ARIES: An Intelligent Tutoring System Assisted by Conversational Agents. - Zhiqiang Cai 002; Arthur C. Graesser; Keith K. Millis; Diane F. Halpern; Patricia S. Wallace; Cristian Moldovan; Carol Forsyth (AIED, 2009)

Higher Contributions Correlate with Higher Learning Gains. - Carol Forsyth; Heather Butler; Arthur C. Graesser; Diane F. Halpern (EDM, 2010)

Critiquing Media Reports with Flawed Scientific Findings: Operation ARIES! A Game with Animated Agents and Natural Language Trialogues. - Arthur C. Graesser; Mary Anne Britt; Keith K. Millis; Patty Wallace; Diane F. Halpern; Zhiqiang Cai 002; Kris Kopp; Carol Forsyth (Intelligent Tutoring Systems (2), 2010)

Operation ARIES!: A Serious Game for Teaching Scientific Inquiry. - Keith K. Millis; Carol Forsyth; Heather Butler; Patty Wallace; Arthur C. Graesser; Diane F. Halpern (Serious Games and Edutainment Applications, 2011)

OperationARIES!: Aliens, Spies and Research Methods. - Carol Forsyth; Arthur C. Graesser; Keith K. Millis; Zhiqiang Cai 002; Diane F. Halpern (ACII (2), 2011)

Learning Gains for Core Concepts in a Serious Game on Scientific Reasoning. - Carol Forsyth; Philip I. Pavlik Jr.; Arthur C. Graesser; Zhiqiang Cai 002; Mae-Lynn Germany; Keith K. Millis; Heather Butler; Diane F. Halpern; Robert P. Dolan (EDM, 2012)

Accuracy of Tracking Student's Natural Language in Operation ARIES!, A Serious Game for Scientific Methods. - Zhiqiang Cai 002; Carol Forsyth; Mae-Lynn Germany; Arthur C. Graesser; Keith K. Millis (ITS, 2012)

Didactic Galactic: Types of Knowledge Learned in a Serious Game. - Carol Forsyth; Arthur C. Graesser; Breya Walker; Keith K. Millis; Philip I. Pavlik Jr.; Diane F. Halpern (AIED, 2013)

Discovering Theoretically Grounded Predictors of Shallow vs. Deep- level Learning. - Carol Forsyth; Arthur C. Graesser; Philip I. Pavlik Jr.; Keith K. Millis; Borhan Samei (EDM, 2014)

Exploring real-time student models based on natural-language tutoring sessions. - Benjamin Nye; Mustafa H. Hajeer; Carol Forsyth; Borhan Samei; Xiangen Hu; Keith K. Millis (EDM, 2014)

Predicting Performance Behaviors during Question Generation in a Game-Like Intelligent Tutoring System. - Carol Forsyth; Arthur C. Graesser; Borhan Samei; Breya Walker; Philip I. Pavlik (ICLS, 2014)

Moody Agents: Affect and Discourse During Learning in a Serious Game. - Carol M. Forsyth; Arthur C. Graesser; Andrew McGregor Olney; Keith K. Millis; Breya Walker; Zhiqiang Cai 002 (AIED, 2015)

Striking a Balance: User-Experience and Performance in Computerized Game-Based Assessment. - Carol M. Forsyth; G. Tanner Jackson; Delano Hebert; Blair Lehman; Pat Inglese; Lindsay D. Grace (AIED, 2017)

Interactive Score Reporting: An AutoTutor-Based System for Teachers. - Carol M. Forsyth; Stephanie Peters; Diego Zapata-Rivera; Jennifer Lentini; Art Graesser; Zhiqiang Cai 002 (AIED, 2017)

The Impact of Game-Like Features on Learning from an Intelligent Tutoring System. - Keith K. Millis; Carol Forsyth; Patricia S. Wallace; Arthur C. Graesser; Gary Timmins (Technol. Knowl. Learn., 2017)

Identifying Profiles of Collaborative Problem Solvers in an Online Electronics Environment. - Jessica Andrews-Todd; Carol Forsyth; Jonathan Steinberg; André Rupp (EDM, 2018)

Designing and Evaluating Reporting Systems in the Context of New Assessments. - Diego Zapata-Rivera; Priya Kannan; Carol Forsyth; Stephanie Peters; Andrew D. Bryant; Enruo Guo; Rodolfo Long (HCI (16), 2018)

Supporting Computational Thinking Skills for Adults. - Diego Zapata-Rivera; Carol Forsyth; Hillary Molloy (SLLL@AIED, 2019)

Are You Really a Team Player?: Profiles of collaborative problem solvers in an online environment. - Carol Forsyth; Jessica Andrews-Todd; Jonathan Steinberg (EDM, 2020)

Exploring social and cognitive dimensions of collaborative problem solving in an open online simulation-based task. - Jessica Andrews-Todd; Carol M. Forsyth (Comput. Hum. Behav., 2020)

Predicting Learning in a Multi-component Serious Game. - Carol M. Forsyth; Arthur C. Graesser; Keith K. Millis (Technol. Knowl. Learn., 2020)

Linguistic Profiles of Students Interacting with Conversation-Based Assessment Systems. - Carol Forsyth; Jesse R. Sparks; Jonathan Steinberg; Laura McCulla (EDM, 2022)

Learner Modeling in Conversation-Based Assessment. - Diego Zapata-Rivera; Carol M. Forsyth (HCI (31), 2022)

Complex Conversations: LLM vs. Knowledge Engineering Conversation-based Assessment. - Carol M. Forsyth; Diego Zapata-Rivera; Edith Aurora Graf; Yang Jiang (EDM, 2024)

Designing and Evaluating Evidence-Centered Design based Conversations for Assessment with LLMs. - Diego Zapata-Rivera; Carol Forsyth; Edith Aurora Graf; Yang Jiang (HEXED/L3MNGET@EDM, 2024)

An LLM-Enhanced Multi-agent Architecture for Conversation-Based Assessment. - Xinying Hou; Carol Forsyth; Jessica Andrews-Todd; James Rice; Zhiqiang Cai 002; Yang Jiang; Diego Zapata-Rivera; Art Graesser (AIED (2), 2025)

Generative Data Imputation for Sparse Learner Performance Data Using Generative Adversarial Imputation Networks. - Liang Zhang; Jionghao Lin; John Sabatini 001; Diego Zapata-Rivera; Carol Forsyth; Yang Jiang; John Hollander; Xiangen Hu; Arthur C. Graesser (CoRR, 2025)

Exploring Communication Strategies for Collaborative LLM Agents in Mathematical Problem-Solving. - Liang Zhang; Xiaoming Zhai; Jionghao Lin; Jennifer Kleiman; Diego Zapata-Rivera; Carol Forsyth; Yang Jiang; Xiangen Hu; Arthur C. Graesser (CoRR, 2025)