- Hedayati, M. and Kay, M. (2024). What University Students Learn in Visualization Classes. IEEE VIS.
- Hedayati, M., Hunt, A., Kay, M. (2024). From pixels to practices: Reconceptualizing visualization literacy. Toward a More Comprehensive Understanding of Visualization Literacy (CHI Workshop).
- Hedayati, M., Kay, M. (2023). "Choose-your-own" D3 labs for learning to adapt online code. EduVis: Visualization Education, Literacy, and Activities (VIS Workshop).
- Yang, F., Hedayati, M., Kay, M. (2023). Subjective Probability Correction for Uncertainty Representations. ACM CHI.
- Swanson, H., Martin, K., Jones, B., Wu, S., Hedayati, M., Sherin, B., Wilensky, U. (2021). Characterizing the Nature of Student Theory Building in the Context of Computational Modeling Activities. American Educational Research Association.
- Brown, V. A., Hedayati, M., Zanger, A., Mayn, S., Ray, L., Dillman-Hasso, N., & Strand, J. F. (2018). What accounts for individual differences in susceptibility to the McGurk effect?. PLOS ONE.
- Brown, V., Chen, X., Hedayati, M., Sikes, C., Strand, J., Wilson, T., & Liben-Nowell, D. (2018). Node Ordering for Rescalable Network Summarization (or, the Apparent Magic of Word Frequency and Age of Acquisition in the Lexicon). International Conference on Complex Networks and their Applications.