(Showing: 1 - 10 of 112)
(Showing: 1 - 112 of 112)
Hu, X., Cai, Z., Hampton, A.J., Cockroft, J.L., Graesser, A.C., Copland, C., Folsom-Kovarik, J.T.
"Capturing AIS Behavior using xAPI-like Statements"
In Proceedings of Lecture Notes in Computer Science (HCII 2019)
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Sankaranarayanan, S., Kandimalla, S., Cao, M., Maona, I., An, H., Bogart, C., Murray, R. C., Hilton, M., Sakr, M., Rosé, C. P.
"Designing for Learning During Online Collaborative Projects: Tools and Takeaways"
Information and Learning Sciences
, 2020
Schreck, Benjamin and Veeramachaneni, Kalyan
"What Would a Data Scientist Ask? Automatically Formulating and Solving Predictive Problems"
Data Science and Advanced Analytics (DSAA), 2016 IEEE International Conference on
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Schuetze, B.A., Eglington, L.G., Kang, S.H.K.
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Memory,
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IEEE/ACM Data Science and Advance Analytics Conference.
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Sebastien Boyer, Kalyan Veeramachaneni
"Transfer Learning for Predictive Models in Massive Open Online Courses"
17th International Conference on Artificial Intelligence in Education
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Shen, H., Liang, L., Law, N., Hemberg, E., & O'Reilly, U. M.
"Understanding Learner Behavior Through Learning Design Informed Learning Analytics."
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Shi, G., Lippert, A. M., Shubeck, K., Fang, Y., Chen, S., Pavlik, P., . . . Graesser, A. C.
"Exploring an intelligent tutoring system as a conversation-based assessment tool for reading comprehension."
Behaviormetrika,
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Shi, G., Pavlik Jr., P. I., & Graesser, A.
"Using an Additive Factor Model and Performance Factor Analysis to Assess Learning Gains in a Tutoring System to Help Adults with Reading Difficulties"
Proceedings for the 10th International Conference on Educational Data Mining
, 2017
Shiyan Jiang, Kexin Yang, Chandrakumari Suvarna, Pooja Casula, Mingtong Zhang and Carolyn Rose
"Applying Rhetorical Structure Theory to Student Essays for Providing Automated Writing Feedback"
Proceedings of Discourse Relation Parsing and Treebanking (DISRPT)
, 2019
Sinatra, A., Graesser, A.C., Hu,X., Brawner. K., & Rus, V.
"Design Recommendations for Intelligent Tutoring Systems:"
Self-improving systems (
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Smith, M. J., Sala, C., Kanter, J. M., & Veeramachaneni, K.
"The machine learning bazaar: Harnessing the ML ecosystem for effective system development."
In Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data
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T Gervet, K Koedinger, J Schneider, T Mitchell.
"When is Deep Learning the Best Approach to Knowledge Tracing?"
JEDM| Journal of Educational Data Mining
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Thaker, K., Carvalho, P.F., & Koedinger, K.R
"Comprehension Factor Analysis: Modeling student's reading behaviour: Accounting for reading practice in predicting students' learning in MOOCs"
In Proceedings of the 9th International Learning Analytics and Knowledge Conference.
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Veeramachaneni, Kalyan and Adl, Kiarash and O'Reilly, Una-May
"Feature factory: Crowd sourced feature discovery"
Proceedings of the Second (2015) ACM Conference on Learning@ Scale
, 2015
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Wang, X., Chen, Y., Godley, A., Rosé, C. P.
"Public Peer Review Motivates Higher Quality Feedback"
Proceedings of the International Conference of the Learning Sciences (ICLS ?18), London, UK.
, 2018
Wang, X., Talluri, S., Rosé, C. P., & Koedinger, K.
"UpGrade: SourcingStudent Open-Ended Solutions to Generate Scalable Learning Opportunities"
Proceedings of ACM Learning at Scale (L@S2019)
, 2019
Wang, Xu and Wen, Miaomiao and Ros{\'e}, Carolyn P
"Towards triggering higher-order thinking behaviors in MOOCs"
Proceedings of the Sixth International Conference on Learning Analytics \& Knowledge
, 2016
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Wang, Xu and Yang, Diyi and Wen, Miaomiao and Koedinger, Kenneth and Ros{\'e}, Carolyn P
"Investigating How Student's Cognitive Behavior in MOOC Discussion Forums Affect Learning Gains."
International Educational Data Mining Society
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Wang, Y., Wang, F., Xie, H., Chen, J., Li, W., & Hu, X.
"A picture is worth a thousand words: Self-generation drawing for mutimedia learning."
Advances in Psychological Science
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Wang, Z., Gong, S-Y., Xu, S.& Hu, X.
"Elaborated feedback and learning: Examining cognitive and motivational influences."
Computers and Education
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Wen, M., Maki, K., Dow, S. P., Herbsleb, J., Rosé, C. P.
"Supporting Virtual Team Formation through Community-Wide Deliberation"
Proceedings of the 21st ACM Conference on Computer-Supported Cooperative Work and Social Computing
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Wen, M., Maki, K., Dow, S. P., Herbsleb, J., Rosé, C. P.
"Supporting Virtual Team Formation through Community-Wide Deliberation"
Proceedings of the 21st ACM Conference on Computer-Supported Cooperative Work and Social Computing
, 2018
Wolfbauer, I.; Pammer-Schindler, V.; Rosé, C. Rebo Junior
"Analysis of Dialogue Structure Quality for a Reflection Guidance Chatbot. EC-TEL Impact Paper Proceedings 2020"
15th European Conference on Technology Enhanced Learning (CEUR Workshop Proceedings)
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Yi Sun, Alfredo Cuesta-Infante, Kalyan Veeramachaneni
"Learning Vine Copula Models For Synthetic Data Generation"
In Proc. 33rd AAAI Conference on Artificial Intelligence, 2019.
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Wang, X., Wen, M., Rosé, C. P.
"Contrasting Explicit and Implicit Support for Transactive Exchange in Team Oriented Project Based Learning"
Proceedings of Computer-Supported Collaborative Learning
, 2017
Ait-Khayi, N. and Rus, V.
"BI-GRU Capsule Networks for Student Answers Assessment"
Proceedings of The 2019 KDD Workshop on Deep Learning for Education (DL4Ed)
, 2019
Ait-Khayi, N. & Rus, V.
"Clustering Students Based on Their Prior Knowledge."
Proceedings of the 12th International Conference on Educational Data Mining (EDM)
, 2019
Alec Anderson, Sebastien Dubois, Alfredo Cuesta-Infante and Kalyan Veeramachaneni
"Sample, Estimate, Tune: Scaling Bayesian Auto-Tuning of Data Science Pipelines"
IEEE International Conference on Data Science and Advance Analytics
, 2017
Bennett Cyphers and Kalyan Veeramachaneni
"Locally Private Machine Learning over a Network of Data Holders"
IEEE International Conference on Data Science and Advance Analytics
, 2017
Boyer, Sebastien and Gelman, Ben U and Schreck, Benjamin and Veeramachaneni, Kalyan
"Data science foundry for MOOCs"
Data Science and Advanced Analytics (DSAA), 2015. 36678 2015. IEEE International Conference on
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Boyer, Sebastien and Veeramachaneni, Kalyan
"Transfer learning for predictive models in massive open online courses"
International Conference on Artificial Intelligence in Education
, 2015
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Brusilovsky, P., Koedinger, K., Joyner, D. A., & Price, T. W.
"Building an Infrastructure for Computer Science Education Research and Practice at Scale."
In Proceedings of the Seventh ACM Conference on Learning@ Scale
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Cai, Z., Graesser, A.C., Hu, X., & Cockroft, J. L.
"Self-improving components in conversational intelligent tutoring systems."
In A. Sinatra, A.C. Graesser, X. Hu, K. Brawner and V. Rus (Eds.), Design Recommendations for Intelligent Tutoring Systems: Self-improving systems
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Cai, Z., Hu, X., & Graesser, A.C.
"Authoring conversational intelligent tutoring systems."
Proceedings of the International Conference on Human-Computer Interaction: Adaptive Instruction Systems
, 2019
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Cao, M., & Pavlik Jr, P. I.
"Using a Variant of the Performance Factors Analysis Model for Adaptive Training on Mandarin Tones."
Proceedings of the Third International Conference on Artificial Intelligence and Adaptive Education 2019
, 2019
Cao, M., Pavlik Jr, P. I., & Bidelman, G. M.
"Incorporating Prior Practice Difficulty into Performance Factor Analysis to Model Mandarin Tone Learning."
In C. Lynch, A. Merceron, M. Desmarais, & R. Nkambou (Eds.), Proceedings of the 11th International Conference on Educational Data Mining
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Carvalho, Paulo F.; Gao, Min; Motz, Benjamin A.; Koedinger, Kenneth R.
"Analyzing the Relative Learning Benefits of Completing Required Activities and Optional Readings in Online Courses"
International Educational Data Mining Society proceedings
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Carvalho, P.F., Gao, M., Motz, B.A., & Koedinger, K.R.
"Analyzing the relative learning benefits of completing required activities and optional readings in online courses."
In Proceedings of the 11th International Conference on Educational Data Mining.
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Carvalho, P.F., McLaughlin, E.A., & Koedinger, K.R.
"Is there an explicit learning bias? Students beliefs, behaviors and learning outcomes."
Proceedings of the 39th Annual Meeting of the Cognitive Science Society.
, 2017
CP Rosé, EA McLaughlin, R Liu, KR Koedinger
"Explanatory learner models: Why machine learning (alone) is not the answer."
British Journal of Educational Technology
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Dang, S., Yudelson, M., Koedinger, K. R.
"Detecting Diligence with Online Behaviors on Intelligent Tutoring Systems"
Proceedings of the Fourth (2017) ACM Conference on Learning @ Scale
, 2017
Eglington, L. G., & Pavlik Jr, P. I.
"Optimizing Practice Scheduling Requires Quantitative Tracking of Individual Item Performance."
npj Science of Learning
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Eglington, L., & Pavlik Jr, P. I.
"Predictiveness of prior failures is modulated by trial duration."
Journal of Educational Data Mining,
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Fang, Y., Lippert, A., Cai, Z., Hu, X., and Graesser, A.C.
"A Conversation-based Intelligent Tutoring System Benefits Adult Readers with Low Literacy Skills"
Adaptive Instructional Systems
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Fang, Y., Nye, B., Pavlik Jr., P. I., Xu, Y., Graesser, A., & Hu, X.
"Online Learning Persistence and Academic Achievement"
Proceedings for the 10th International Conference on Educational Data Mining
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Fang, Y., Ren, Z., Hu, X. & Graesser, A. C.
"A Meta-analysis of the effectiveness of ALEKS on learning."
Educational Psychology.
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Fang, Y., Shubeck, K. T., Lippert, A., Cheng, Q., Shi, G., Feng, S., . . . Graesser, A. C.
"Clustering the Learning Patterns of Adults with Low Literacy Interacting with an Intelligent Tutoring System."
In K. E. Boyer, & M. Yudelson (Eds.), Proceedings of the 11th International Conference on Educational Data Mining
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Ferschke, Oliver and Yang, Diyi and Tomar, Gaurav and Ros{\'e}, Carolyn Penstein
"Positive impact of collaborative chat participation in an edx mooc"
International Conference on Artificial Intelligence in Education
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Fiacco, J. and Choudhary, S. and Rose, C. P
"Deep Neural Model Inspection and Comparison via Functional Neuron Pathways"
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
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Fiacco, J., Cotos, E., Rosé, C. P.
"Towards Enabling Feedback on Rhetorical Structure with Neural Sequence Models"
Proceedings of Learning Analytics and Knowledge (LAK19)
, 2019
Fiacco, J. & Rosé, C. P.
"Deep Neural Model Inspection and Comparison via Functional Neuron Pathways."
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics.
, 2019
Fiacco, J. & Rosé, C. P.
"Towards Domain General Detection of Transactive Knowledge Building Behavior,"
Proceedings of Learning at Scale
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Fisher, J. D.; Fancsali, S. E.; Lewis, A. J.; Fisher, V. A.; Hausmann, R. G. M.; Pavelko, M.; Finocchi, S. B.; Ritter, S.
"LiveHint: Intelligent digital support for analog learning experiences"
2nd International Workshop on Intelligent Textbooks
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Goldberg, B., Brawner, K., & Hoffman, M.
"The GIFT Architecture and Features Update: 2020 Edition."
In Proceedings of the 8th Annual Generalized Intelligent Framework for Tutoring (GIFT) Users Symposium (GIFTSym8)
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Holstein, K., Harpstead, E., Gulotta, R., & Forlizzi, J.
"Replay Enactments: Exploring Possible Futures through Historical Data."
In Proceedings of the 2020 ACM Designing Interactive Systems Conference
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Hu, X.
"Intro to the Machine Learning Section. In Design Recommendations for Intelligent Tutoring Systems:"
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Hu, X., Cai, Z., Hampton, A.J., Cockroft, J.L., Graesser, A.C. & Copland C.
"Capturing AIS behavior using xAPI-like statements."
In R.A. Sottilare and J. Schwarz (Eds.), Proceedings of the International Conference on Human-Computer Interaction: Adaptive Instruction Systems
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Hu, X., Tong, R., Cai, Z., Cockroft, J.L., & Kim, J.W.
"In Design Recommendations for Intelligent Self-Improvable Adaptive Systems (SIAISs)- A Proposed Model."
Self- Improving Systems.
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James Max Kanter, Kalyan Veeramachaneni
"Deep Feature Synthesis: Torwards Automating Data Science Endeavors"
IEEE/ACM Data Science and Advance Analytics Conference
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Jang, H., Maki, K., Hovy, E., & Rosé, C. P.
"Finding Structure in Figurative Language: Metaphor Detection with Topic-Based Frames"
Proceedings of the 18th Annual SIGdial Meeting on Discourse and Dialogue
, 2017
Jonathan Bassen, Bharathan Balaji, Michael Schaarschmidt, Candace Thille, Jay Painter, Dawn Zimmaro, Alex Games, Ethan Fast, and John C. Mitchell
"Reinforcement Learning for the Adaptive Scheduling of Educational Activities"
Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (CHI '20). Association for Computing Machinery, New York, NY, USA.
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Jo, Y., Yoder, M., Rosé, C. P.
"Modeling Speech Acts with Content Word Filtering and Speaker Preference"
Proceedings of EMNLP 2017: Conference on Empirical Methods in Natural Language Processing
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Kalyan Veeramachaneni, Una-May O'Reilly, Kiarash Adl
"Feature Factory: Crowd Sourcing Feature Discovery"
WIP session at ACM Learning @Scale
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Kanter, James Max and Gillespie, Owen and Veeramachaneni, Kalyan
"Label, Segment, Featurize: a cross domain framework for prediction engineering"
Data Science and Advanced Analytics (DSAA), 2016 IEEE International Conference on
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Kanter, James Max and Veeramachaneni, Kalyan
"Deep feature synthesis: Towards automating data science endeavors"
Data Science and Advanced Analytics (DSAA), 2015. 36678 2015. IEEE International Conference on
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Koedinger, Kenneth R and D'Mello, Sidney and McLaughlin, Elizabeth A and Pardos, Zachary A and Ros{\'e}, Carolyn P
"Data mining and education"
Wiley Interdisciplinary Reviews: Cognitive Science
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Koedinger, Kenneth R and Kim, Jihee and Jia, Julianna Zhuxin and McLaughlin, Elizabeth A and Bier, Norman L
"Learning is not a spectator sport: Doing is better than watching for learning from a MOOC"
Proceedings of the Second (2015) ACM Conference on Learning@ Scale
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Koedinger, Kenneth R and McLaughlin, Elizabeth A and Jia, Julianna Zhuxin and Bier, Norman L
"Is the doer effect a causal relationship?: how can we tell and why it's important"
Proceedings of the Sixth International Conference on Learning Analytics \& Knowledge
, 2016
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Koedinger, Kenneth R and Yudelson, Michael V and Pavlik, Philip I
"Testing theories of transfer using error rate learning curves"
Topics in cognitive science
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Koedinger, K., Liu, R., Stamper, J., Thille, C., & Pavlik, P.
"Workshop: Community based educational data repositories and analysis tools"
Proceedings of the Seventh International Learning Analytics & Knowledge Conference
, 2017
Koedinger, K.R., Kim, J., Jia, J., McLaughlin, E.A., & Bier, N.L.
"Learning is not a spectator sport: Doing is better than watching for learning from a MOOC"
Proceedings of the Second (2015) ACM Conference on Learning at Scale
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Koedinger, K.R., Scheines, R., & Schaldenbrand, P.
"Is the Doer Effect Robust Across Multiple Data Sets? International Conference on Educational Data Mining (EDM)"
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Koedinger, K.R., Sun, L., & McLaughlin, E.A.
"Using a hierarchical model to get the best of both worlds: Good prediction and good explanation."
nternational Conference on Educational Data Mining. Buffalo, New York.
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Wang, X.., Yang, D., Wen, M., Koedinger, K. R., & Rosé, C. P.
"How does student?s cognitive behavior in MOOC Discussion Forums affect Learning"
The 8th International Conferenceon Educational Data Mining
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Koedinger, K., Stamper, J., Carvalho, P. F., Pavlik Jr, P. I., & Eglington, L.
"Sharing and Reusing Data and Analytic Methods with LearnSphere."
In C. Lynch, A. Merceron, M. Desmarais, & R. Nkambou (Eds.), Proceedings of the 11th International Conference on Educational Data Mining
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Kuo, B-C.,& Hu, X.
"Intelligent Learning Environments."
Educational Psychology
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Lei Xu, Maria Skoularidou, Alfredo Cuesta-Infante, Kalyan Veeramachaneni.
"Modeling Tabular data using Conditional GAN."
To appear in Proc. of Advances in Neural Information Processing Systems, 2019.
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Li, J., Sun, L., Wang, X., Sun, C., Heng, S., Hu, X., Chen, W. & Liu, F.
"Are Posttraumatice Stress Symptoms and Avoidant Coping Inhibitory Factors? The Association Between Posttraumatic Growth and Quality of Life Among Low-Grade Gliomas Patients in China."
Frontiers Psychology
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Liu, H., Huang, Y., Wang, Z., Liu, K., Hu, X. & Wang, W.
"Personality or Value: A Comparative Study of Psychographic Segmentation Based on an Online Review Enhanced Recommender System."
Applied Sciences
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Liu, R., & Koedinger, K. R.
"Closing the loop: Automated data-driven cognitive model discoveries lead to improved instruction and learning gains."
Journal of Educational Data Mining
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Liu, R., & Koedinger, K. R.
"Towards reliable and valid measurement of individualized student parameters"
Proceedings of the 10th International Conference on Educational Data Mining
, 2017
Liu, R., Koedinger, K., Stamper, J., & Pavlik Jr., P. I.
"Workshop: Sharing and Reusing Data and Analytic Methods with LearnSphere"
Proceedings for the 10th International Conference on Educational Data Mining
, 2017
Lomas, J.D., Koedinger, K.R., Patel, N., Shodhan, S., Poonwala, N., & Forlizzi, J.L.
"Is Difficulty Overrated? The Effects of Choice, Novelty and Suspense on Intrinsic Motivation in Educational Games"
Proceedings of the SIGCHI Conference on Human Factors in Computing System
, 2017
MacLellan, Christopher J and Liu, Ran and Koedinger, Kenneth R
"Accounting for Slipping and Other False Negatives in Logistic Models of Student Learning."
International Educational Data Mining Society
, 2015
MacLellan, C. J., & Koedinger, K. R.
"Domain-General Tutor Authoring with Apprentice Learner Models."
International Journal of Artificial Intelligence in Education
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Maharjan, N., Banjade, R., Gautam, D., Tamang, L.J., Rus, V.
"DT_Team at SemEval-2017 Task 1: Semantic Similarity Using Alignments, Sentence-Level Embeddings and Gaussian Mixture Model Output"
Proceedings of the 11th International Workshop on Semantic Evaluation
, 2017
Maharjan, N., Banjade, R., Rus, V.
"Automated Assessment of Open-ended Student Answers in Tutorial Dialogues Using Gaussian Mixture Models"
Proceedings of the 30th International Florida Artificial Intelligence Research Society
, 2017
Maharjan, N., Rus. V.
"A Concept Map Based Assessment of Free Student Answers in Tutorial Dialogues."
The 20th International Conference on Artificial Intelligence in Education (AIED)
, 2019
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Maki, K., Yoder, M., Jo, Y., Rosé, C. P.
"Roles and Success in Wikipedia Talk Pages: Identifying Latent Patterns of Behavior"
Proceedings of the 8th International Joint Conference on Natural Language Processing
, 2017
Micah Smith and Kalyan Veeramachaneni
"FeatureHub: Towards Collaborative Data Science"
IEEE International Conference on Data Science and Advance Analytics
, 2017
Nye, B. D., Core, M. G., Auerbach, D., Ghosal, A., Jaiswal, S., & Rosenberg, M.
"Integrating an Engagement Classification Pipeline into a GIFT Cybersecurity Module."
In Proceedings of the 8th Annual Generalized Intelligent Framework for Tutoring (GIFT) Users Symposium (GIFTSym8)
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Olney, A. M., Pavlik, P. I., & Maass, J. K.
"mproving Reading Comprehension with Automatically Generated Cloze Item Practice"
Artificial Intelligence in Education: 18th International Conference
, 2017
Paquette, L., Baker, R., Moskal, M.
"A System-General Model for the Detection of Gaming the System Behavior in CTAT and LearnSphere"
Proceedings of the 15th International Conference on Artificial Intelligence and Education
, 2018
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Patki, Neha and Wedge, Roy and Veeramachaneni, Kalyan
"The Synthetic Data Vault"
Data Science and Advanced Analytics (DSAA), 2016 IEEE International Conference on
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, p.399--410
Pavlik Jr., P. I., Cao, M., & Eglington, L.
"Mathematically Modeling the Optimal Desirable Difficulty."
Proceedings of the 60th Annual Meeting of the Psychonomic Society,
, 2019
Pavlik Jr, P. I., Maass, J. K., & Kim, J. W.
"Assessment of Forgetting"
Design Recommendations for Intelligent Tutoring System-
, 2017
Pavlik Jr, P. I., Zimmerman, N., & Riedesel, M.
"Large Scale Search for Optimal Logistic Knowledge Tracing Features."
In K. E. Boyer, & M. Yudelson (Eds.), Proceedings of the 11th International Conference on Educational Data Mining
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Peng, S. Wang, X., Niu, G, Zhang, H. & Hu, X.
"Fear of Negative Evaluation on Social Anxiety: Base On Cognitive Behavioral Model of Social Anxiety Disorder."
Psychological Development and Education
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Richey, J. E., Lobczowski, N. G., Carvalho, P. F., & Koedinger, K.
"Comprehensive Views of Math Learners: A Case for Modeling and Supporting Non-math Factors in Adaptive Math Software."
International Conference on Artificial Intelligence in Education
, 2020
, p.460
Rivers, Kelly and Harpstead, Erik and Koedinger, Ken
"Learning Curve Analysis for Programming: Which Concepts do Students Struggle With?"
Proceedings of the 2016 ACM Conference on International Computing Education Research
, 2016
, p.143--151
Rivers, K., & Koedinger, K. R.
"Data-driven hint generation in vast solution spaces: a self-improving python programming tutor"
International Journal of Artificial Intelligence in Education
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Romero, C., & Ventura, S.
"Educational data mining and learning analytics: An updated survey."
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
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Ros{\'e}, Carolyn Penstein and Ferschke, Oliver
"Technology Support for Discussion Based Learning: From Computer Supported Collaborative Learning to the Future of Massive Open Online Courses"
International Journal of Artificial Intelligence in Education
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Rosé, C. P.
"Expediting the cycle of data to intervention"
Learning: Research and Practice
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Rosé, C. P., McLaughlin, E., Liu, R., and Koedinger, K.
"Explanatory Learning Models: Why Machine Learning (Alone) is not the Answer."
Special issue on Learning Analytics and AI 2025: Politics, Pedagogy, and Practices, British Journal of Educational Technology
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Rus, V., Gautam, D., Bowman, D., Graesser, A.C., Shaeffer, D.
"Markov Analysis of Students' Professional Skills in Virtual Internships"
Proceedings of the 30th International Florida Artificial Intelligence Research Society Conference
, 2017
Rus, V., Graesser, A.C., Hu, X., and Cockroft, J.L.
"tandardizing Unstructured Interaction Data In Adaptive Instructional Systems"
In Proceedings of Lecture Notes in Computer Science (HCII 2019)
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Rus, V., Maharjan, N., Tamang, L.J., Yudelson, M., Berman, S., Fancsali, S.E., Ritter, S.
"An Analysis of Human Tutors' Actions in Tutorial Dialogues"
Proceedings of the 30th International Florida Artificial Intelligence Research Society
, 2017
Samridhi Choudhary, Christopher Bogart, Carolyn Rose and James Herbsleb
"Using productive collaboration bursts to analyze open source collaboration effectiveness"
Proceedings of the 27th IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER)
, 2020
Samridhi Choudhary, Christopher Bogart, Carolyn Rose and James Herbsleb
"Using productive collaboration bursts to analyze open source collaboration effectiveness."
Proceedings of the 27th IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER),
, 2020
Sankaranarayanan, S., Dashti, C., Bogart, C., Wang, X., Sakr, M., Rosé, C.
"When Optimal Team Formation is a Choice - Self-Selection versus Intelligent Team Formation Strategies in a Large Online Project-Based Course"
Proceedings of AI in Education 2018
, 2018
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