Joey Huang
An educational researcher, a learning scientist, and a designer.
Joey Huang is an Assistant Professor of Learning, Design, & Technology at North Carolina State University. With a background in educational psychology and computing, Dr. Huang’s research focuses on advancing computational thinking, educational technology, and equity in STEAM learning. Previously, Dr. Huang served as a postdoctoral researcher in Computer Science at the University of California, Irvine, within the Creativity Labs and Connected Learning Lab. Through NSF-funded projects, including ReCrafting Computer Science, Dr. Huang integrates tangible crafts with computational thinking to broaden participation in computer science among underrepresented groups. Recognized with awards such as the ACM CHI Honorable Mention and AERA’s Best Student Paper, Dr. Huang specializes in AI-driven educational technologies, exploring how learners co-design with AI in STEAM contexts. Dr. Huang’s work aims to create personalized, interactive learning experiences for K-12 and undergraduate students, fostering a more inclusive and engaging pathway to STEM education.
About Me
Education
Ph.D. Indiana University Bloomington,
Major - Learning and Developmental Sciences,
Minor - Inquiry Methodology
M.A. The University of Texas at Austin, Educational Psychology
Current & Previous Positions
Assistant Professor
Learning, Design, & Technology, College of Education, North Carolina State University
Postdoctoral Researcher
School of Information and Computer Sciences, University of California, Irvine
Graduate Researcher
Center for Research on Learning & Technology, Indiana University Bloomington
Graduate Assistant, 3D Printing and Design Lead
Center of Excellence for Women in Technology, Indiana University Bloomington
Associate Instructor
Department of Counseling and Educational Psychology, Indiana University Bloomington
Research Assistant
Department of Educational Psychology, The University of Texas at Austin
Research Keywords
computational thinking, collaboration, women in STEM, STEAM education, educational technologies
Selected Publications
Journal Articles
Huang, J., Han, A., Villanueva, A., Liu, Z., Zhu, Z., Ramani, K., Peppler, K. (2024). Deepening Children’s STEM learning through making and creative writing. International Journal of Child-Computer Interaction. https://doi.org/10.1016/j.ijcci.2024.100651
Jiang, S., Huang, J., Lee, H. S. (2023). Visualizing qualitative data: Unpacking the complexities and nuances of technology-supported learning processes. Educational Technology Research and Development, 1-19.
Huang, J., Parker, M. (2022). Developing computational thinking collaboratively: The nexus of computational practices within small groups. Journal of Computer Science Education. https://doi.org/10.1080/08993408.2022.2039488
Peppler, K., Huang, J., Richey, M. C., Ginda, M., Börner, K., Quinlan, H., Hart, A. J. (2020). Key principles for workforce upskilling via online learning: A learning analytics study of a professional course in additive manufacturing. arXiv preprint. https://arxiv.org/abs/2008.06610
Huang, J., Hmelo-Silver, C. E., Jordan, R., Gray, S., Frensley, T., Newman, G., & Stern, M. J. (2018). Scientific discourse of citizen scientists: Models as a boundary object for collaborative problem solving. Computers in Human Behavior, 87, 480-492. https://doi.org/10.1016/j.chb.2018.04.004
Gray, S., Jordan, R., Crall, A., Newman, G., Hmelo-Silver, C., Huang, J., Whitney, N., Mellor, D., Frensley, T., Prysby, M. & Singer, A. (2017). Combining participatory modelling and citizen science to support volunteer conservation action. Biological Conservation, 208, 76-86. https://doi.org/10.1016/j.biocon.2016.07.037
Referred Conference Proceedings
Huang, J. (2024). Parsing the use of computational concepts with Scratch projects. In J. Clarke-Midura, I. Kollar, X. Gu, & C. D’Angelo (Eds.) 17th International Conference on Computer-Supported Collaboartive Learning (CSCL) (pp. 293-296). Buffalo, New York: International Society of the Learning Sciences. *Best Paper Nomination.
Huang, J., Cawelti, L., Peppler, K. (2023). Exploring algorithm building through designing and making kinetic sculpture. In P. Blikstein, J. V. Aalst, R. Kizito, & K. Brennan (Eds.) 17th International Conference of the Learning Sciences (ICLS) (pp. 1494-1497). Montreal, Canada: International Society of the Learning Sciences.
Zhu, Z., Liu, Z., Zhang Y., Zhu, L., Huang, J., Villanueva, A., Qian, X., Peppler, K., Ramani, K. (2023). LearnIoTVR: An end-to-end virtual reality environment providing authentic learning experiences for Internet of Things. The ACM CHI Conference on Human Factors in Computing Systems 2023. *Honorable Mention Award
Huang, J., Han, A., Sedas, M., Telfer-Radzat, K.,& Peppler, K., (2022). Crafting paper circuits: Gendered materials for circuitry learning. In J. Oshima, T. Mochizuki, & Y. Hayashi (Eds.), International Collaboration toward Educational Innovation for All: International Society of the Learning Sciences (ISLS) Annual Meeting 2022. Hiroshima, Japan.
Huang, J., Han, A., Sedas, M., Telfer-Radzat, K.,& Peppler, K., (2022). Crafting paper circuits: Gendered materials for circuitry learning. In J. Oshima, T. Mochizuki, & Y. Hayashi (Eds.), International Collaboration toward Educational Innovation for All: International Society of the Learning Sciences (ISLS) Annual Meeting 2022. Hiroshima, Japan.
Huang, J. (2020). Exploring computational thinking practices through collaborative design activities. In C. Girvan, J. R. Byrne, B. Tangney, & V. Dagiené (Eds.), Exploring, Testing and Extending our Understanding of Constructionism: Constructionism 2020 (pp. 95-96). Dublin, Ireland: ACM (conference cancelled, proceedings published).