About
Dani is a PhD student in the Educational Communication and Technology program at New York University. His research explores how conversations with AI affect children's learning and cognition. His approach draws on scholarship from instructional design, computational cognitive science, and human-computer interaction.
Prior to joining NYU, Dani spent a decade as a learning experience designer and product owner across higher education, startups, and non-profits. He holds an MA in Instructional Technology and Media from Columbia University (Teachers College), and a BA in History from Queen Mary University of London.
Publications
Huang, X., Ochoa, X., & Hiterer, D. (2026, June). The TME framework: multimodal learner modeling for active listening skills in collaborative problem solving. In International Conference on Artificial Intelligence in Education (pp. 416-430). Cham: Springer Nature Switzerland.
Hiterer, D., & McGourty, J. (2023). To guide or stand aside? Instructor guidance and student use of conversational AI in a pre-college entrepreneurship course. Instructor Guidance and Student Use of Conversational AI in a Pre-College Entrepreneurship Course (December 2023).