| Re-examining Whether, Why, and How Human-AI Interaction Is Uniquely Difficult to Design Q Yang, A Steinfeld, C Rosé, J Zimmerman Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems …, 2020 | 825 | 2020 |
| Cantina+ a feature-rich machine learning framework for detecting phishing web sites G Xiang, J Hong, CP Rose, L Cranor ACM Transactions on Information and System Security (TISSEC) 14 (2), 1-28, 2011 | 712 | 2011 |
| Intelligent tutoring systems with conversational dialogue AC Graesser, K VanLehn, CP Rosé, PW Jordan, D Harter AI magazine 22 (4), 39, 2001 | 696 | 2001 |
| When are tutorial dialogues more effective than reading? K VanLehn, AC Graesser, GT Jackson, P Jordan, A Olney, CP Rosé Cognitive Science 31 (1), 3-62, 2007 | 652 | 2007 |
| Turn on, tune in, drop out: Anticipating student dropouts in massive open online courses D Yang, T Sinha, D Adamson, CP Rosé Proceedings of the 2013 NIPS Data-Driven Education Workshop, 2013 | 643 | 2013 |
| Analyzing collaborative learning processes automatically: Exploiting the advances of computational linguistics in computer-supported collaborative learning C Rosé, YC Wang, Y Cui, J Arguello, K Stegmann, A Weinberger, ... International Journal of Computer-Supported Collaborative Learning 3 (3 …, 2008 | 571 | 2008 |
| Talk to me: Foundations for successful individual-group interactions in online communities J Arguello, BS Butler, E Joyce, R Kraut, KS Ling, C Rosé, X Wang Proceedings of the SIGCHI conference on Human Factors in computing systems …, 2006 | 560 | 2006 |
| Sentiment Analysis in MOOC Discussion Forums: What does it tell us? M Wen, D Yang, CP Rosé Proceedings of Educational Data Mining, 2014 | 536 | 2014 |
| Stress Test Evaluation for Natural Language Inference A Naik, A Ravichander, N Sadeh, C Rose, G Neubig arXiv preprint arXiv:1806.00692, 2018 | 461 | 2018 |
| Detecting offensive tweets via topical feature discovery over a large scale twitter corpus G Xiang, B Fan, L Wang, J Hong, C Rose Proceedings of the 21st ACM international conference on Information and …, 2012 | 408 | 2012 |
| Computational Sociolinguistics: A Survey D Nguyen, AS Doğruöz, CP Rosé, F de Jong arXiv preprint arXiv:1508.07544, 2015 | 346 | 2015 |
| The architecture of Why2-Atlas: A coach for qualitative physics essay writing K VanLehn, P Jordan, C Rosé, D Bhembe, M Böttner, A Gaydos, ... Intelligent tutoring systems, 158-167, 2002 | 316 | 2002 |
| Author age prediction from text using linear regression D Nguyen, NA Smith, CP Rosé Proceedings of the 5th ACL-HLT Workshop on Language Technology for Cultural …, 2011 | 301 | 2011 |
| Towards an agile approach to adapting dynamic collaboration support to student needs D Adamson, G Dyke, H Jang, CP Rosé International Journal of Artificial Intelligence in Education 24 (1), 91-121, 0 | 258* | |
| Investigating How Student's Cognitive Behavior in MOOC Discussion Forums Affect Learning Gains. X Wang, D Yang, M Wen, K Koedinger, CP Rosé International Educational Data Mining Society, 2015 | 249 | 2015 |
| Tutorial dialogue as adaptive collaborative learning support R Kumar, CP Rosé, YC Wang, M Joshi, A Robinson Proceeding of the 2007 conference on Artificial Intelligence in Education …, 2007 | 242 | 2007 |
| Architecture for building conversational agents that support collaborative learning R Kumar, CP Rose IEEE Transactions on Learning Technologies 4 (1), 21-34, 2011 | 235 | 2011 |
| Data mining and education KR Koedinger, S D'Mello, EA McLaughlin, ZA Pardos, CP Rosé Wiley Interdisciplinary Reviews: Cognitive Science 6 (4), 333-353, 2015 | 222 | 2015 |
| Student agency to participate in dialogic science discussions SN Clarke, I Howley, L Resnick, CP Rosé Learning, Culture and Social Interaction 10, 27-39, 2016 | 212 | 2016 |
| Explanatory learner models: Why machine learning (alone) is not the answer CP Rosé, EA McLaughlin, R Liu, KR Koedinger British Journal of Educational Technology 50 (6), 2943-2958, 2019 | 211 | 2019 |
Rohit KumarMajorBoost, VoiceThesisVerified email at rohitkumar.net
