EDM

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

Mon Jun 29, 4:35 PM–5:00 PM · North 210

Privacy & Data Governance Synthetic Data & Simulated Learners Mathematics Education Intelligent Tutoring Systems

★ Notable speakers

René Kizilcec ★★ — Learning at scale; algorithmic fairness and equity in digital education

Kirk Vanacore ★ — Learning analytics; educational data mining; causal inference in tutoring; AI annotation of learning discourse at scale

Tackles de-identification in math tutoring data by investigating numeric ambiguity and benchmarking methods that preserve analytical utility on the MathEd-PII dataset.

Authors

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