Dr. Okan Bulut, PhD, MA, BA

Professor of Measurement, Evaluation, and Data Science 

Dr. Bulut’s research focuses on educational data science, learning analytics, and large-scale learning assessment. His work increasingly explores applications of machine learning and AI methods in educational contexts, including detecting learning patterns and improving assessment systems.

Dr. Ying Cui, PhD

Professor of Education in Measurement, Evaluation, and Data Science

Dr. Cui specializes in data-driven learning design, psychometrics, and quantitative modeling. Her recent research includes applying machine learning and data science techniques to understand cognitive development and student learning differences.

Steven Sheppard

Critical Disability Studies Researcher and Special Needs Teacher

Steven’s work bridges inclusive classroom practice, disability studies, and technology-enabled learning. He has contributed to research examining how digital tools (including AI-based supports) can enhance accessibility and identity-affirming learning experiences for neurodivergent students. 

Shelli Stocki

Remoted, Hybrid, and In Person Junior High and High School Teacher

Shelli has extensive international and domestic classroom and remote teaching experience, supporting students with diverse learning needs using digital learning tools in grounded pedagogy. Her insight helps ensure Inclue’s AI-powered features align with real classroom workflows and provide practical instructional benefit for students and teachers.