3 citations · 4 across the 11 of their papers we have counts for
13 papers
Examining Variation in How Guided AI Tutors Resolve Student Impasses
Bakhtawar Ahtisham, Kirk Vanacore, Alessandra Napoli +5
When a student is stuck, a tutor faces the assistance dilemma: help given too early can hinder productive struggle, while help withheld too long leaves the student in a frustrating…
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)…
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…
Million Tutoring Moves (MTM): An Open Multimodal Dataset for the Science of Tutoring
René Kizilcec, Kirk Vanacore, Zhuqian Zhou +8
We introduce the Million Tutoring Moves (MTM) project, an open dataset initiative aimed at advancing the science of tutoring through large-scale, reusable, and multimodal interacti…
Domain-Adapted Retrieval for In-Context Annotation of Pedagogical Dialogue Acts
Jinsook Lee, Kirk Vanacore, Zhuqian Zhou +2
Automated annotation of pedagogical dialogue is a high-stakes task where LLMs often fail without sufficient domain grounding. We present a domain-adapted RAG pipeline for tutoring…
Can You Tell It's AI? Human Perception of Synthetic Voices in Vishing Scenarios
Zoha Hayat Bhatti, Bakhtawar Ahtisham, Seemal Tausif +3
Large Language Models and commercial speech synthesis systems now enable highly realistic AI-generated voice scams (vishing), raising urgent concerns about deception at scale. Yet…
Optimizing LLM Annotation of Classroom Discourse through Multi-Agent Orchestration
Bakhtawar Ahtisham, Kirk Vanacore, Rene F. Kizilcec
Large language models (LLMs) are increasingly positioned as scalable tools for annotating educational data, including classroom discourse, interaction logs, and qualitative learnin…
LLM Reasoning Predicts When Models Are Right: Evidence from Coding Classroom Discourse
Bakhtawar Ahtisham, Kirk Vanacore, Zhuqian Zhou +2
Large Language Models (LLMs) are increasingly deployed to automatically label and analyze educational dialogue at scale, yet current pipelines lack reliable ways to detect when mod…
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…
Codebook-Injected Dialogue Segmentation for Multi-Utterance Constructs Annotation: LLM-Assisted and Gold-Label-Free Evaluation
Jinsook Lee, Kirk Vanacore, Zhuqian Zhou +3
Dialogue Act (DA) annotation typically treats communicative or pedagogical intent as localized to individual utterances or turns. This leads annotators to agree on the underlying a…
System X: A Mobile Voice-Based AI System for EMR Generation and Clinical Decision Support in Low-Resource Maternal Healthcare
Maryam Mustafa, Umme Ammara, Amna Shahnawaz +5
We present the design, implementation, and in-situ deployment of a smartphone-based voice-enabled AI system for generating electronic medical records (EMRs) and clinical risk alert…
AI Annotation Orchestration: Evaluating LLM verifiers to Improve the Quality of LLM Annotations in Learning Analytics
Bakhtawar Ahtisham, Kirk Vanacore, Jinsook Lee +3
Large Language Models (LLMs) are increasingly used to annotate learning interactions, yet concerns about reliability limit their utility. We test whether verification-oriented orch…
Shiksha Copilot: Teacher-AI Collaboration for Curating and Customizing Lesson Plans in Low-Resource Schools
Deepak Varuvel Dennison, Bakhtawar Ahtisham, Kavyansh Chourasia +6
This study investigates Shiksha copilot, an AI-assisted lesson planning tool deployed in government schools across Karnataka, India. The system combined LLMs and human expertise th…