AIED

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

Fri Jul 3, 2:00 PM–2:25 PM · North 203

★ Notable speakers

Kenneth R. Koedinger ★★ — Cognitive Tutor; LearnLab/PSLC; cognitive science of learning and AIED

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

Danielle R. Thomas ★ — Human-AI hybrid tutoring; educational equity; AI-augmented tutoring for students with disabilities

Conrad Borchers ★ — AI-supported self-regulated learning; intelligent tutoring systems; educational data mining; ordered network analysis

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

A paper proposing four shifts to modernize how ground truth is established in AI-in-education research, aiming to improve reliability and validity.

Authors