Ha Nguyen, PhD
Assistant Professor, School of Education, University of North Carolina at Chapel Hill
I design and research technologies to promote deeper STEM knowledge, competency, and skills for diverse learners.
My current research has dual focus on Design and Analytics. From a Design perspective, I partner with students, educators, and community organizations to ground the design of technologies (e.g., conversational agents, learning dashboards) in learners' experiences. I further apply learning analytics methods to investigate how people construct knowledge in informal and formal learning environments, in collaboration with others or with AI technologies. This Analytics strand generates insights to inform technology design, to support human-human and human-AI exchanges towards productive learning. My research has been published in leading journals in learning analytics and science education, including Computers & Education, British Journal of Education Technology, Journal of Research in Science Teaching, and Journal of Learning Analytics. Before UNC, I was an Assistant Professor in Instructional Technology & Learning Sciences at Utah State University. I received a PhD in Education from University of California-Irvine, where I was mentored by Drs. June Ahn, Rossella Santagata, and Mark Warschauer.
I am the Principal Investigator (PI) on a National Science Foundation (NSF) grant investigating the use of multimodal large language models to provide formative feedback on science assessments, in ways that build on and enrich students' science understanding (BCSER #2422286; 2024-2027). I am Co-PI on another NSF grant exploring the co-design of conversational agents to support science communication with high school students, informal and formal educators, STEM professionals, and community representatives (ITEST #2241596; 2023-2026). This work aims to create insights around how conversational AI agents can be positioned to represent different community perspectives and promote equity-centered science learning.
I am recruiting PhD students in the Learning Sciences and Psychological Studies (LSPS) program at UNC Chapel Hill (for Fall 2025 enrollment).Selected Publications
See Google Scholars profile for full publication list. * = graduate students; ** = undergraduate students that I mentored.
Nguyen, H., Nguyen, V.*, Ludovise, S., & Santagata, R. (2024). From misrepresentation to inclusion: Promises of generative artificial intelligence in climate education. Learning, Media and Technology, 1-17. https://doi.org/10.1080/17439884.2024.2435834
Nguyen, H., & Hayward, J.** (2024). Applying generative Artificial Intelligence to critiquing science assessments. Journal of Science Education and Technology, 1-16. https://link.springer.com/article/10.1007/s10956-024-10177-x
Nguyen, H., & Nguyen, A. (2024). Reflective practices and self-regulated learning in designing with generative Artificial Intelligence: An ordered network analysis. Journal of Science Education and Technology, 1-15. https://link.springer.com/article/10.1007/s10956-024-10175-z
Campos, F., Nguyen, H., Ahn, J., & Jackson, K. (2024). Leveraging cultural forms in human-centered learning analytics design. British Journal of Educational Technology, 55(3), 769-784. https://doi.org/10.1111/bjet.13384
Nguyen, H.. (2023). Role design considerations of conversational agents to facilitate discussion and systems thinking. Computers & Education, 192. https://doi.org/10.1016/j.compedu.2022.104661
Nguyen, H., & Diederich, M.* (2023). Facilitating knowledge construction in informal learning: A study of TikTok scientific, educational videos. Computers & Education, 205. https://doi.org/10.1016/j.compedu.2023.104896
Nguyen, H., & Parameswaran, P.* (2023). Meaning making and relatedness: Exploring critical data literacies on social media. Information & Learning Sciences, 124 (5/6), 149-167. https://doi.org/10.1108/ILS-02-2023-0016
Nguyen, H., Lopez, J., Homer, B., Ali, A., & Ahn, J. (2023). Reminders, reflections, and relationships: Insights from the design of a chatbot for college advising. Information & Learning Sciences, 124(3/4), 128-146. https://doi.org/10.1108/ILS-10-2022-0116
Nguyen, H.. (2022). Let’s teach Kibot: Discovering discussion patterns between student groups and two conversational agent designs. British Journal of Educational Technology. http://doi.org/10.1111/bjet.13219
Campos, F., Ahn, J., Digiacomo, D., Nguyen, H., & Hays, M. (2021). Making sense of sensemaking: Understanding how K-12 teachers and coaches react to visual analytics. Journal of Learning Analytics, 8(3). https://www.learning-analytics.info/index.php/JLA/article/view/7113
Nguyen, H., Lim, K.Y., Wu, L., Fischer, C., & Warschauer, M. (2021). “We’re looking good”: Social exchange and regulation temporality in collaborative design. Learning & Instruction, 74 (2021). https://doi.org/10.1016/j.learninstruc.2021.101443 [pdf]
Ahn, J., Nguyen, H., & Campos, F. (2021). From visible to understandable: Designing for teacher agency in education data visualizations. Contemporary Issues in Technology And Teacher Education. [pdf]
Santagata, R., König, J., Scheiner, T., Nguyen, H., Adleff, A.-K., Yang, X., & Kaiser, G. (2021). Mathematics teacher learning to notice: A systematic review of studies of video-supported teacher education. ZDM - Mathematics Education. https://doi.org/10.1007/s11858-020-01216-z
Nguyen, H. & Santagata, R. (2020). Impact of computer modeling on learning and teaching systems thinking. Journal of Research in Science Teaching, 58(5), 661-688. https://doi.org/10.1002/tea.21674
Nguyen, H., Nguyen, V.*, López-Fierro, S.*, Ludovise, S., & Santagata, R. (2024, July). Simulating climate change discussion with Large Language Models: Considerations for science communication at scale. In Proceedings of the Eleventh ACM Conference on Learning@ Scale (pp. 28-38). https://dl.acm.org/doi/abs/10.1145/3657604.3662033
[Naomi Miyake Outstanding Student Paper Award] Lopez-Fierro, S.*, & Nguyen, H. (2024). Making Human-AI contributions transparent in qualitative coding. In Proceedings of the 17th International Conference on Computer-Supported Collaborative Learning-CSCL 2024, pp. 3-10. International Society of the Learning Sciences. https://repository.isls.org/handle/1/10537
Nguyen, H., & Allan, V. (2024, March). Using GPT-4 to provide tiered, formative code feedback. In Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 1 (pp. 958-964). https://dl.acm.org/doi/pdf/10.1145/3626252.3630960
Nguyen, H. (2023). TikTok as learning analytics data: Framing climate change and data practices. In LAK23: 13th International Conference on Learning Analytics and Knowledge (pp. 33-43). https://doi.org/10.1145/3576050.3576055
Nguyen, H. (2022). Examining teenagers’ perceptions of conversational agents in learning settings. In IDC’22: Interaction Design & Children (pp. 374-381). https://doi.org/10.1145/3501712.3529740
Nguyen, H. (2022). Learners’ reactions to chatbot communication breakdowns: Insights into fostering learning. In The 2nd Annual Meeting of the International Society of the Learning Sciences (Online). International Society of the Learning Sciences.
Nguyen, H. & Young, W. (2022). Knowledge construction and uncertainty in real world argumentation: A text analysis approach. In The 12th International Conference on Learning Analytics and Knowledge (LAK22). (pp. 34-44).https://dl.acm.org/doi/fullHtml/10.1145/3506860.3506864
Ahn, J., Nguyen, H., Campos, F., & Young, W. (2021). Transforming everyday information into practical analytics with crowdsourced assessment tasks. In The 11th International Conference on Learning Analytics and Knowledge (LAK21) https://doi.org/10.1145/3448139.3448146
Ahn, J., Campos, F., Nguyen, H., Hays, M., & Morrison, J. (2021). Co-Designing for privacy, transparency, and trust in K-12 learning analytics. In The 11th International Conference on Learning Analytics and Knowledge (LAK21) https://doi.org/10.1145/3448139.3448145
Nguyen, H., Ahn, J., Belgrave, A., Lee, J., Cawelti, L., Kim, H.E., Prado, Y., Santagata, R., & Villavicencio, A. (2021). Establishing trustworthiness through algorithmic approaches to qualitative research. In Second International Conference on Quantitative Ethnography. Springer. https://doi.org/10.1007/978-3-030-67788-6_4 [pdf]
Nguyen, H., Campos, F., & Ahn, J. (2021). Designing for generative uncertainty in learning dashboards. In Ifenthaler, D., & Muhittin, S. (Eds), Visualizations and dashboards for learning analytics (pp. 457-475). Springer, Cham.
Nguyen, H., Campos, F., & Ahn, J. (2021). Expanding the design space of data and action in education: What co-designing with educators reveal about current possibilities and limitations. In Bowers, A. (Ed), Data visualization, dashboards, and evidence use in schools: Data collaborative workshop perspectives of educators, researchers, and data scientists. Teachers College, Columbia University. New York, NY. https://doi.org/10.7916/d8-jj2g-e225
Projects
AISciComm: AI for Science Communication
We develop conversational agents to represent perspectives from scientists, environmental activists, and students, to promote equity-centered science communication in high school. This NSF-funded work represents a partnership with researchers at UC Irvine and community organizations in Orange County, CA.
DataScape: Developing Data Literacy in Elementary Grades
With funding from USU Research Catalyst Seed Grant, I collaborate with middle school teachers and Dr. Anna Miller from USU College of Natural Resources to develop a curriculum about data literacy and systems thinking. This work supports students to draw from personal experiences, knowledge, and assets to identify, collect, analyze, and communicate with data about recreation decision-making at different scales.
Kibot: Role Designs of Agents in Science Discussion
I designed different roles (a peer or an expert) for a conversational agent with students and informal educators. The agent provided discussion hints for high school students with different social and learning needs, to facilitate knowledge construction and understanding of environmental ecosystems.
Teaching
Design of Emerging Technologies for Education. Spring 2025. UNC Chapel Hill. Graduate Level
Generative AI for Learning and Innovation. Fall 2024. UNC Chapel Hill. Graduate Level.
Introduction to Learning Analytics. Spring 2024. Utah State University (USU). Graduate Level.
Games & Learning. Fall 2022, 2023. USU. Graduate Level.
Design Processes & Perspectives II. Spring 2023, 2024. USU. Undergraduate Level.