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ORCIDCarolyn P. Rosé
Carolyn Penstein Rosé
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- affiliation: Carnegie Mellon University, Language Technologies Institute, Pittsburgh, PA, USA
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2020 – today
- 2023
[j62]Andy Nguyen
, Sanna Järvelä, Carolyn P. Rosé, Hanna Järvenoja, Jonna Malmberg:
Examining socially shared regulation and shared physiological arousal events with multimodal learning analytics. Br. J. Educ. Technol. 54(1): 293-312 (2023)- [j61]Alyssa Friend Wise, Carolyn P. Rosé, Sanna Järvelä:
Editorial: Nine elements for robust collaborative learning analytics: A constructive collaborative critique. Int. J. Comput. Support. Collab. Learn. 18(1): 1-9 (2023) - [j60]Carolyn P. Rosé, Sanna Järvelä:
Enhancing student learning and achievement through orchestration of group processes and group composition. Int. J. Comput. Support. Collab. Learn. 18(3): 323-327 (2023) - [j59]Shiyan Jiang, Yingxiao Qian, Hengtao Tang, Rabia Yalcinkaya, Carolyn P. Rosé, Jie Chao, William Finzer:
Examining computational thinking processes in modeling unstructured data. Educ. Inf. Technol. 28(4): 4309-4333 (2023) - [c237]Jie Chao, Rebecca Ellis, Shiyan Jiang, Carolyn P. Rosé, William Finzer, Cansu Tatar, James Fiacco, Kenia Wiedemann:
Exploring Artificial Intelligence in English Language Arts with StoryQ. AAAI 2023: 15999-16003 - [c236]Sireesh Gururaja, Ritam Dutt, Tinglong Liao, Carolyn P. Rosé:
Linguistic representations for fewer-shot relation extraction across domains. ACL (1) 2023: 7502-7514 - [c235]Armineh Nourbakhsh, Sameena Shah, Carolyn P. Rosé:
Using counterfactual contrast to improve compositional generalization for multi-step quantitative reasoning. ACL (1) 2023: 14930-14943 - [c234]James Fiacco, David Adamson, Carolyn P. Rosé:
Towards Extracting and Understanding the Implicit Rubrics of Transformer Based Automatic Essay Scoring Models. BEA@ACL 2023: 232-241 - [c233]Jie Chao, William Finzer, Carolyn P. Rosé, Shiyan Jiang, Rebecca Ellis, Kenia Wiedemann, Cansu Tatar, James Fiacco:
Teach Artificial Intelligence with StoryQ, A Web-Based Machine Learning and Text Mining Tool for K-12 Students. SIGCSE (2) 2023: 1262 - [i32]Luis Morales-Navarro, Yasmin B. Kafai, Francisco Enrique Vicente Castro, William Christopher Payne, Kayla DesPortes, Daniella DiPaola, Randi Williams, Safinah Ali, Cynthia Breazeal, Clifford H. Lee, Elisabeth Soep, Duri Long, Brian Magerko, Jaemarie Solyst, Amy Ogan, Cansu Tatar, Shiyan Jiang, Jie Chao, Carolyn P. Rosé, Sepehr Vakil:
Making Sense of Machine Learning: Integrating Youth's Conceptual, Creative, and Critical Understandings of AI. CoRR abs/2305.02840 (2023) - [i31]Sireesh Gururaja, Ritam Dutt, Tinglong Liao, Carolyn P. Rosé:
Linguistic representations for fewer-shot relation extraction across domains. CoRR abs/2307.03823 (2023) - 2022
- [j58]Viktoria Pammer-Schindler, Carolyn P. Rosé:
Data-Related Ethics Issues in Technologies for Informal Professional Learning. Int. J. Artif. Intell. Educ. 32(3): 609-635 (2022) - [j57]Shiyan Jiang, Amato Nocera, Cansu Tatar, Michael Miller Yoder, Jie Chao, Kenia Wiedemann, William Finzer, Carolyn P. Rosé:
An empirical analysis of high school students' practices of modelling with unstructured data. Br. J. Educ. Technol. 53(5): 1114-1133 (2022) - [j56]Sanna Järvelä, Carolyn P. Rosé:
Relations Matter - CSCL Research Informing and Developing CL Competencies. Int. J. Comput. Support. Collab. Learn. 17(2): 185-189 (2022) - [j55]Carolyn P. Rosé, Sanna Järvelä:
Supporting perspective taking across chasms of thinking: Do real-time analytics hold the key? Int. J. Comput. Support. Collab. Learn. 17(3): 327-331 (2022) - [j54]Sanna Järvelä, Carolyn P. Rosé:
Novel CSCL design processes prompted by exploration of role-playing and emotions. Int. J. Comput. Support. Collab. Learn. 17(4): 457-461 (2022) - [j53]Aakanksha Naik, Jill Lehman, Carolyn P. Rosé:
Adapting to the Long Tail: A Meta-Analysis of Transfer Learning Research for Language Understanding Tasks. Trans. Assoc. Comput. Linguistics 10: 956-980 (2022) - [j52]Qi Wang, Carolyn P. Rosé, Ning Ma, Shiyan Jiang, Haogang Bao, Yanyan Li:
Design and Application of Automatic Feedback Scaffolding in Forums to Promote Learning. IEEE Trans. Learn. Technol. 15(2): 150-166 (2022) - [j51]Irmtraud Wolfbauer, Viktoria Pammer-Schindler, Katharina Maitz, Carolyn P. Rosé:
A Script for Conversational Reflection Guidance: A Field Study on Developing Reflection Competence With Apprentices. IEEE Trans. Learn. Technol. 15(5): 554-566 (2022) - [j50]Sreecharan Sankaranarayanan, Siddharth Reddy Kandimalla, Christopher A. Bogart, R. Charles Murray, Michael Hilton, Majd F. Sakr, Carolyn P. Rosé:
Collaborative Programming for Work-Relevant Learning: Comparing Programming Practice With Example-Based Reflection for Student Learning and Transfer Task Performance. IEEE Trans. Learn. Technol. 15(5): 594-604 (2022) - [c232]William Finzer, Jie Chao, Carolyn P. Rosé, Shiyan Jiang:
StoryQ - an Online Environment for Machine Learning of Text Classification. AAAI 2022: 12860 - [c231]Armineh Nourbakhsh, Cathy Jiao, Sameena Shah, Carolyn P. Rosé:
Improving compositional generalization for multi-step quantitative reasoning in question answering. EMNLP 2022: 1916-1932 - [c230]Justin Lovelace, Carolyn P. Rosé:
A Framework for Adapting Pre-Trained Language Models to Knowledge Graph Completion. EMNLP 2022: 5937-5955 - [c229]Qinlan Shen, Carolyn P. Rosé:
A Tale of Two Subreddits: Measuring the Impacts of Quarantines on Political Engagement on Reddit. ICWSM 2022: 932-943 - [c228]Cansu Tatar, Duncan Culbreth, Shiyan Jiang, Carolyn P. Rosé, Jie Chao, Rebecca Ellis, Shan Jiang, Kenia Wiedemann:
High School Students' Sense-making of Artificial Intelligence and Machine Learning. Koli Calling 2022: 32:1-32:2 - [c227]Rafael Jiménez Silva, Kaushik Gedela, Alex Marr, Bart Desmet, Carolyn P. Rosé, Chunxiao Zhou:
QA4IE: A Quality Assurance Tool for Information Extraction. LREC 2022: 4497-4503 - [c226]Ritam Dutt, Kasturi Bhattacharjee, Rashmi Gangadharaiah, Dan Roth, Carolyn P. Rosé:
PerKGQA: Question Answering over Personalized Knowledge Graphs. NAACL-HLT (Findings) 2022: 253-268 - [c225]Jie Chao, Bill Finzer, Carolyn P. Rosé, Shiyan Jiang, Michael Yoder, James Fiacco, Chas Murray, Cansu Tatar, Kenia Wiedemann:
StoryQ: A Web-Based Machine Learning and Text Mining Tool for K-12 Students. SIGCSE (2) 2022: 1178 - [i30]Hao-Ren Yao, Luke Breitfeller, Aakanksha Naik, Chunxiao Zhou, Carolyn P. Rosé:
Multi-Scale Contrastive Co-Training for Event Temporal Relation Extraction. CoRR abs/2209.00568 (2022) - 2021
- [j49]Carolyn P. Rosé:
Enlichenment: insights towards AI impact in education through a mycelial partnership between research, policy, and practice. AI Matters 7(2): 10-11 (2021) - [j48]Nancy Law, Sanna Järvelä, Carolyn P. Rosé:
Exploring multilayered collaboration designs. Int. J. Comput. Support. Collab. Learn. 16(1): 1-5 (2021) - [j47]Sanna Järvelä, Carolyn P. Rosé:
Forms of collaboration matters: CSCL across the contexts. Int. J. Comput. Support. Collab. Learn. 16(2): 145-149 (2021) - [j46]Carolyn P. Rosé, Sanna Järvelä:
A theory-driven reflection on context-aware support for collaborative discussions in light of analytics, affordances, and platforms. Int. J. Comput. Support. Collab. Learn. 16(4): 435-440 (2021) - [j45]Denis Newman-Griffis, Guy Divita, Bart Desmet, Ayah Zirikly, Carolyn P. Rosé, Eric Fosler-Lussier:
Ambiguity in medical concept normalization: An analysis of types and coverage in electronic health record datasets. J. Am. Medical Informatics Assoc. 28(3): 516-532 (2021) - [j44]Shikhar Vashishth, Denis Newman-Griffis, Rishabh Joshi, Ritam Dutt, Carolyn P. Rosé:
Improving broad-coverage medical entity linking with semantic type prediction and large-scale datasets. J. Biomed. Informatics 121: 103880 (2021) - [j43]Xu Wang, Meredith M. Thompson, Kexin Yang, Dan Roy, Kenneth R. Koedinger, Carolyn P. Rosé, Justin Reich:
Practice-Based Teacher Questioning Strategy Training with ELK: A Role-Playing Simulation for Eliciting Learner Knowledge. Proc. ACM Hum. Comput. Interact. 5(CSCW1): 51:1-51:27 (2021) - [c224]Justin Lovelace, Denis Newman-Griffis, Shikhar Vashishth, Jill Fain Lehman, Carolyn P. Rosé:
Robust Knowledge Graph Completion with Stacked Convolutions and a Student Re-Ranking Network. ACL/IJCNLP (1) 2021: 1016-1029 - [c223]Xu Wang, Carolyn P. Rosé, Ken Koedinger:
Seeing Beyond Expert Blind Spots: Online Learning Design for Scale and Quality. CHI 2021: 51:1-51:14 - [c222]Ritam Dutt, Sopan Khosla, Carolyn P. Rosé:
A pipelined approach to Anaphora Resolution in Chemical Patents. CLEF (Working Notes) 2021: 710-719 - [c221]Ritam Dutt, Sayan Sinha, Rishabh Joshi, Surya Shekhar Chakraborty, Meredith Riggs, Xinru Yan, Haogang Bao, Carolyn P. Rosé:
ResPer: Computationally Modelling Resisting Strategies in Persuasive Conversations. EACL 2021: 78-90 - [c220]Qinlan Shen, Carolyn P. Rosé:
What Sounds "Right" to Me? Experiential Factors in the Perception of Political Ideology. EACL 2021: 1762-1771 - [c219]Aakanksha Naik, Jill Fain Lehman, Carolyn P. Rosé:
Adapting Event Extractors to Medical Data: Bridging the Covariate Shift. EACL 2021: 2963-2975 - [c218]Xiaopeng Lu, Zhen Fan, Yansen Wang, Jean Oh, Carolyn P. Rosé:
Localize, Group, and Select: Boosting Text-VQA by Scene Text Modeling. ICCVW 2021: 2631-2639 - [c217]Sreecharan Sankaranarayanan, Siddharth Reddy Kandimalla, Christopher Bogart, R. Charles Murray, Michael Hilton, Majd Sakr, Carolyn P. Rosé:
Combining Collaborative Reflection based on Worked-Out Examples with Problem-Solving Practice: Designing Collaborative Programming Projects for Learning at Scale. L@S 2021: 255-258 - [c216]Sopan Khosla, James Fiacco, Carolyn P. Rosé:
Evaluating the Impact of a Hierarchical Discourse Representation on Entity Coreference Resolution Performance. NAACL-HLT 2021: 1645-1651 - [c215]Denis Newman-Griffis, Jill Fain Lehman, Carolyn P. Rosé, Harry Hochheiser:
Translational NLP: A New Paradigm and General Principles for Natural Language Processing Research. NAACL-HLT 2021: 4125-4138 - [i29]Ritam Dutt, Sayan Sinha, Rishabh Joshi, Surya Shekhar Chakraborty, Meredith Riggs, Xinru Yan, Haogang Bao, Carolyn Penstein Rosé:
RESPER: Computationally Modelling Resisting Strategies in Persuasive Conversations. CoRR abs/2101.10545 (2021) - [i28]Denis Newman-Griffis, Jill Fain Lehman, Carolyn P. Rosé, Harry Hochheiser:
Translational NLP: A New Paradigm and General Principles for Natural Language Processing Research. CoRR abs/2104.07874 (2021) - [i27]Sopan Khosla, James Fiacco, Carolyn P. Rosé:
Evaluating the Impact of a Hierarchical Discourse Representation on Entity Coreference Resolution Performance. CoRR abs/2104.10215 (2021) - [i26]Luke Breitfeller, Aakanksha Naik, Carolyn P. Rosé:
STAGE: Tool for Automated Extraction of Semantic Time Cues to Enrich Neural Temporal Ordering Models. CoRR abs/2105.07314 (2021) - [i25]Justin Lovelace, Denis Newman-Griffis, Shikhar Vashishth, Jill Fain Lehman, Carolyn Penstein Rosé:
Robust Knowledge Graph Completion with Stacked Convolutions and a Student Re-Ranking Network. CoRR abs/2106.06555 (2021) - [i24]Sreecharan Sankaranarayanan, Siddharth Reddy Kandimalla, Christopher Bogart, R. Charles Murray, Haokang An, Michael Hilton, Majd Sakr, Carolyn P. Rosé:
Comparing Example-Based Collaborative Reflection to Problem Solving Practice for Learning during Team-Based Software Engineering Projects. CoRR abs/2107.00218 (2021) - [i23]Xiaopeng Lu, Zhen Fan, Yansen Wang, Jean Oh, Carolyn P. Rosé:
Localize, Group, and Select: Boosting Text-VQA by Scene Text Modeling. CoRR abs/2108.08965 (2021) - [i22]Aakanksha Naik, Jill Lehman, Carolyn P. Rosé:
Adapting to the Long Tail: A Meta-Analysis of Transfer Learning Research for Language Understanding Tasks. CoRR abs/2111.01340 (2021) - 2020
- [j42]Carolyn P. Rosé, Sanna Järvelä, Sten R. Ludvigsen:
Experiencing CSCL: from motivation to the embodied experience and beyond. Int. J. Comput. Support. Collab. Learn. 15(1): 1-4 (2020) - [j41]Sanna Järvelä, Carolyn P. Rosé:
Advocating for group interaction in the age of COVID-19. Int. J. Comput. Support. Collab. Learn. 15(2): 143-147 (2020) - [j40]Carolyn P. Rosé, Sanna Järvelä:
Building community together: towards equitable CSCL practices and processes. Int. J. Comput. Support. Collab. Learn. 15(3): 249-255 (2020) - [c214]Aakanksha Naik, Carolyn P. Rosé:
Towards Open Domain Event Trigger Identification using Adversarial Domain Adaptation. ACL 2020: 7618-7624 - [c213]Sreecharan Sankaranarayanan, Siddharth Reddy Kandimalla, Sahil Hasan, Haokang An, Christopher Bogart, R. Charles Murray, Michael Hilton, Majd Sakr, Carolyn P. Rosé:
Agent-in-the-Loop: Conversational Agent Support in Service of Reflection for Learning During Collaborative Programming. AIED (2) 2020: 273-278 - [c212]Guy Divita, Bart Desmet, Ayah Zirikly, Luke Breitfeller, Carolyn P. Rosé:
Angelfish: Building a Structurally Diverse Clinical Document Corpus. AMIA 2020 - [c211]Denis R. Newman-Griffis, Guy Divita, Bart Desmet, Ayah Zirikly, Carolyn P. Rosé, Eric Fosler-Lussier:
Ambiguity in Medical Concept Normalization: An Analysis of Types and Coverage in Electronic Health Record Datasets. AMIA 2020 - [c210]Qian Yang, Aaron Steinfeld, Carolyn P. Rosé, John Zimmerman:
Re-examining Whether, Why, and How Human-AI Interaction Is Uniquely Difficult to Design. CHI 2020: 1-13 - [c209]Irmtraud Wolfbauer, Viktoria Pammer-Schindler, Carolyn P. Rosé:
Rebo Junior: Analysis of Dialogue Structure Quality for a Reflection Guidance Chatbot. EC-TEL (Impact Papers) 2020 - [c208]Yansen Wang, Zhen Fan, Carolyn P. Rosé:
Incorporating Multimodal Information in Open-Domain Web Keyphrase Extraction. EMNLP (1) 2020: 1790-1800 - [c207]Ritam Dutt, Rishabh Joshi, Carolyn P. Rosé:
Keeping Up Appearances: Computational Modeling of Face Acts in Persuasion Oriented Discussions. EMNLP (1) 2020: 7473-7485 - [c206]Sopan Khosla, Shikhar Vashishth, Jill Fain Lehman, Carolyn P. Rosé:
MedFilter: Improving Extraction of Task-relevant Utterances through Integration of Discourse Structure and Ontological Knowledge. EMNLP (1) 2020: 7781-7797 - [c205]Xu Wang, Meredith M. Thompson, Kexin Yang, Dan Roy, Kenneth R. Koedinger, Carolyn Penstein Rosé, Justin Reich:
Practice-Based Teacher Education With ELK: A Role-Playing Simulation for Eliciting Learner Knowledge. ICLS 2020 - [c204]Laura R. Larke, Garron Hillaire, Hao Chen, Ritam Dutt, Carolyn Penstein Rosé, Justin Reich:
Cognitive Dissonance and Equity: Designing Digital Simulations for K-12 Computer Science Teacher Education. ICLS 2020 - [c203]Sreecharan Sankaranarayanan, Siddharth Reddy Kandimalla, Sahil Hasan, Haokang An, Christopher Bogart, R. Charles Murray, Michael Hilton, Majd Sakr, Carolyn P. Rosé:
Creating Opportunities for Transactive Exchange for Learning in Performance-Oriented Team Projects. ICLS 2020 - [c202]Yansen Wang, R. Charles Murray, Haogang Bao, Carolyn P. Rosé:
Agent-Based Dynamic Collaboration Support in a Smart Office Space. SIGdial 2020: 257-260 - [c201]Samridhi Choudhary, Christopher Bogart, Carolyn P. Rosé, Jim Herbsleb:
Using Productive Collaboration Bursts to Analyze Open Source Collaboration Effectiveness. SANER 2020: 400-410 - [c200]Michael Miller Yoder, Qinlan Shen, Yansen Wang, Alex Coda, Yunseok Jang, Yale Song, Kapil Thadani, Carolyn P. Rosé:
Phans, Stans and Cishets: Self-Presentation Effects on Content Propagation in Tumblr. WebSci 2020: 39-48 - [i21]Shikhar Vashishth, Rishabh Joshi, Ritam Dutt, Denis Newman-Griffis, Carolyn P. Rosé:
MedType: Improving Medical Entity Linking with Semantic Type Prediction. CoRR abs/2005.00460 (2020) - [i20]Aakanksha Naik, Carolyn P. Rosé:
Towards Open Domain Event Trigger Identification using Adversarial Domain Adaptation. CoRR abs/2005.11355 (2020) - [i19]Aakanksha Naik, Jill Lehman, Carolyn P. Rosé:
Adapting Event Extractors to Medical Data: Bridging the Covariate Shift. CoRR abs/2008.09266 (2020) - [i18]Ritam Dutt, Rishabh Joshi, Carolyn Penstein Rosé:
Keeping Up Appearances: Computational Modeling of Face Acts in Persuasion Oriented Discussions. CoRR abs/2009.10815 (2020) - [i17]Sopan Khosla, Shikhar Vashishth, Jill Fain Lehman, Carolyn P. Rosé:
MedFilter: Improving Extraction of Task-relevant Utterances through Integration of Discourse Structure and Ontological Knowledge. CoRR abs/2010.02246 (2020) - [i16]Sopan Khosla, Carolyn P. Rosé:
Using Type Information to Improve Entity Coreference Resolution. CoRR abs/2010.05738 (2020)
2010 – 2019
- 2019
- [j39]Carolyn P. Rosé, Elizabeth A. McLaughlin, Ran Liu, Kenneth R. Koedinger:
Explanatory learner models: Why machine learning (alone) is not the answer. Br. J. Educ. Technol. 50(6): 2943-2958 (2019) - [j38]Tong Zhang, Nikolaos V. Sahinidis, Carolyn Penstein Rosé, Satyajith Amaran, Bo Shuang:
Forty years of Computers and Chemical Engineering: Analysis of the field via text mining techniques. Comput. Chem. Eng. 129 (2019) - [j37]Carolyn P. Rosé, Nancy Law, Ulrike Cress, Sten R. Ludvigsen:
Highlighting tools and technologies for collaborative learning. Int. J. Comput. Support. Collab. Learn. 14(1): 1-6 (2019) - [j36]Ulrike Cress, Carolyn P. Rosé, Nancy Law, Sten R. Ludvigsen:
Investigating the complexity of computer-supported collaborative learning in action. Int. J. Comput. Support. Collab. Learn. 14(2): 137-142 (2019) - [j35]Carolyn Penstein Rosé:
Monolith, Multiplicity or Multivocality: What do we stand for and where do we go from here? J. Learn. Anal. 6(3) (2019) - [c199]Aakanksha Naik, Abhilasha Ravichander, Carolyn P. Rosé, Eduard H. Hovy:
Exploring Numeracy in Word Embeddings. ACL (1) 2019: 3374-3380 - [c198]James Fiacco, Samridhi Choudhary, Carolyn P. Rosé:
Deep Neural Model Inspection and Comparison via Functional Neuron Pathways. ACL (1) 2019: 5754-5764 - [c197]Sreecharan Sankaranarayanan, Xu Wang, Cameron Dashti, Marshall An, Clarence Ngoh, Michael Hilton, Majd Sakr, Carolyn P. Rosé:
An Intelligent-Agent Facilitated Scaffold for Fostering Reflection in a Team-Based Project Course. AIED (2) 2019: 252-256 - [c196]Abhilasha Ravichander, Aakanksha Naik, Carolyn P. Rosé, Eduard H. Hovy:
EQUATE: A Benchmark Evaluation Framework for Quantitative Reasoning in Natural Language Inference. CoNLL 2019: 349-361 - [c195]Sreecharan Sankaranarayanan, Xu Wang, Cameron Dashti, Haokang An, Clarence Ngoh, Michael Hilton, Majd Sakr, Carolyn P. Rosé:
Online Mob Programming: Bridging the 21st Century Workplace and the Classroom. CSCL 2019 - [c194]Dimitra Tsovaltzi, Armin Weinberger, Lara Johanna Schmitt, Henrik Bellhäuser, Adrienne Müller, Johannes Konert, René Röpke, Hannie Gijlers, Elise H. Eshuis, Tessa H. S. Eysink, Melanie Erkens, Sven Manske, Heinz Ulrich Hoppe, Daniel Bodemer, Sreecharan Sankaranarayanan, Cameron Dashti, Christopher Bogart, Xu Wang, Majd Sakr, Michael Hilton, Carolyn P. Rosé:
Group Formation in the Digital Age: Relevant Characteristics, Their Diagnosis, and Combination for Productive Collaboration. CSCL 2019 - [c193]Byungsoo Jeon, Eyal Shafran, Luke Breitfeller, Jason Levin, Carolyn P. Rosé:
Time-series Insights into the Process of Passing or Failing Online University Courses using Neural-Induced Interpretable Student States. EDM 2019 - [c192]James Fiacco, Elena Cotos, Carolyn P. Rosé:
Towards Enabling Feedback on Rhetorical Structure with Neural Sequence Models. LAK 2019: 310-319 - [c191]Xu Wang, Srinivasa Teja Talluri, Carolyn P. Rosé, Kenneth R. Koedinger:
UpGrade: Sourcing Student Open-Ended Solutions to Create Scalable Learning Opportunities. L@S 2019: 17:1-17:10 - [c190]Aakanksha Naik, Luke Breitfeller, Carolyn P. Rosé:
TDDiscourse: A Dataset for Discourse-Level Temporal Ordering of Events. SIGdial 2019: 239-249 - [i15]Abhilasha Ravichander, Aakanksha Naik, Carolyn P. Rosé, Eduard H. Hovy:
EQUATE: A Benchmark Evaluation Framework for Quantitative Reasoning in Natural Language Inference. CoRR abs/1901.03735 (2019) - [i14]Byungsoo Jeon, Eyal Shafran, Luke Breitfeller, Jason Levin, Carolyn P. Rosé:
Time-series Insights into the Process of Passing or Failing Online University Courses using Neural-Induced Interpretable Student States. CoRR abs/1905.00422 (2019) - [i13]Rahul Radhakrishnan Iyer, Carolyn Penstein Rosé:
A Machine Learning Framework for Authorship Identification From Texts. CoRR abs/1912.10204 (2019) - [i12]Margaret-Anne D. Storey, Alexander Serebrenik, Carolyn Penstein Rosé, Thomas Zimmermann, James D. Herbsleb:
BOTse: Bots in Software Engineering (Dagstuhl Seminar 19471). Dagstuhl Reports 9(11): 84-96 (2019) - 2018
- [j34]Sten R. Ludvigsen, Ulrike Cress, Nancy Law, Gerry Stahl, Carolyn P. Rosé:
Multiple forms of regulation and coordination across levels in educational settings. Int. J. Comput. Support. Collab. Learn. 13(1): 1-6 (2018) - [j33]You Su, Yanyan Li, Hening Hu, Carolyn P. Rosé:
Exploring college English language learners' self and social regulation of learning during wiki-supported collaborative reading activities. Int. J. Comput. Support. Collab. Learn. 13(1): 35-60 (2018) - [j32]Marcela Borge, Yann Shiou Ong, Carolyn Penstein Rosé:
Learning to monitor and regulate collective thinking processes. Int. J. Comput. Support. Collab. Learn. 13(1): 61-92 (2018) - [j31]Nancy Law, Carolyn P. Rosé, Ulrike Cress, Sten R. Ludvigsen:
Different technologies, methodologies and epistemologies - is CSCL a community or communities? Int. J. Comput. Support. Collab. Learn. 13(2): 131-136 (2018) - [j30]Ulrike Cress, Gerry Stahl, Carolyn P. Rosé, Nancy Law, Sten R. Ludvigsen:
Forming social systems by coupling minds at different levels of cognition: Design, tools, and research methods. Int. J. Comput. Support. Collab. Learn. 13(3): 235-240 (2018) - [j29]Sten R. Ludvigsen, Ulrike Cress, Carolyn P. Rosé, Nancy Law, Gerry Stahl:
Developing understanding beyond the given knowledge and new methodologies for analyses in CSCL. Int. J. Comput. Support. Collab. Learn. 13(4): 359-364 (2018) - [c189]Sreecharan Sankaranarayanan, Cameron Dashti, Christopher Bogart, Xu Wang, Majd Sakr, Carolyn Penstein Rosé:
When Optimal Team Formation Is a Choice - Self-selection Versus Intelligent Team Formation Strategies in a Large Online Project-Based Course. AIED (1) 2018: 518-531 - [c188]Aakanksha Naik, Abhilasha Ravichander, Norman M. Sadeh, Carolyn P. Rosé, Graham Neubig:
Stress Test Evaluation for Natural Language Inference. COLING 2018: 2340-2353 - [c187]Xu Wang, Yali Chen, Amanda Godley, Carolyn P. Rosé:
Public Peer Review Motivates Higher Quality Feedback. ICLS 2018 - [c186]Shayan Doroudi, Joseph Jay Williams, Juho Kim, Thanaporn Patikorn, Korinn Ostrow, Douglas Selent, Neil T. Heffernan, Thomas T. Hills, Carolyn P. Rosé:
Crowdsourcing and Education: Towards a Theory and Praxis of Learnersourcing. ICLS 2018 - [c185]Iris K. Howley, Carolyn P. Rosé:
Empirical Evidence for Evaluation Anxiety and Expectancy-Value Theory for Help Sources. ICLS 2018 - [c184]Qinlan Shen, Michael Miller Yoder, Yohan Jo, Carolyn P. Rosé:
Perceptions of Censorship and Moderation Bias in Political Debate Forums. ICWSM 2018: 350-359 - [c183]