Rewriting Math Word Problems to Improve Learning Outcomes for Emerging Readers: A Randomized Field Trial in Carnegie Learning's MATHia. - Husni Almoubayyed; Rae Bastoni; Susan R. Berman; Sarah Galasso; Megan Jensen; Leila Lester; April Murphy; Mark Swartz; Kyle Weldon; Stephen E. Fancsali; Jess Gropen; Steven Ritter 001 (AIED (Posters/Late Breaking Results/...), 2023)

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)

Generalizing Predictive Models of Reading Ability in Adaptive Mathematics Software. - Husni Almoubayyed; Stephen Fancsali; Steven Ritter 001 (EDM, 2023)

Instruction-Embedded Assessment for Reading Ability in Adaptive Mathematics Software. - Husni Almoubayyed; Stephen E. Fancsali; Steven Ritter 001 (LAK, 2023)

Hierarchical Dependencies in Classroom Settings Influence Algorithmic Bias Metrics. - Clara Belitz; Haejin Lee; Nidhi Nasiar; Stephen E. Fancsali; Steven Ritter 001; Husni Almoubayyed; Ryan S. Baker 001; Jaclyn Ocumpaugh; Nigel Bosch (LAK, 2024)

Exploring Student Identity in Adaptive Learning Systems Through Qualitative Data. - Clara Belitz; Haejin Lee; Nidhi Nasiar; Stephen E. Fancsali; Frank Stinar; Husni Almoubayyed; Steven Ritter 001; Ryan Baker 001; Jaclyn Ocumpaugh; Nigel Bosch (AIED (5), 2025)

An Agentic Framework for Real-Time Pedagogical Plot Generation. - S. Thomas Christie; Anna N. Rafferty; Zack Lee; Ella Cutler; Yu Tian; Husni Almoubayyed (AIED (5), 2025)

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)

Evaluating an AI Tutor for Bias Across Different Foundation Models. - Aditya Vinodh; Emma Harvey; Husni Almoubayyed; Renzhe Yu; Christopher Brooks 001; Allison Koenecke; René F. Kizilcec (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)

Fairness of Bayesian Knowledge Tracing for Math Learners of Different Reading Ability. - Frank Stinar; Haejin Lee; Clara Belitz; Nidhi Nasiar; Stephen Fancsali; Steve Ritter 001; Husni Almoubayyed; Ryan Baker 001; Jaclyn Ocumpaugh; Nigel Bosch (EDM, 2025)

Predicting Long-Term Student Outcomes from Short-Term EdTech Log Data. - Ge Gao; Amelia Leon; Andrea Jetten; Jasmine Turner; Husni Almoubayyed; Stephen Fancsali; Emma Brunskill (LAK, 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)