Research Publications
Interface Lab is dedicated to producing cutting-edge research in the field of Human-Machine Communication (HMC) and beyond. Our publications cover a wide range of topics, from AI chatbots and virtual reality platforms to digital health tools and algorithmic media. Dive into our latest findings below!
Large-enrollment courses present structural challenges to inclusive and relational pedagogy, particularly when instructional labor is shared across teaching teams that include graduate teaching assistants (GTAs). This study examines inclusive teaching as a communicative and practical process enacted through co-education, the coordinated instructional work of faculty and GTAs. Using a diary-based reflexive design, four doctoral GTAs contributed teaching journals across one semester of an undergraduate Communication Theory course. Reflexive thematic analysis identified four themes: collaborative course design, communication as pedagogical infrastructure, equitable assessment, and reflexive care. The study offers the Co-Educators Framework as an illustrative account of how shared, communicative pedagogical labor may support inclusive teaching in team-taught courses. Implications are offered for GTA development and communication pedagogy.
Recommended Citation
S., D., Luo, M., Jacob, J., Dyuti, S. S., & Main, V. M. (2026). The Co-Educators Framework: An illustrative account of shared pedagogical practice and inclusive teaching in a large-enrollment communication course. Journal of Communication Pedagogy, 10, 37–55. https://doi.org/10.31446/JCP.2026.1.04