Assistant Professor, Instructional Technology & Learning Sciences, Utah State University
I study the co-design of technology-supported learning with teachers, students, and community partners.
A central question for my research is: How can we promote deeper learning in STEM through responsive digital environments?
I draw from the fields of learning sciences, learning analytics, and human-computer interactions to answer this question.
(1) I partner with educators and community partners to design interface and computer-supported learning activities, and study design principles that facilitate educators' sensemaking of data about students' learning.
(2) I experiment with ways to systematically process education textual data, using human-algorithmic approaches.
(3) I apply quantitative research methodologies (e.g., quasi-experimental designs for generalized causal inference, process mining, and social network analyses), to understand the impact of instructional interventions on different student populations.
Nguyen, H. Role Design Considerations of Conversational Agents to Facilitate Discussion and Systems Thinking. (in press). Computers & Education.
Nguyen, H. Let’s Teach Kibot: Discovering Discussion Patterns between Student Groups and Two Conversational Agent Designs. (2022). British Journal of Educational Technology. http://doi.org/10.1111/bjet.13219
Campos, F., Ahn, J., Digiacomo, D., Nguyen, H., & Hays, M. One chart, many meanings: Making sense of sensemaking in learning analytics dashboard design. (2021). Journal of Learning Analytics. 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. (2021). 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. https://doi.org/10.1002/tea.21674
Nguyen, H. & Jenkins, J. (2020). In or out of sync: Federal funding and research in early childhood. AERA Open, 6(4). https://doi.org/10.1177/2332858420979568
Zhou, N., Nguyen, H., Fischer, C., Richardson, D., & Warschauer, M. (2020). Hybrid professional development program to promote high school teachers’ self-efficacy in computer science classroom. ACM Transactions on Computing Education. https://dl.acm.org/doi/10.1145/3410631
Nguyen, H., Wu, L., Fischer, C., Washington, G., & Warschauer, M. (2020). Increasing success in college: Examining the impact of a project-based introductory engineering course. Journal of Engineering Education. https://doi.org/10.1002/jee.20319
Nguyen, H. (2022). Learners’ Reactions to Chatbot Communication Breakdowns: Insights into Fostering Learning. [Short Paper] In The 2nd Annual Meeting of the International Society of the Learning Sciences (Online). International Society of the Learning Sciences. (accepted).
Nguyen, H. & Young, W. (2022). Knowledge construction and uncertainty in real world argumentation: A text analysis approach. [Full Paper]. In The 12th International Conference on Learning Analytics and Knowledge (LAK21).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. [Full Paper]. 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. [Full Paper]. 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). [Full Paper]. 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., Ahn, J., Young, W., & Campos, F. (2020). Where's the Learning in Education Crowdsourcing? In Proceedings of the Seventh (2020) Annual ACM Conference on Learning@ Scale. https://doi.org/10.1145/3386527.3406734
Nguyen, H., Wu, L., Washington, G., Lim, K.Y., & Fischer, C. (2020). Collaboration patterns and design practices in first-year project-based engineering. Proceedings of the 2020 American Society for Engineering Education Annual Conference & Exposition. [pdf]
Nguyen, H., Lim, K.Y., Wu, L. Fischer, C., & Warschauer, M. (2020). “I thought we said”: Perceived peer support, discourse cohesion, and regulation in engineering design. 14th International Conference of the Learning Sciences: Interdisciplinarity of the Learning Sciences, ICLS 2020. International Society of the Learning Sciences (ISLS). [pdf]
Nguyen, H., Garcia, L., Jacob, S., Richardson, D., & Warschauer, M. (2020). Reflection as formative assessment of computational thinking in elementary grades. 14th International Conference of the Learning Sciences: Interdisciplinarity of the Learning Sciences, ICLS 2020. International Society of the Learning Sciences (ISLS). [pdf]
Nguyen, H., Campos, F., & Ahn, J. (in press). 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), Reports from the NSF School Data Collaborative Workshop.
Rosenberg, J., & Nguyen, H.. (in press). How K-12 School Districts Communicated During the COVID-19 Pandemic: A Study Using Facebook Data. Poster presented at The 11th International Conference on Learning Analytics and Knowledge (LAK21).
Nguyen, H., Ludovise, S., Wang, J., Huse, J., & Santagata, R. (2021, April). Modeling Tools and Systems Thinking Patterns in Middle School. Paper presented at AERA Annual Meeting 2021.
Nguyen, H., Ahn, J., Belgrave, A., Lee, J., Cawelti, L., Kim, H.E., Prado, Y., Santagata, R., & Villavicencio, A. (2021, April). Combining Algorithmic Approaches and Human Insights to Establish Trustworthiness in Qualitative Research. Paper presented at AERA Annual Meeting 2021.
Nguyen, H., Schmidt, D., & Santagata, R. (2020, November). Crystal Code: Examining the Impact of Computational Modeling on Scientific Systems Thinking. Paper presented at the International Society for Technology in Education (ISTE) Conference. Anaheim, CA.
Nguyen, H. (2020, April). In or Out of Sync: Funding in Early Childhood through Text Analytics. Paper presented at the AERA Satellite Conference on Educational Data Science, Stanford, CA. Honorable Mention for Best Paper
Nguyen, H., Santagata, R. & Warschauer, M. (2020, April). Co-Design Dynamics in Community Science Education: Teachers, Researchers, and Community Partners [Roundtable Session]. AERA Annual Meeting San Francisco, CA. http://tinyurl.com/s83uq8f (Conference Canceled)
Fischer, C., Nguyen, H., Feng, Y., Fiorini, S., Kalender, Y., Schunn, C. D., Vincent-Ruz, P., Whitcomb, K., Witherspoon, E. & Warschauer, M. (2020, April) Advanced Placement Course Credit and Undergraduate Student Success in STEM Gateway Courses [Paper Session]. AERA Annual Meeting San Francisco, CA. http://tinyurl.com/stgybzf (Conference Canceled)
Nguyen, H. (2020, April) Data-Sharing Routines in a Research-Practice Partnership [Structured Poster Session]. AERA Annual Meeting San Francisco, CA. http://tinyurl.com/yyrgjxd9 (Conference Canceled)
Jacob, S., Nguyen, H., Garcia, L., Richardson, D., & Warschauer, M. (2019, October). Design of Computational Thinking Curriculum for Multilingual Learners. Paper presented at Connected Learning Summit. Irvine, CA.
Nguyen, H. (2019, September). Social Discourse to Promote Computational Thinking. Paper presented at the Learning Sciences Graduate Student Conference. Evanston, IL.
Nguyen, H. (2019, April). Autonomous, but Together: Elementary Teachers’ Self-Efficacy and Autonomy. Paper presented at the Annual American Educational Research Association. Toronto, Canada.
Jacob, S., Nguyen, H., Richardson, D., & Warschauer, M. (2019, February). Developing a Computational Thinking Curriculum for Multilingual Students: An Experience Report. Poster presented at Research on Equity and Sustained Participation in Computing, Engineering, & Technology. Minneapolis, MN. doi.org/10.1109/RESPECT46404.2019.8985944
Edsight: Learning Analytics Dashboard
Games & Learning. Fall 2022. Graduate Level.
Design Processes & Perspectives. Spring 2023. Undergraduate Level.
Learning Analytics. Fall 2023. Graduate Level.
R for Data Science. Workshop facilitator: Visualizations in R. February 2020. Irvine, CA.
Ahn, J., Campos, F., & Nguyen, H.. Educational Dashboard Expo. (2019, December). NSF Education Data Analytics Collaborative Workshop. New York, NY.
Graphs & Visualizations in R. Workshop at Center for Creating Opportunities through Education. July 2019. Irvine, CA.
Computational Thinking Research from a Design-Based Approach. Workshop facilitator at Google ExploreCSR. February 2019. Long Beach, CA.
R for Data Science. Workshop facilitator. January-March 2019. Irvine, CA.
Freedom School Partner. K-2 Teacher. 2015. Charlotte, NC.
Durham Public Schools. K-6 Teaching Assistant. 2014-2016. Durham, NC.
Frydenhøjskolen. K-2 Teaching Assistant. 2016. Copenhagen, Denmark.