyner has been accepted to the 2020 Learning with MOOCs conference.
13 Aug 2020: LucyLabs members present at the Learning @ Scale 2020 poster session. The 2020 Learning @ Scale poster session for work-in-progress papers is taking place via the Gatherly platform, featuring posters by authors Kabir Abdulmajeed, Christine McManus, Anneli Lefranc, and David Joyner.
14 Aug 2020: Publication wins Best Student Paper Award at Learning @ Scale 2020. Qiaosi Wang's "Sensing Affect to Empower Students: Learner Perspectives on Affect-Sensitive Technology in Large Educational Contexts" was awarded the Best Student Paper Award at Learning @ Scale 2020.
12 Aug 2020: LucyLabs members present at Learning @ Scale 2020. Due to COVID-19, Learning @ Scale 2020 is taking place virtually, with four full paper presentations by LucyLabs members and collaborators.
23 Jul 2020: Three WIPs accepted to Learning @ Scale 2020. Anneli Lefranc, Christine McManus, and Kabir Abudulmajeed have had three papers accepted for the 2020 ACM Learning @ Scale conference.
30 Mar 2020: Four full papers accepted to Learning @ Scale 2020. Members of LucyLabs and their collaborators have had four full papers accepted to the 2020 ACM Conference on Learning at Scale.
14 Mar 2020: David Joyner presents remotely to SIGCSE 2020. David Joyner presented the paper "Enrollment Motivations in an Online Graduate CS Program: Trends & Gender- and Age-Based Differences" remotely to the 2020 SIGCSE conference.
02 Mar 2020: Paper accepted to ITICSE 2020. David Joyner and the teaching assistants for CS1301 authored a paper on what determines students' attitudes towards CS during a semester in a CS1 class.
02 Jan 2020: Alex Duncan presents two papers at HICE. Alex Duncan presented "Advising of the Students, by the Students, for the Students: The Case of a Student-Owned Peer Advising Community" and "Eroding Investment in Repeated Peer Review: A Reaction to Unrequited Aid?" to the 2020 HICE conference.
25 Oct 2019: David Joyner presents two papers at Learning with MOOCs 2019. David Joyner presented the papers "Annotation-free Automatic Examination Essay Feedback Generation" and "Surveying the MOOC Data Set Universe" at the 2019 Learning with MOOCs conference this week.
04 Oct 2019: Full paper accepted to 2020 SIGCSE conference. Alex Duncan, Bobbie Eicher, and David Joyner have had "Enrollment Motivations in an Online Graduate CS Program: Trends & Gender- and Age-Based Differences" accepted to the 2020 SIGCSE conference.
25 Jul 2019: Two papers accepted to Learning with MOOCs 2019. Filipe Altoe, James Lohse, Christine McManus, and David Joyner have had papers accepted to the 2019 Learning with MOOCs conference.
01 Jul 2019: Chapter published in USG Essays on Best Practices. David Joyner's article, "Creating Cadence: Fostering Persistent Engagement in Asynchronous Online Courses", was published in a USG handbook on teaching practices.
24 Jun 2019: 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".
01 Jun 2019: Journal article published in Online Learning. "Designing and Developing Video Lessons for Online Learning: A Seven-Principle Model" by Chaohua Ou, David Joyner, and Ashok Goel has been published in the journal Online Learning.
02 May 2019: Two short papers accepted to Learning @ Scale 2019. Alex Duncan, Denise Kutnick, and David Joyner have had papers accepted for presentation as posters at Learning @ Scale 2019.
19 Apr 2019: David Joyner wins Georgia Tech Teaching Excellence Award. David Joyner has won the inaugural Georgia Tech Teaching Excellence Award for Online Teaching.
01 Apr 2019: Book chapter published in MIT Press Blended Learning volume.
12 Mar 2019: Full paper accepted to 2019 ACM Learning @ Scale conference. David Joyner's and Charles Isbell's paper "Master’s at Scale: Five Years in a Scalable Online Graduate Degree" has been accepted for Learning @ Scale 2019.
08 Feb 2019: David Joyner wins USG Regents' Award. David Joyner has been awarded the USG Regents' Teaching Excellence Award for Online Teaching.
18 Jan 2019: Two full papers accepted for ACM CompEd 2019. Two papers, one co-authored by David Joyner, Charles Isbell, Thad Starner, and Ashok Goel and one co-authored by David Joyner and Melinda McDaniel, have been accepted to ACM CompEd 2019.
01 Dec 2018: Book chapter published in Springer volume. David Joyner authored the chapter "The CHI of Teaching Online: Blurring the Lines Between User Interfaces and Learning Interfaces" for the book Designing for the User Experience in Learning Systems.
10 Jul 2018: Mozilla Grant Received for VR in Online Education. We have received a Mozilla Research gift of $45,000 to research the use of virtual reality in online education.
26 Jun 2018: Presenting at the 2018 Festival of Learning. David Joyner is presenting five papers at the Festival of Learning between ICLS, AI in Education, and Learning @ Scale this week.
15 May 2018: Paper accepted for the PALE Workshop at AIED 2018. Michael Schubert, Damian Durruty, and David Joyner have had a paper accepted to the 2018 Personalization Approaches in Learning Environments (PALE) workshop.
26 Apr 2018: Two full papers accepted to Learning @ Scale 2018. David Joyner has had two full papers accepted for Learning at Scale 2018, one on policies and workflows in the OMSCS and one on results from CS1 online.
13 Apr 2018: David Joyner wins the Georgia Tech Curriculum Innovation Award. David Joyner has won the 2018 Georgia Tech Center for Teaching and Learning Curriculum Innovation Award!
24 Mar 2018: Two short papers accepted to AI in Education 2018. LucyLabs has had two short papers accepted to AI in Education 2018: one by David Joyner and Heather Newman, the other by David Joyner alone.
08 Oct 2017: Presenting four papers at Learning with MOOCs IV. This week, David Joyner is presenting four papers at Learning with MOOCs IV.
28 Jul 2017: Four papers accepted to Learning with MOOCs 2017. Four papers have been accepted for the 2017 Learning with MOOCs conference at UT-Austin.
12 Jun 2017: Article published in AI Magazine. Ashok Goel and David Joyner have co-authored an article for the most recent issue of AI Magazine.
24 Apr 2017: David Joyner wins College of Computing Outstanding Instructor. David Joyner has won the College of Computing's 2017 Outstanding Instructor award.
20 Apr 2017: Presenting two papers at Learning @ Scale. This week, David Joyner is presenting two papers at Learning @ Scale 2017 in Cambridge, Massachusetts.
10 Feb 2017: Work in Progress Paper accepted to Learning @ Scale 2017. David Joyner's short paper "Congruency, Adaptivity, Modularity, and Personalization: Four Experiments in Teaching Introduction to Computing" has been accepted to Learning @ Scale 2017
15 Dec 2016: Full paper accepted to Learning @ Scale 2017. David Joyner's paper "Scaling Expert Feedback: Two Case Studies" has been accepted to Learning @ Scale 2017
05 Oct 2016: Presenting at Learning with MOOCs 2016. David Joyner is presenting a talk and three posters at Learning with MOOCs this week.
03 Sep 2016: Three short papers accepted to Learning with MOOCs 2016. Three additional papers have been accepted as posters for Learning with MOOCs III in Philadelphia on October 6th and 7th. Congratulations to authors Amanda Madden, Damian Durruty, Ashok Goel, and David Joyner!
01 Sep 2016: David Joyner featured in 2016 Faces of Inclusive Excellence. David Joyner was featured in Georgia Tech's Faces of Inclusive Excellence from the Office of Institute Diversity.
16 Jun 2016: Paper accepted to Learning with MOOCs 2016. “Scaling the human expert’s role in large online programs” has been accepted for publication at Learning with MOOCs III. The paper is authored by David Joyner and covers efforts to increase human touch in Udacity's Nanodegree programs through expert project review and mentorship. Congratulations, David!
25 Apr 2016: David, Dana, and Chaohua present at Learning @ Scale 2016. David Joyner, Dana Sheahen, and Chaohua Ou are in Edinburgh, Scotland presenting our five papers. All five presentations are part of the conference's flipped sessions, and the pre-recorded presentations are available here.
15 Apr 2016: Learning @ Scale Flipped Presentations Now Available. For our five Learning @ Scale papers, we are participating in a flipped session. This entails filming the presentation in advance. The presentations are open to the public and now available.
07 Apr 2016: David Joyner wins the CoC Doctoral Dissertation Award. David Joyner has been selected as the winner of the 2016 College of Computing Doctoral Dissertation Award. The award will be presented on April 25th at the CoC Award Luncheon.
29 Mar 2016: David Joyner wins the Lockheed Excellence in Teaching Award. David Joyner has been announced as the winner of the 2016 Lockheed Excellence in Teaching Award. The award will be presented on April 25th at the CoC Award Luncheon.
26 Feb 2016: David Joyner joins C21U. Effective today, David Joyner has joined the faculty for the Georgia Tech Center for 21st Century Universities.
13 Feb 2016: Ashok Goel Delivers Paper to EAAI 2016. In Phoenix, Arizona today, Ashok presented "Design of an Online Course on Knowledge-Based AI" at the 6th Symposium on Educational Advances in AI.
10 Feb 2016: Fifth Paper Accepted to Learning @ Scale 2016. "TAPS: A MOSS Extension for Detecting Software Plagiarism at Scale", co-authored by Dana Sheahen and David Joyner, has been accepted as a short paper to Learning @ Scale 2016. Congratulations, Dana and David!
14 Dec 2015: Paper on Udacity's project review system accepted to Learning @ Scale 2016. "Expert Evaluation of 300 Projects per Day", authored by David Joyner, has been accepted to Learning @ Scale 2016. Congratulations, David!
14 Dec 2015: Paper on the designing course videos accepted to Learning @ Scale 2016. "Designing Videos with Pedagogical Strategies: Online Students’ Perceptions of Their Effectiveness", co-authored by Chaohua Ou, Ashok Goel, David Joyner, and Daniel Haynes, has been accepted as a short paper to Learning @ Scale 2016. Congratulations!
14 Dec 2015: Paper on the OMSCS accepted to Learning @ Scale 2016. "The Unexpected Pedagogical Benefits of Making Higher Education Accessible" has been accepted to Learning @ Scale 2016. The paper is co-authored by David Joyner, Ashok Goel, and Charles Isbell. Congratulations!
14 Dec 2015: Paper on "Graders as Meta-Reviewers" Accepted to Learning @ Scale 2016. "Graders as Meta-Reviewers: Simultaneously Scaling and Improving Expert Evaluation for Large Online Classrooms" has been accepted to Learning @ Scale 2016. The paper is co-authored by David Joyner, Wade Ashby, Liam Irish, Yeeling Lam, Jacob Langston, Isabel Lupiani, Mike Lustig, Paige Pettoruto, Dana Sheahen, Angela Smiley, Amy Bruckman, and Ashok Goel. Congratulations, everyone!
08 Nov 2015: Paper accepted to EAAI 2016. "Design of an Online Course on Knowledge-Based AI", co-authored by Ashok Goel and David Joyner, has been accepted to the Sixth Symposium on Educational Advances in Artificial in Intelligence. Congratulations, Ashok and David!
19 Oct 2015: Paper accepted to the International Journal for Scholarship of Technology Enhanced Learning. "An Experiment in Teaching Artificial Intelligence Online", co-authored by Ashok Goel and David Joyner, has been accepted to the International Journal for Scholarship of Technology Enhanced Learning. Congratulations, Ashok and David!

David Joyner

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