publications

2026

1. EAAI

   AI Unplugged: Embodied Interactions for AI Literacy in Higher Education

   Jennifer M. Reddig, Scott Moon, Kaitlyn Crutcher, and Christopher J. MacLellan

   In Proceedings of the AAAI Conference on Artificial Intelligence, Mar 2026

   PDF Video

2. Guidelines for Designing AI Technologies to Support Adult Learning

   Jennifer Reddig, Glen R Smith Jr, Sanaz Ahmadzadeh Siyahrood, Wesley G Morris, Yoojin Bae, Kaitlyn Crutcher, John Kos, Rahul K Dass, Jinho Kim, Momin Naushad Siddiqui, and  others

   In Proceedings of the 2026 Designing Interactive Systems Conference, Mar 2026
3. Teaching AI Interactively: A Case Study in Higher Education

   Jennifer M Reddig, Scott Moon, Kaitlyn Crutcher, and Christopher J MacLellan

   arXiv preprint arXiv:2603.28679, Mar 2026

2025

1. AIED

   Beyond final answers: Evaluating large language models for math tutoring

   Adit Gupta, Jennifer Reddig, Tommaso Calo, Daniel Weitekamp, and Christopher J MacLellan

   In International Conference on Artificial Intelligence in Education, Mar 2025

   HTML PDF
2. IJAIED

   Generating In-Context, Personalized Feedback for Intelligent Tutors with Large Language Models

   Jennifer M Reddig, Arav Arora, and Christopher J MacLellan

   International Journal of Artificial Intelligence in Education, Jul 2025

   HTML PDF

2024

1. L@S

   HTN-Based Tutors: A New Intelligent Tutoring Framework Based on Hierarchical Task Networks

   Momin N. Siddiqui, Adit Gupta, Jennifer M. Reddig, and Christopher J. MacLellan

   In Proceedings of the Eleventh ACM Conference on Learning @ Scale, Jul 2024

   Abs HTML PDF

   Intelligent tutors have shown success in delivering a personalized and adaptive learning experience. However, there exist challenges regarding the granularity of knowledge in existing frameworks and the resulting instructions they can provide. To address these issues, we propose HTN-based tutors, a new intelligent tutoring framework that represents expert models using Hierarchical Task Networks (HTNs). Like other tutoring frameworks, it allows flexible encoding of different problem-solving strategies while providing the additional benefit of a hierarchical knowledge organization. We leverage the latter to create tutors that can adapt the granularity of their scaffolding. This organization also aligns well with the compositional nature of skills.

2. arXiv

   Intelligent Tutors for Adult Learners: An Analysis of Needs and Challenges

   Adit Gupta, Momin Siddiqui, Glen Smith, Jenn Reddig, and Christopher MacLellan

   Jul 2024

   arXiv HTML PDF