Kirk Vanacore

According to our database, Kirk Vanacore authored at least 30 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2026

Does the TalkMoves Codebook Generalize to One-on-One Tutoring and Multimodal Interaction?

Corina Luca Focsan, Marie Cynthia Abijuru Kamikazi, Tamisha Thompson, Jennifer St. John, Kirk Vanacore, Danielle R. Thomas, Kenneth R. Koedinger, René F. Kizilcec

CoRR, April, 2026

Domain-Adapted Retrieval for In-Context Annotation of Pedagogical Dialogue Acts.

Jinsook Lee, Kirk Vanacore, Zhuqian Zhou, Bakhtawar Ahtisham, René F. Kizilcec

CoRR, April, 2026

Modernizing Ground Truth: Four Shifts Toward Improving Reliability and Validity in AI in Education.

Danielle R. Thomas, Conrad Borchers, Kirk P. Vanacore, Kenneth R. Koedinger, René F. Kizilcec

CoRR, March, 2026

Optimizing LLM Annotation of Classroom Discourse through Multi-Agent Orchestration.

Bakhtawar Ahtisham, Kirk Vanacore, René F. Kizilcec

CoRR, March, 2026

Sandpiper: Orchestrated AI-Annotation for Educational Discourse at Scale.

Daryl Hedley, Doug Pietrzak, Jorge Dias, Ian Burden, Bakhtawar Ahtisham, Zhuqian Zhou, Kirk Vanacore, Josh Marland, Rachel Slama, Justin Reich, Kenneth R. Koedinger, René F. Kizilcec

CoRR, March, 2026

Tutor Move Taxonomy: A Theory-Aligned Framework for Analyzing Instructional Moves in Tutoring.

Zhuqian Zhou, Kirk Vanacore, Tamisha Thompson, Jennifer St. John, René F. Kizilcec

CoRR, March, 2026

The Path to Conversational AI Tutors: Integrating Tutoring Best Practices and Targeted Technologies to Produce Scalable AI Agents.

Kirk Vanacore, Ryan S. Baker, Avery Harrison Closser, Jeremy Roschelle

CoRR, February, 2026

A Causal Framework for Estimating Heterogeneous Effects of On-Demand Tutoring.

Kirk Vanacore, Danielle R. Thomas, Digory Smith, Bibi Groot, Justin Reich, René F. Kizilcec

CoRR, February, 2026

Utility-Preserving De-Identification for Math Tutoring: Investigating Numeric Ambiguity in the MathEd-PII Benchmark Dataset.

Zhuqian Zhou, Kirk Vanacore, Bakhtawar Ahtisham, Jinsook Lee, Doug Pietrzak, Daryl Hedley, Jorge Dias, Chris Shaw, Ruth Schäfer, René F. Kizilcec

CoRR, February, 2026

LLM Reasoning Predicts When Models Are Right: Evidence from Coding Classroom Discourse.

Bakhtawar Ahtisham, Kirk Vanacore, Zhuqian Zhou, Jinsook Lee, René F. Kizilcec

CoRR, February, 2026

Codebook-Injected Dialogue Segmentation for Multi-Utterance Constructs Annotation: LLM-Assisted and Gold-Label-Free Evaluation.

Jinsook Lee, Kirk Vanacore, Zhuqian Zhou, Bakhtawar Ahtisham, Jeanine Grutter, René F. Kizilcec

CoRR, January, 2026

AI Annotation Orchestration: Evaluating LLM Verifiers to Improve the Quality of LLM Annotations in Learning Analytics.

Bakhtawar Ahtisham, Kirk Vanacore, Jinsook Lee, Zhuqian Zhou, Doug Pietrzak, René F. Kizilcec

Proceedings of the LAK26: 16th International Learning Analytics and Knowledge Conference, 2026

2025

How well do Large Language Models Recognize Instructional Moves? Establishing Baselines for Foundation Models in Educational Discourse.

Kirk Vanacore, René F. Kizilcec

CoRR, December, 2025

Student Engagement in AI Assisted Complex Problem Solving: A Pilot Study of Human AI Rubik's Cube Collaboration.

Kirk Vanacore, Jaclyn Ocumpaugh, Forest Agostinelli, Dezhi Wu, Sai Krishna Revanth Vuruma, Matthew Irvin

CoRR, November, 2025

Learning to Love LLMs for Answer Interpretation: Chain-of-Thought Prompting and the AMMORE Dataset.

Owen Henkel, Hannah Horne-Robinson, Maria Dyshel, Greg Thompson, Ralph Abboud, Nabil Al Nahin Ch, Baptiste Moreau-Pernet, Kirk Vanacore

J. Learn. Anal., 2025

The Half-Life of Epistemic Emotions: How Motivation Influences Affective Chronometry.

Andres Felipe Zambrano, Jaclyn Ocumpaugh, Ryan S. Baker, Kirk Vanacore, Jordan Esiason, Jessica Vandenberg

Proceedings of the 18th International Conference on Educational Data Mining, 2025

CausalEDM: Linking Innovations in Instructional Design and the Complex Behaviors that Underlie Learning Processes and Outcomes.

Kirk Vanacore, Anthony F. Botelho, Avery Closser, Adam Sales, Neil T. Heffernan

Proceedings of the 18th International Conference on Educational Data Mining, 2025

How Much Mastery is Enough Mastery? The Relationship between Mastery in a Lesson and the Performance on the Subsequent Lesson.

Jiayi Zhang, Kirk Vanacore, Ryan S. Baker, Nabil Ch, Caitlin Mills, Owen Henkel

Proceedings of the 18th International Conference on Educational Data Mining, 2025

2024

The Effect of Assistance on Gamers: Assessing The Impact of On-Demand Hints & Feedback Availability on Learning for Students Who Game the System.

Kirk Vanacore, Ashish Gurung, Adam Sales, Neil T. Heffernan

Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024

Multiple Choice vs. Fill-In Problems: The Trade-off Between Scalability and Learning.

Ashish Gurung, Kirk Vanacore, Andrew A. McReynolds, Korinn S. Ostrow, Eamon Worden, Adam C. Sales, Neil T. Heffernan

Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024

Problem-Solving Behavior and EdTech Effectiveness: A Model for Exploratory Causal Analysis.

Adam C. Sales, Kirk P. Vanacore, Hyeon-Ah Kang, Tiffany A. Whittaker

Proceedings of the 17th International Conference on Educational Data Mining, 2024

LOOL: Towards Personalization with Flexible \& Robust Estimation of Heterogeneous Treatment Effects.

Duy M. Pham, Kirk P. Vanacore, Adam C. Sales, Johann Gagnon-Bartsch

Proceedings of the 17th International Conference on Educational Data Mining, 2024

Causal Inference in Educational Data Mining.

Anthony F. Botelho, Avery Harrison Closser, Adam C. Sales, Neil T. Heffernan, Kirk P. Vanacore

Proceedings of the 17th International Conference on Educational Data Mining, 2024

2023

Benefit of Gamification for Persistent Learners: Propensity to Replay Problems Moderates Algebra-Game Effectiveness.

Kirk Vanacore, Adam Sales, Allison S. Liu, Erin Ottmar

Proceedings of the Tenth ACM Conference on Learning @ Scale, 2023

How Common are Common Wrong Answers? Crowdsourcing Remediation at Scale.

Ashish Gurung, Sami Baral, Morgan P. Lee, Adam C. Sales, Aaron Haim, Kirk P. Vanacore, Andrew A. McReynolds, Hilary Kreisberg, Cristina Heffernan, Neil T. Heffernan

Proceedings of the Tenth ACM Conference on Learning @ Scale, 2023

Impact of Non-Cognitive Interventions on Student Learning Behaviors and Outcomes: An analysis of seven large-scale experimental inventions.

Kirk Vanacore, Ashish Gurung, Andrew A. McReynolds, Allison S. Liu, Stacy T. Shaw, Neil T. Heffernan

Proceedings of the LAK 2023: 13th International Learning Analytics and Knowledge Conference, 2023

Identification, Exploration, and Remediation: Can Teachers Predict Common Wrong Answers?

Ashish Gurung, Sami Baral, Kirk P. Vanacore, Andrew A. McReynolds, Hilary Kreisberg, Anthony F. Botelho, Stacy T. Shaw, Neil T. Heffernan

Proceedings of the LAK 2023: 13th International Learning Analytics and Knowledge Conference, 2023

Effective Evaluation of Online Learning Interventions with Surrogate Measures.

Ethan Prihar, Kirk Vanacore, Adam Sales, Neil T. Heffernan

Proceedings of the 16th International Conference on Educational Data Mining, 2023

2021

Longitudinal Clusters of Online Educator Portal Access: Connecting Educator Behavior to Student Outcomes.

Kirk Vanacore, Kevin Dieter, Lisa Hurwitz, Jamie Studwell

Proceedings of the LAK'21: 11th International Learning Analytics and Knowledge Conference, 2021

2020

Differential Responses to Personalized Learning Recommendations Revealed by Event-Related Analysis.

Kevin Dieter, Jamie Studwell, Kirk Vanacore

Proceedings of the 13th International Conference on Educational Data Mining, 2020