Research

Our research investigates how AI can help teachers create better learning materials, stronger assessments, and more accessible classroom resources

Assessment Quality

Our research focuses on reducing common item-writing flaws, improving distractor quality, avoiding unintended cueing.

Differentiation

We evaluate how well AI can adapt passages, explanations, questions, and supports across grade levels while preserving meaning, rigor, and classroom usefulness.

Alignment to Standards & Pedagogy

We research methods for aligning generated materials to standards, learning objectives, and research-backed teaching best-practices.

Teacher-Computer Interaction

We study how teachers prompt, review, adapt, and reuse AI-generated materials in real classroom planning workflows.

Your AI Tool Promised Grade-Level Reading. Did You Check?

Mar 31, 2026 4:59:46 PM

EdTech AI tools make bold promises. They'll differentiate for you. They'll match your standards....

We Trained an AI Model That Writes Better Multiple Choice Questions. Here’s the Evidence.

Dec 28, 2025 6:29:16 AM

Writing good multiple-choice questions (MCQs) is well studied and well known to be difficult, even...

Date	Type	Category	Title
2026 (Pre-Print)	Conference Proceedings	Differentiation	Toward Grade-Aligned Educational Text Generation with Training-Free Readability Steering
2026 (Pre-Print)	Conference Proceedings	Assessment Quality	Improving Multiple Choice Questions Using Synthetic Data
2026	Conference Proceedings	Teacher-Computer Interaction	AI Predicting Lesson Plans: The Influence of Teacher and Textbook
2026	Book	Teacher-Computer Interaction	Irreplaceable