17 papers
Redact or Keep? A Fully Local AI Cascade for Educational Dialogue De-Identification
Haocheng Zhang, Zhuqian Zhou, Kirk Vanacore +2
Educational dialogue is a valuable but sensitive resource for research: the same transcripts that capture authentic learning often capture personally identifiable information (PII)…
Utility-Preserving De-Identification for Math Tutoring: Investigating Numeric Ambiguity in the MathEd-PII Benchmark Dataset
Zhuqian Zhou, Kirk Vanacore, Bakhtawar Ahtisham +7
Large-scale sharing of dialogue data is key to advancing the science of teaching and learning, yet rigorous de-identification remains a major barrier. In mathematics tutoring trans…
A Causal Framework for Estimating Heterogeneous Effects of On-Demand Tutoring
Kirk Vanacore, Danielle R Thomas, Digory Smith +3
This paper introduces a scalable causal inference framework for estimating the immediate, session-level effects of on-demand human tutoring embedded within adaptive learning system…
GEEPERs: Principal Stratification using Principal Scores and Stacked Estimating Equations
Adam C. Sales, Kirk P. Vanacore, Erin R. Ottmar
Principal stratification is a framework for making sense of causal effects conditioned on variables that may themselves have been affected by the treatment. For instance, in an eva…
Does the TalkMoves Codebook Generalize to One-on-One Tutoring and Multimodal Interaction?
Corina Luca Focsan, Marie Cynthia Abijuru Kamikazi, Tamisha Thompson +5
Accountable Talk theory has been widely adopted to analyze classroom discourse and is increasingly used to annotate tutoring interactions. In particular, the TalkMoves codebook, gr…
Sandpiper: Orchestrated AI-Annotation for Educational Discourse at Scale
Daryl Hedley, Doug Pietrzak, Jorge Dias +9
Digital educational environments are expanding toward complex AI and human discourse, providing researchers with an abundance of data that offers deep insights into learning and in…