Rewriting Math Word Problems with Large Language Models. - Kole Norberg; Husni Almoubayyed; Stephen E. Fancsali; Logan De Ley; Kyle Weldon; April Murphy; Steven Ritter 001 (LLM@AIED, 2023)

Replicating an "Astonishing Regularity in Student Learning Rate". - Mary Ann Simpson; Kole A. Norberg; Stephen E. Fancsali (EDM, 2024)

Improving Student Learning with Hybrid Human-AI Tutoring: A Three-Study Quasi-Experimental Investigation. - Danielle R. Thomas; Jionghao Lin; Erin Gatz; Ashish Gurung; Shivang Gupta; Kole Norberg; Stephen E. Fancsali; Vincent Aleven; Lee G. Branstetter; Emma Brunskill; Kenneth R. Koedinger (LAK, 2024)

Examining the Use of an AI-Powered Teacher Orchestration Tool at Scale. - Emma Brunskill; Kole A. Norberg; Stephen Fancsali; Steven Ritter 001 (L@S, 2024)

Using Generative AI to Foster Student Sense of Belonging in Mathematics. - Kole Norberg; April Murphy; Logan De Ley; Ethan Shafran Moltz; Husni Almoubayyed; Steven Ritter 001 (AIED (6), 2025)

Math Content Readability, Student Reading Ability, and Behavior Associated with Gaming the System in Adaptive Learning Software. - Pranjli Khanna; Kaleb Mathieu; Kole Norberg; Husni Almoubayyed; Stephen Fancsali (EDM, 2025)

Linguistic Features Predicting Math Word Problem Readability Among Less-Skilled Readers. - Kole Norberg; Husni Almoubayyed; Stephen Fancsali (EDM, 2025)

Rewriting Content with GPT-4 to Support Emerging Readers in Adaptive Mathematics Software. - Kole A. Norberg; Husni Almoubayyed; Logan De Ley; April Murphy; Kyle Weldon; Steve Ritter 001 (Int. J. Artif. Intell. Educ., 2025)