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Carolyn Penstein Rosé

Carolyn Penstein Rosé

D-Index & Metrics

Computer Science

D-Index
62
Citations
14922
World Ranking
2907
National Ranking
1430

Overview

Carolyn Penstein Rosé is affiliated with Carnegie Mellon University in the United States and specializes in computer science with a focus on artificial intelligence, computer science applications, developmental and educational psychology, information systems, and education. Their work spans interdisciplinary domains related to technology-enhanced learning and computational methods applied in educational and collaborative settings.

Their research covers a variety of topics, including:

  • Innovative Teaching and Learning Methods
  • Topic Modeling
  • Online Learning and Analytics
  • Natural Language Processing Techniques
  • Teaching and Learning Programming
  • Biomedical Text Mining and Ontologies
  • Intelligent Tutoring Systems and Adaptive Learning

Carolyn Penstein Rosé has published extensively, with a strong presence in venues such as arXiv (Cornell University) with 29 publications, the International Journal of Computer-Supported Collaborative Learning with 12 publications, Proceedings. with 11 publications, the Computer-Supported Collaborative Learning Conference with 7 publications, and the British Journal of Educational Technology with 5 publications.

Frequent collaborators include:

  • Sanna Järvelä
  • Shiyan Jiang
  • Jie Chao
  • Cansu Tatar
  • Atharva Naik

Notable recent papers include:

  • "Racial and Ethnic Disparities Among COVID-19 Cases in Workplace Outbreaks by Industry Sector - Utah, March 6-June 5, 2020" (2020), published in MMWR Morbidity and Mortality Weekly Report
  • "Disparities in COVID-19 Incidence, Hospitalizations, and Testing, by Area-Level Deprivation - Utah, March 3-July 9, 2020" (2020), published in MMWR Morbidity and Mortality Weekly Report
  • "Examining socially shared regulation and shared physiological arousal events with multimodal learning analytics" (2022), published in British Journal of Educational Technology
  • "A Supervised Approach to Predict Company Acquisition with Factual and Topic Features Using Profiles and News Articles on TechCrunch" (2021), published in Proceedings of the International AAAI Conference on Web and Social Media
  • "Orality-Grounded HCID: Understanding the Oral User" (2022), published in OPAL (Open@LaTrobe) (La Trobe University)

Best Publications

  • Intelligent tutoring systems with conversational dialogue

    Arthur C. Graesser;Kurt VanLehn;Carolyn P. Rosé;Pamela W. Jordan

  • CANTINA+: A Feature-Rich Machine Learning Framework for Detecting Phishing Web Sites

    Guang Xiang;Jason Hong;Carolyn P. Rose;Lorrie Cranor

  • Re-examining Whether, Why, and How Human-AI Interaction Is Uniquely Difficult to Design

    Qian Yang;Aaron Steinfeld;Carolyn Rosé;John Zimmerman

  • Analyzing collaborative learning processes automatically: Exploiting the advances of computational linguistics in computer-supported collaborative learning

    Carolyn Penstein Rosé;Yi-Chia Wang;Yue Cui;Jaime Arguello

  • Talk to me: foundations for successful individual-group interactions in online communities

    Jaime Arguello;Brian S. Butler;Elisabeth Joyce;Robert Kraut

  • Sentiment Analysis in MOOC Discussion Forums: What does it tell us?

    Miaomiao Wen;Diyi Yang;Carolyn Penstein Rosé

  • Stress Test Evaluation for Natural Language Inference

    Aakanksha Naik;Abhilasha Ravichander;Norman M. Sadeh;Carolyn Penstein Rosé

  • Detecting offensive tweets via topical feature discovery over a large scale twitter corpus

    Guang Xiang;Bin Fan;Ling Wang;Jason Hong

  • The Architecture of Why2-Atlas: A Coach for Qualitative Physics Essay Writing

    Kurt VanLehn;Pamela W. Jordan;Carolyn Penstein Rosé;Dumisizwe Bhembe

  • Author Age Prediction from Text using Linear Regression

    Dong Nguyen;Noah A. Smith;Carolyn P. Rosé

  • Computational sociolinguistics: A survey

    Dong Nguyen;A. Seza Doğruöz;Carolyn P. Rosé;Franciska de Jong

  • Tutorial Dialogue as Adaptive Collaborative Learning Support

    Rohit Kumar;Carolyn P. Rosé;Yi-Chia Wang;Mahesh Joshi

  • Proceedings of the 9th International Conference on Educational Data Mining (EDM 2016)

    Jo Yohan;Gaurav Tomar;Oliver Ferschke;Carolyn Penstein Rose

  • Architecture for Building Conversational Agents that Support Collaborative Learning

    R Kumar;Carolyn P Rosé

  • Towards an Agile Approach to Adapting Dynamic Collaboration Support to Student Needs

    David Adamson;Gregory Dyke;Hyeju Jang;Carolyn Penstein Rosé

  • Generalizing Dependency Features for Opinion Mining

    Unknown

  • Investigating How Student's Cognitive Behavior in MOOC Discussion Forums Affect Learning Gains.

    Xu Wang;Diyi Yang;Miaomiao Wen;Kenneth R. Koedinger

  • Data mining and education.

    Kenneth R. Koedinger;Sidney D'Mello;Elizabeth A. McLaughlin;Zachary A. Pardos

  • Social factors that contribute to attrition in MOOCs

    Carolyn Penstein Rosé;Ryan Carlson;Diyi Yang;Miaomiao Wen

  • Student agency to participate in dialogic science discussions

    Sherice N. Clarke;Iris Howley;Lauren Resnick;Carolyn Penstein Rosé

  • Spoken Versus Typed Human and Computer Dialogue Tutoring

    Diane J. Litman;Carolyn P. Rosé;Kate Forbes-Riley;Kurt Vanlehn

  • The Beginning of a Beautiful Friendship? Intelligent Tutoring Systems and MOOCs

    Vincent Aleven;Jonathan Sewall;Octav Popescu;Franceska Xhakaj

Frequent Co-Authors

Diyi Yang
Diyi Yang Stanford University
Kurt VanLehn
Kurt VanLehn Arizona State University
Vincent Aleven
Vincent Aleven Carnegie Mellon University
Kenneth R. Koedinger
Kenneth R. Koedinger Carnegie Mellon University
Ulrike Cress
Ulrike Cress Leibniz Institute for Neurobiology
Gerry Stahl
Gerry Stahl Drexel University
Frank Fischer
Frank Fischer Ludwig-Maximilians-Universität München
Dragan Gasevic
Dragan Gasevic Monash University
Alon Lavie
Alon Lavie Carnegie Mellon University
Alex Waibel
Alex Waibel Carnegie Mellon University

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