OMSCS Research

Student-Authored Publications

2026

  • Patrick Deng, Alexander D Greenhalgh, Brian Yu, Nicholas Lytle, and David A Joyner. 2026. Exploring Transitions of Graduates From an Online Master's in Computer Science Program to Doctoral Programs. In Proceedings of the 57th ACM Technical Symposium on Computer Science Education V. 1. 281–287.
  • Erik WW Goh, Xuan Wang, David A Joyner, and Ana Mary Rusch. 2026. Examining Discourse in a Large Online Education Program: A Machine-in-the-Loop Approach. In Proceedings of the 57th ACM Technical Symposium on Computer Science Education V. 1. 400–406.
  • Lennon J Shikhman. 2026. One Operator to Rule Them All? On Boundary-Indexed Operator Families in Neural PDE Solvers. arXiv preprint arXiv:2603.01406 (2026).

2025

  • Siwani Agrawal and Tapeshwari Bharti. 2025. Philosophy Meets Neuroscience: Unveiling the Most Effective Meditation Technique for Cognitive Growth and Stress Resilience. In 2025 Systems and Information Engineering Design Symposium (SIEDS). 494–499.
  • Uzair Akbar, Niki Kilbertus, Hao Shen, Krikamol Muandet, and Bo Dai. 2025. An analysis of causal effect estimation using outcome invariant data augmentation. arXiv preprint arXiv:2510.25128 (2025).
  • Anwar Al-Abbass, Georgy Loriya, Jason Stidd, Thomas Trask, and Nicholas Lytle. 2025. Exploring the Effects of Adaptive Testing Innovations on Distance STEM Education for Adult Learners: A Systematic Review. In 2025 IEEE Digital Education and MOOCS Conference (DEMOcon). 1–6.
  • Moiz Ali, Lakshmi Yendapalli, Bishoy Tawfik, and Matt Winzenried. 2025. Tackling Sexism in Multimodal Social Media: Exploring Hybrid Generative-Transformer Models. Working Notes of CLEF (2025).
  • Lu Cheng, Qixiu Zhang, Beibei Xu, Zhiwei Huang, Cirun Zhang, Yanan Lyu, and Fan Zhang. 2025. Exploration of multi-element collaborative research and application for modern power system based on generative large models. arXiv preprint arXiv:2504.02855 (2025).
  • Brittney Exline, Melanie Duffin, Brittany Harbison, Chrissa da Gomez, and David Joyner. 2025. Using Sentiment Analysis to Investigate Peer Feedback by Native and Non-Native English Speakers. In Proceedings of the ACM Global on Computing Education Conference 2025 Vol 1. 275–281.
  • Erik WW Goh, Xuan Wang, David A Joyner, and Ana Mary Rusch. 2025. Public Perceptions and Communications of a Large Online Graduate Program. In 2025 IEEE Digital Education and MOOCS Conference (DEMOcon). 1–6.
  • Yingfan Gu, Zhixia Li, Heng Wei, Guohui Zhang, and Yifan Xu. 2025. A Cyberattack Warning System for Enhancing Connected Vehicle Safety Under Spoofing Cyberattacks: A Generative-Based Human-in-the-Loop Trajectory Prediction Approach. IEEE Transactions on Intelligent Transportation Systems (2025).
  • Maximilian Heil and Dionne Bang. 2025. DS@ GT at CheckThat! 2025: detecting subjectivity via transfer-learning and corrective data augmentation. arXiv preprint arXiv:2507.06189 (2025).
  • India Irish, Saurabh Chatterjee, Xiangyu Jia, Sheliza Jivani, Valerie Lin, Rosa I Arriaga, and Thad Starner. 2025. Educating the establishment: lessons from homework for hire contractors to improve academic integrity. International Journal for Educational Integrity 21, 1 (2025), 33.
  • Yuan Li, Yanchi Liu, and Yijun Zhao. 2025. A-CLAPS: Automatic Correction of Language and Pronunciation Errors in Slide-based Presentations. In 2025 IEEE 49th Annual Computers, Software, and Applications Conference (COMPSAC). 1502–1505.
  • Anthony Miyaguchi, Murilo Gustineli, and Adrian Cheung. 2025. Distilling Spectrograms into Tokens: Fast and Lightweight Bioacoustic Classification for BirdCLEF+ 2025. arXiv preprint arXiv:2507.08236 (2025).
  • Anthony Miyaguchi, David Guecha, Yuwen Chiu, and Sidharth Gaur. 2025. DS@ GT at eRisk 2025: From prompts to predictions, benchmarking early depression detection with conversational agent based assessments and temporal attention models. arXiv preprint arXiv:2507.10958 (2025).
  • Tsz Fung Pang, Maryam Berijanian, Thomas Orth, Breanna Shi, and Charlotte S Alexander. 2025. PersonaMatrix: A Recipe for Persona-Aware Evaluation of Legal Summarization. arXiv preprint arXiv:2509.16449 (2025).
  • Ayush Parikh, Hoang Thanh Thanh Truong, Jeanette Schofield, and Maximilian Heil. 2025. DS@ GT at CheckThat! 2025: ensemble methods for detection of scientific discourse on social media. arXiv preprint arXiv:2507.06205 (2025).
  • Jeanette Schofield, Shuyu Tian, Hoang Thanh Thanh Truong, and Maximilian Heil. 2025. DS@ GT at CheckThat! 2025: exploring retrieval and reranking pipelines for scientific claim source retrieval on social media discourse. arXiv preprint arXiv:2507.06563 (2025).
  • Karishma Thakrar, Shreyas Basavatia, and Akshay Daftardar. 2025. Cultivating Multimodal Intelligence: Interpretive Reasoning and Agentic RAG Approaches to Dermatological Diagnosis. arXiv e-prints (2025), arXiv–2507.
  • Cheng Xu and Nan Yan. 2025. TripleFact: Defending data contamination in the evaluation of LLM-driven fake news detection. In Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 8808–8823.
  • Yifan Zhang, Chen Huang, Zachary Karas, Thuy Dung Nguyen, Kevin Leach, and Yu Huang. 2025. Enhancing code llm training with programmer attention. In Proceedings of the 33rd ACM International Conference on the Foundations of Software Engineering. 616–620.

2024

  • Alex S Duncan, Travis Tang, Yinghong Huang, Jeanette Luu, Nirali Thakkar, and David A Joyner. 2024. Who, What, and Where: Plotting Ten Years of Learning @ Scale Research. In Proceedings of the Eleventh ACM Conference on Learning @ Scale. 505–509.
  • Alex S Duncan, Travis Tang, Yinghong Huang, Jeanette Luu, Nirali Thakkar, and David A Joyner. 2024. Collaborate and Listen: International Research Collaboration at Learning @ Scale. In Proceedings of the Eleventh ACM Conference on Learning @ Scale. 250–254.
  • Alex S Duncan, Travis Tang, Yinghong Huang, Jeanette Luu, Nirali Thakkar, and David A Joyner. 2024. Forums, Feedback, and Two Kinds of AI: A Selective History of Learning @ Scale. In Proceedings of the Eleventh ACM Conference on Learning @ Scale. 376–382.
  • David A Joyner, Zoey Anne Beda, Michael Cohen, Melanie Duffin, Amy Garcia Fernandez, Liz Hayes-Golding, Jonathan Hildreth, Alex Houk, Rebecca Johnson, Kayla Matcheck, and others. 2024. When Chatting Isn't Cheating: Mining and Evaluating Student Use of Chatbots and Other Resources during Open-Internet Exams.. International Educational Data Mining Society (2024).
  • Bianca Toto and David A Joyner. 2024. Coding4Therapy: Enhancing cognitive and socio-emotional skills in children with ADHD. In Proceedings of the 2024 on ACM Virtual Global Computing Education Conference V. 1. 228–234.
  • Thomas Trask, Nicholas Lytle, Michael Boyle, David Joyner, and Ahmed Mubarak. 2024. A comparative analysis of student performance predictions in online courses using heterogeneous knowledge graphs. arXiv preprint arXiv:2407.12153 (2024).
  • Yuhui Zhao, Chunhao Zou, Rohit Sridhar, Christopher Cui, and Thad Starner. 2024. Leveraging past assignments to determine if students are using ChatGPT for their essays. In Proceedings of the Eleventh ACM Conference on Learning @ Scale. 320–324.

2023

  • Grace Naomi Chrysilla and David Joyner. 2023. Utilizing Neural Network to Predict Students Aptitudes for Teaching Assistant Roles. In Proceedings of the Tenth ACM Conference on Learning @ Scale. 262–266.
  • Alex Duncan, Ana Rusch, Prerna Ravi, and David Joyner. 2023. The l@ st eight years: A review of papers and authors at learning @ Scale. In Proceedings of the Tenth ACM Conference on Learning @ Scale. 383–387.
  • Andrew Hornback, Stephen Buckley, John Kos, Scott Bunin, Sungeun An, David Joyner, and Ashok Goel. 2023. A scalable architecture for conducting A/B experiments in educational settings. In Proceedings of the Tenth ACM Conference on Learning @ Scale. 373–377.
  • David A Joyner, Ana Rusch, Alex Duncan, Jolanta Wojcik, and Diana Popescu. 2023. Teaching at Scale and Back Again: The Impact of Instructors' Participation in At-Scale Education Initiatives on Traditional Instruction. In Proceedings of the Tenth ACM Conference on Learning @ Scale. 144–155.
  • Dilek Manzak and David A Joyner. 2023. Pre-semester predictors of course retention in a large online graduate cs program. In Proceedings of the Tenth ACM Conference on Learning @ Scale. 277–281.

2021

  • David A Joyner, Akhil Mavilakandy, Ishaani Mittal, Denise Kutnick, and Blair MacIntyre. 2021. Content-neutral immersive environments for cultivating scalable camaraderie. In Proceedings of the Eighth ACM Conference on Learning @ Scale. 47–58.

2020

  • Kabir Abdulmajeed, David A Joyner, and Christine McManus. 2020. Challenges of online learning in Nigeria. In Proceedings of the Seventh ACM Conference on Learning @ Scale. 417–420.
  • Will Hudgins, Michael Lynch, Ash Schmal, Harsh Sikka, Michael Swenson, and David A Joyner. 2020. Informal Learning Communities: The Other Massive Open Online'C'. In Proceedings of the Seventh ACM Conference on Learning @ Scale. 91–101.
  • Anneli Lefranc and David A Joyner. 2020. SAGA: Curricula optimization. In Proceedings of the Seventh ACM Conference on Learning @ Scale. 317–320.
  • James J Lohse, Filipe Altoe, Jasmine Jose, Andrew M Nowotarski, Farrukh Rahman, Robert C Tuck, and David A Joyner. 2020. The search for the MOOC credit hour. In 2020 IEEE Learning With MOOCS (LWMOOCS). 124–130.
  • David S Park, Robert W Schmidt, Charankumar Akiri, Stephanie Kwak, and David A Joyner. 2020. Affordable degrees at scale: New phenomenon or new hype?. In Proceedings of the Seventh ACM Conference on Learning @ Scale. 25–35.
  • Qiaosi Wang, Shan Jing, Ida Camacho, David Joyner, and Ashok Goel. 2020. Jill Watson SA: Design and evaluation of a virtual agent to build communities among online learners. In Extended abstracts of the 2020 CHI conference on human factors in computing systems. 1–8.

2019

  • Filipe Altoe and David Joyner. 2019. Annotation-free automatic examination essay feedback generation. In 2019 IEEE Learning With MOOCS (LWMOOCS). 110–115.
  • Denise G Kutnick and David A Joyner. 2019. Synchronous at scale: investigation and implementation of a semi-synchronous online lecture platform. In Proceedings of the Sixth (2019) ACM Conference on Learning @ Scale. 1–4.
  • James J Lohse, Christine A McManus, and David A Joyner. 2019. Surveying the MOOC data set universe. In 2019 IEEE Learning With MOOCS (LWMOOCS). 159–164.
  • Tony Mason, Ada Gavrilovska, and David A Joyner. 2019. Collaboration versus cheating: Reducing code plagiarism in an online MS computer science program. In Proceedings of the 50th ACM Technical Symposium on Computer Science Education. 1004–1010.

2018

  • Ida Camacho and Ashok Goel. 2018. Longitudinal trends in sentiment polarity and readability of an Online Masters of Computer Science course. In Proceedings of the Fifth Annual ACM Conference on Learning at Scale. 1–4.
  • Bobbie Eicher, Lalith Polepeddi, and Ashok Goel. 2018. Jill Watson doesn't care if you're pregnant: Grounding AI ethics in empirical studies. In Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society. 88–94.
  • Heather Newman and David Joyner. 2018. Sentiment analysis of student evaluations of teaching. In International conference on artificial intelligence in education. 246–250.
  • Michael Schubert, Damian Durruty, and David A Joyner. 2018. Measuring learner tone and sentiment at scale via text analysis of forum posts. In CEUR Workshop Proceedings. 30–34.

2017

  • Bobbie Eicher, Kathryn Cunningham, Sydni Peterson Marissa Gonzales, and Ashok Goel. 2017. Toward mutual theory of mind as a foundation for co-creation. In International Conference on Computational Creativity, Co-Creation Workshop.

2016

  • David A Joyner, Wade Ashby, Liam Irish, Yeeling Lam, Jacob Langston, Isabel Lupiani, Mike Lustig, Paige Pettoruto, Dana Sheahen, Angela Smiley, and others. 2016. Graders as meta-reviewers: Simultaneously scaling and improving expert evaluation for large online classrooms. In Proceedings of the Third (2016) ACM Conference on Learning @ Scale. 399–408.
  • Dana Sheahen and David Joyner. 2016. TAPS: A MOSS extension for detecting software plagiarism at scale. In Proceedings of the Third (2016) ACM Conference on Learning @ Scale. 285–288.

Papers About the OMSCS Program

2026

  • Patrick Deng, Alexander D Greenhalgh, Brian Yu, Nicholas Lytle, and David A Joyner. 2026. Exploring Transitions of Graduates From an Online Master's in Computer Science Program to Doctoral Programs. In Proceedings of the 57th ACM Technical Symposium on Computer Science Education V. 1. 281–287.
  • Erik WW Goh, Xuan Wang, David A Joyner, and Ana Mary Rusch. 2026. Examining Discourse in a Large Online Education Program: A Machine-in-the-Loop Approach. In Proceedings of the 57th ACM Technical Symposium on Computer Science Education V. 1. 400–406.

2025

  • Bobbie L Eicher, Alex S Duncan, Dante Ciolfi, Maria Konte, and Nicholas Lytle. 2025. Broadening CS Research Opportunities for Online Graduate Students. In Proceedings of the 56th ACM Technical Symposium on Computer Science Education V. 2. 1445–1446.
  • Bobbie L Eicher, Alex S Duncan, Dante Ciolfi, Maria Konte, and Nicholas Lytle. 2025. Examining Student Interest and Motivations in Graduate Computer Science Research. In Proceedings of the 56th ACM Technical Symposium on Computer Science Education V. 2. 1447–1448.
  • Brittney Exline, Melanie Duffin, Brittany Harbison, Chrissa da Gomez, and David Joyner. 2025. Using Sentiment Analysis to Investigate Peer Feedback by Native and Non-Native English Speakers. In Proceedings of the ACM Global on Computing Education Conference 2025 Vol 1. 275–281.
  • Erik WW Goh, Xuan Wang, David A Joyner, and Ana Mary Rusch. 2025. Public Perceptions and Communications of a Large Online Graduate Program. In 2025 IEEE Digital Education and MOOCS Conference (DEMOcon). 1–6.

2024

  • Keith Adkins and David A Joyner. 2024. Newly Created Assignments and The First Repository Effect on Inter-Semester Plagiarism. In Proceedings of the Eleventh ACM Conference on Learning @ Scale. 211–220.
  • Christopher Cui, Gururaj Deshpande, Celeste Mason, and Thad Starner. 2024. Scaling Classrooms: A Forum for Practitioners Seeking, Developing and Adapting their Own Tools. In Proceedings of the Eleventh ACM Conference on Learning @ Scale. 563–564.
  • Alex S Duncan, Travis Tang, Yinghong Huang, Jeanette Luu, Nirali Thakkar, and David A Joyner. 2024. Who, What, and Where: Plotting Ten Years of Learning @ Scale Research. In Proceedings of the Eleventh ACM Conference on Learning @ Scale. 505–509.
  • Alex S Duncan, Travis Tang, Yinghong Huang, Jeanette Luu, Nirali Thakkar, and David A Joyner. 2024. Collaborate and Listen: International Research Collaboration at Learning @ Scale. In Proceedings of the Eleventh ACM Conference on Learning @ Scale. 250–254.
  • Alex S Duncan, Travis Tang, Yinghong Huang, Jeanette Luu, Nirali Thakkar, and David A Joyner. 2024. Forums, Feedback, and Two Kinds of AI: A Selective History of Learning @ Scale. In Proceedings of the Eleventh ACM Conference on Learning @ Scale. 376–382.
  • David A Joyner, Zoey Anne Beda, Michael Cohen, Melanie Duffin, Amy Garcia Fernandez, Liz Hayes-Golding, Jonathan Hildreth, Alex Houk, Rebecca Johnson, Kayla Matcheck, and others. 2024. When Chatting Isn't Cheating: Mining and Evaluating Student Use of Chatbots and Other Resources during Open-Internet Exams.. International Educational Data Mining Society (2024).
  • David A Joyner, Gabriel J Pérez Irizarry, Bobbie Lynn Eicher, and Nicholas Lytle. 2024. Intelligent Feedback and Evaluation for the Assessment and Improvement of Student Peer Reviews. In 2024 IEEE Digital Education and MOOCS Conference (DEMOcon). 1–6.
  • David A Joyner and Alex S Duncan. 2024. Ten years, ten trends: The first decade of an affordable at-scale degree. In Proceedings of the Eleventh ACM Conference on Learning @ Scale. 143–153.
  • Chaohua Ou, Ploy Thajchayapong, and David Joyner. 2024. Open, collaborative, and AI-augmented peer assessment: Student participation, performance, and perceptions. In Proceedings of the Eleventh ACM conference on learning @ Scale. 496–500.
  • Thomas Trask, Nicholas Lytle, Michael Boyle, David Joyner, and Ahmed Mubarak. 2024. A comparative analysis of student performance predictions in online courses using heterogeneous knowledge graphs. arXiv preprint arXiv:2407.12153 (2024).
  • Thomas Trask, Nicholas Lytle, Bobbie Lynn Eicher, and David A Joyner. 2024. Student Performance Pattern Analysis Across Modalities in an Introduction to Computing Course. In 2024 IEEE Digital Education and MOOCS Conference (DEMOcon). 1–6.
  • Yuhui Zhao, Chunhao Zou, Rohit Sridhar, Christopher Cui, and Thad Starner. 2024. Leveraging past assignments to determine if students are using ChatGPT for their essays. In Proceedings of the Eleventh ACM Conference on Learning @ Scale. 320–324.

2023

  • Grace Naomi Chrysilla and David Joyner. 2023. Utilizing Neural Network to Predict Students Aptitudes for Teaching Assistant Roles. In Proceedings of the Tenth ACM Conference on Learning @ Scale. 262–266.
  • Alex Duncan and David Joyner. 2023. Ready or not, here I computer science: Trends in preparatory work pursued by incoming students in an online graduate computer science program. In Proceedings of the Tenth ACM Conference on Learning @ Scale. 388–392.
  • Alex Duncan, Ana Rusch, Prerna Ravi, and David Joyner. 2023. The l@ st eight years: A review of papers and authors at learning @ Scale. In Proceedings of the Tenth ACM Conference on Learning @ Scale. 383–387.
  • Bobbie Lynn Eicher and David A Joyner. 2023. Making the Grade: Assessments at Scale in a Large Online Graduate Program. In 2023 IEEE Learning with MOOCS (LWMOOCS). 1–6.
  • David A Joyner. 2023. ChatGPT in Education: Partner or pariah?. XRDS: Crossroads, The ACM Magazine for Students 29, 3 (2023), 48–51.
  • David A Joyner and Charles Isbell. 2023. The distributed classroom. MIT Press.
  • David A Joyner, Ana Rusch, Alex Duncan, Jolanta Wojcik, and Diana Popescu. 2023. Teaching at Scale and Back Again: The Impact of Instructors' Participation in At-Scale Education Initiatives on Traditional Instruction. In Proceedings of the Tenth ACM Conference on Learning @ Scale. 144–155.
  • Dilek Manzak and David A Joyner. 2023. Pre-semester predictors of course retention in a large online graduate cs program. In Proceedings of the Tenth ACM Conference on Learning @ Scale. 277–281.
  • Chaohua Ou and David Joyner. 2023. Seven years of online project-based learning at scale. International Journal on Innovations in Online Education 7, 1 (2023).
  • Ana Mary Rusch, Alex S Duncan, and David A Joyner. 2023. Student life at scale: Humanizing the student experience at scale through belonging, engagement, and community. In Proceedings of the Tenth ACM Conference on Learning @ Scale. 257–261.

2022

  • Keith L Adkins and David A Joyner. 2022. Scaling anti-plagiarism efforts to meet the needs of large online computer science classes: Challenges, solutions, and recommendations. Journal of Computer Assisted Learning 38, 6 (2022), 1603–1619.
  • Alex Duncan and David Joyner. 2022. On the necessity (or lack thereof) of digital proctoring: Drawbacks, perceptions, and alternatives. Journal of Computer Assisted Learning 38, 5 (2022), 1482–1496.
  • Bobbie L Eicher and David A Joyner. 2022. An Examination of Unofficial Course Reviews in a Graduate Program at Scale. In Proceedings of the Ninth ACM Conference on Learning @ Scale. 289–293.
  • Bobbie L Eicher and David A Joyner. 2022. Student Use of Course Reviews at Scale. In Proceedings of the Ninth ACM Conference on Learning @ Scale. 422–426.
  • David A Joyner. 2022. Meet me in the middle: Retention in a" mooc-based" degree program. In Proceedings of the Ninth ACM Conference on Learning @ Scale. 82–92.
  • David Joyner. 2022. Teaching at scale: Improving access, outcomes, and impact through digital instruction. (2022).
  • Chaohua Ou, Ashok K Goel, and David A Joyner. 2022. Towards a Pedagogical Framework for Designing and Developing iTextbooks.. iTextbooks@ AIED 2022 (2022).

2021

  • Alex Duncan and David A Joyner. 2021. With or without EU: Navigating GDPR constraints in human subjects research in an education environment. In Proceedings of the Eighth ACM Conference on Learning @ Scale. 343–346.
  • Bobbie Lynn Eicher and David Joyner. 2021. Components of assessments and grading at scale. In Proceedings of the Eighth ACM Conference on Learning @ Scale. 303–306.
  • Bobbie Lynn Eicher and David Joyner. 2021. Toward Reshaping the Syllabus for Education at Scale. In Proceedings of the Eighth ACM Conference on Learning @ Scale. 355–358.
  • David A Joyner. 2021. Beyond instruction: Scaling support for a large online master’s program. (2021).
  • David A Joyner, Akhil Mavilakandy, Ishaani Mittal, Denise Kutnick, and Blair MacIntyre. 2021. Content-neutral immersive environments for cultivating scalable camaraderie. In Proceedings of the Eighth ACM Conference on Learning @ Scale. 47–58.
  • D Joyner. 2021. Mechanisms for supporting emergency remote classes: Towards a distributed classroom. Moving horizontally: The new dimensions of at-scale learning in the time of COVID-19. http://hdl. handle. net/1853/64291 (2021).
  • Qiaosi Wang, Koustuv Saha, Eric Gregori, David Joyner, and Ashok Goel. 2021. Towards mutual theory of mind in human-ai interaction: How language reflects what students perceive about a virtual teaching assistant. In Proceedings of the 2021 CHI conference on human factors in computing systems. 1–14.

2020

  • Kabir Abdulmajeed, David A Joyner, and Christine McManus. 2020. Challenges of online learning in Nigeria. In Proceedings of the Seventh ACM Conference on Learning @ Scale. 417–420.
  • Peter Brusilovsky, Ken Koedinger, David A Joyner, and Thomas W Price. 2020. Building an infrastructure for computer science education research and practice at scale. In Proceedings of the Seventh ACM Conference on Learning @ Scale. 211–213.
  • Alex Duncan, Bobbie Eicher, and David A Joyner. 2020. Enrollment motivations in an online graduate CS program: Trends & gender-and age-based differences. In Proceedings of the 51st ACM Technical Symposium on Computer Science Education. 1241–1247.
  • Alex Duncan and David Joyner. 2020. Advising of the Students, by the Students, for the Students: The Case of a Student-Owned Peer Advising Community. (2020).
  • Will Hudgins, Michael Lynch, Ash Schmal, Harsh Sikka, Michael Swenson, and David A Joyner. 2020. Informal Learning Communities: The Other Massive Open Online'C'. In Proceedings of the Seventh ACM Conference on Learning @ Scale. 91–101.
  • David Joyner and Alex Duncan. 2020. Eroding investment in repeated peer review: a reaction to unrequited aid. In Proceedings of the 18th Annual Hawaii International Conference on Education. 23.
  • David A Joyner, May Carlon, Jeffrey Cross, Eduardo Corpeño, Rocael Hernández Rizzardini, Oscar Rodas, Dhawal Shah, Manoel Cortes-Mendez, Thomas Staubitz, and José A Ruipérez-Valiente. 2020. Global learning @ Scale. In Proceedings of the Seventh ACM Conference on Learning @ Scale. 229–232.
  • David A Joyner. 2020. Peripheral and semi-peripheral community: A new design challenge for learning at scale. In Proceedings of the Seventh ACM Conference on Learning @ Scale. 313–316.
  • David A Joyner, Qiaosi Wang, Suyash Thakare, Shan Jing, Ashok Goel, and Blair MacIntyre. 2020. The synchronicity paradox in online education. In Proceedings of the Seventh ACM Conference on Learning @ Scale. 15–24.
  • James J Lohse, Filipe Altoe, Jasmine Jose, Andrew M Nowotarski, Farrukh Rahman, Robert C Tuck, and David A Joyner. 2020. The search for the MOOC credit hour. In 2020 IEEE Learning With MOOCS (LWMOOCS). 124–130.
  • David S Park, Robert W Schmidt, Charankumar Akiri, Stephanie Kwak, and David A Joyner. 2020. Affordable degrees at scale: New phenomenon or new hype?. In Proceedings of the Seventh ACM Conference on Learning @ Scale. 25–35.
  • Qiaosi Wang, Shan Jing, Ida Camacho, David Joyner, and Ashok Goel. 2020. Jill Watson SA: Design and evaluation of a virtual agent to build communities among online learners. In Extended abstracts of the 2020 CHI conference on human factors in computing systems. 1–8.
  • Qiaosi Wang, Shan Jing, David Joyner, Lauren Wilcox, Hong Li, Thomas Plötz, and Betsy Disalvo. 2020. Sensing affect to empower students: Learner perspectives on affect-sensitive technology in large educational contexts. In Proceedings of the Seventh ACM Conference on Learning @ Scale. 63–76.

2019

  • Alex Duncan and David Joyner. 2019. Peer advising at scale: Content and context of a learner-owned course evaluation system. In Proceedings of the Sixth (2019) ACM Conference on Learning @ Scale. 1–4.
  • David A Joyner, Charles Isbell, Thad Starner, and Ashok Goel. 2019. Five years of graduate CS education online and at scale. In Proceedings of the ACM conference on global computing education. 16–22.
  • David A Joyner and Charles Isbell. 2019. Master's at scale: Five years in a scalable online graduate degree. In Proceedings of the Sixth (2019) ACM Conference on Learning @ Scale. 1–10.
  • Denise G Kutnick and David A Joyner. 2019. Synchronous at scale: investigation and implementation of a semi-synchronous online lecture platform. In Proceedings of the Sixth (2019) ACM Conference on Learning @ Scale. 1–4.
  • James J Lohse, Christine A McManus, and David A Joyner. 2019. Surveying the MOOC data set universe. In 2019 IEEE Learning With MOOCS (LWMOOCS). 159–164.
  • Tony Mason, Ada Gavrilovska, and David A Joyner. 2019. Collaboration versus cheating: Reducing code plagiarism in an online MS computer science program. In Proceedings of the 50th ACM Technical Symposium on Computer Science Education. 1004–1010.
  • Chaohua Ou, David A Joyner, and Ashok K Goel. 2019. Designing and developing video lessons for online learning: A seven-principle model.. Online Learning 23, 2 (2019), 82–104.

2018

  • Ida Camacho and Ashok Goel. 2018. Longitudinal trends in sentiment polarity and readability of an Online Masters of Computer Science course. In Proceedings of the Fifth Annual ACM Conference on Learning at Scale. 1–4.
  • Bobbie Eicher, Lalith Polepeddi, and Ashok Goel. 2018. Jill Watson doesn't care if you're pregnant: Grounding AI ethics in empirical studies. In Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society. 88–94.
  • David Joyner. 2018. The CHI of teaching online: Blurring the lines between user interfaces and learner interfaces.
  • David Joyner. 2018. Intelligent evaluation and feedback in support of a credit-bearing MOOC. In International Conference on Artificial Intelligence in Education. 166–170.
  • David Joyner. 2018. Squeezing the limeade: policies and workflows for scalable online degrees. In Proceedings of the Fifth Annual ACM Conference on Learning at Scale. 1–10.
  • David Joyner. 2018. Toward CS1 at scale: building and testing a MOOC-for-credit candidate. In Proceedings of the Fifth Annual ACM Conference on Learning at Scale. 1–10.
  • Heather Newman and David Joyner. 2018. Sentiment analysis of student evaluations of teaching. In International conference on artificial intelligence in education. 246–250.
  • Michael Schubert, Damian Durruty, and David A Joyner. 2018. Measuring learner tone and sentiment at scale via text analysis of forum posts. In CEUR Workshop Proceedings. 30–34.

2017

  • Bobbie Eicher, Kathryn Cunningham, Sydni Peterson Marissa Gonzales, and Ashok Goel. 2017. Toward mutual theory of mind as a foundation for co-creation. In International Conference on Computational Creativity, Co-Creation Workshop.
  • Ashok K Goel and David A Joyner. 2017. Using AI to teach AI: Lessons from an online AI class. Ai Magazine 38, 2 (2017), 48–59.
  • David A Joyner. 2017. Congruency, adaptivity, modularity, and personalization: four experiments in teaching introduction to computing. In Proceedings of the Fourth (2017) ACM Conference on Learning @ Scale. 307–310.
  • David A Joyner. 2017. Scaling expert feedback: Two case studies. In Proceedings of the Fourth (2017) ACM Conference on Learning @ Scale. 71–80.

2016

  • Ashok Goel and David Joyner. 2016. Design of an online course on Knowledge-Based AI. In Proceedings of the AAAI Conference on Artificial Intelligence.
  • Ashok Goel and David Joyner. 2016. An experiment in teaching artificial intelligence online. International Journal for the Scholarship of Technology-Enhanced Learning (1) 1 (2016).
  • Ashok Goel and David Joyner. 2016. Formative assessment and implicit feedback in online learning. Proceedings of Learning with MOOCs III, Philadelphia, PA (2016).
  • David A Joyner. 2016. Expert evaluation of 300 projects per day. In Proceedings of the Third (2016) ACM Conference on Learning @ Scale. 121–124.
  • David A Joyner, Wade Ashby, Liam Irish, Yeeling Lam, Jacob Langston, Isabel Lupiani, Mike Lustig, Paige Pettoruto, Dana Sheahen, Angela Smiley, and others. 2016. Graders as meta-reviewers: Simultaneously scaling and improving expert evaluation for large online classrooms. In Proceedings of the Third (2016) ACM Conference on Learning @ Scale. 399–408.
  • David A Joyner, Ashok K Goel, and Charles Isbell. 2016. The unexpected pedagogical benefits of making higher education accessible. In Proceedings of the third (2016) ACM Conference on Learning @ Scale. 117–120.
  • Chaohua Ou, Ashok K Goel, David A Joyner, and Daniel F Haynes. 2016. Designing videos with pedagogical strategies: Online students' perceptions of their effectiveness. In Proceedings of the third (2016) ACM conference on learning @ Scale. 141–144.
  • Dana Sheahen and David Joyner. 2016. TAPS: A MOSS extension for detecting software plagiarism at scale. In Proceedings of the Third (2016) ACM Conference on Learning @ Scale. 285–288.

2015

  • Ashok K Goel and David A Joyner. 2015. An experiment in teaching cognitive systems online. Georgia Institute of Technology.
  • David A Joyner and Ashok K Goel. 2015. Improving inquiry-driven modeling in science education through interaction with intelligent tutoring agents. In Proceedings of the 20th international conference on intelligent user interfaces. 5–16.

2014

  • David A Joyner, Ashok K Goel, and Nicolas M Papin. 2014. MILA--S: generation of agent-based simulations from conceptual models of complex systems. In Proceedings of the 19th international conference on intelligent user interfaces. 289–298.

2013

  • Ashok Goel, Maithilee Kunda, David Joyner, and Swaroop Vattam. 2013. Learning about representational modality: Design and programming projects for knowledge-based AI. In Proceedings of the AAAI Conference on Artificial Intelligence. 1586–1591.