Shiyan Jiang

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Bio

Dr. Jiang joined the program of Learning Design and Technology in 2019. She teaches graduate courses for the program, such as Data Visualization, Machine Learning, and Text Mining in Education . Prior to arriving at NC State, Dr. Jiang worked as a postdoctoral associate at Carnegie Mellon University (Advisor: Dr. Carolyn Rosé).

Research Description

Dr. Jiang’s research focuses on integrating digital literacy in STEM learning, such as empowering K-12 AI (Artificial Intelligence) education with narrative modeling (NSF Award # 1949110 and # 2241671). In addition, she designs and studies technology-enhanced interdisciplinary learning environments to facilitate the development of disciplinary identities and engage early adolescents in career exploration.

Selected Scholarly Publications

• Jiang, S. & Wang, C. * (2023). Blurring the boundaries of current and future selves: Students’ STEM identity development in a multimodal composing learning environment. Learning, Media and Technology.
• Jiang, S., Huang, J., & Lee, H. (2023). Unpacking the complexities and nuances of technology-supported learning processes: Visualizing qualitative data. Educational Technology Research and Development.
• Jiang, S., Tang, H., Tatar, C. ^*, Rosé, C, & Chao, J. (2023). High school students’ data modelling practices: From modeling unstructured data to evaluating automated decisions. Learning, Media and Technology.
• Jiang, S. (2023). Towards broadening participation: Investigating adolescents’ participation trajectories in a collaborative multimodal composing learning environment. Educational Technology & Society.
• Jiang, S., Lee, V. R., & Rosenberg, J. M. (2022). Data science education across the disciplines: Underexamined opportunities for K‐12 innovation. British Journal of Educational Technology, 53(5), 1073-1079.
• Jiang, S., Huang, X., Sung, S. H., & Xie, C. (2022). Learning analytics for assessing hands-on laboratory skills in science classrooms using Bayesian network analysis. Research in Science Education, 1-20.
• Jiang, S., Nocera, A., Tatar, C. ^*, Yoder, M. M. ^*, Chao, J., Wiedemann, K., … & Rosé, C. P. (2022). An empirical analysis of high school students’ practices of modelling with unstructured data. British Journal of Educational Technology, 53(5), 1114-1133.
• Jiang, S. & Kahn, J. (2020). Data wrangling practices and collaborative interactions with aggregated data. International Journal of Computer-Supported Collaborative Learning. 1-25.

Courses Taught

• ECI 587 Machine Learning in Education
• ECI 588 Text Mining in Education
• ECI 519 Data Visualization in Education
• ECI 709 Learning Sciences Seminar
• ECI 893 Doctoral Supervised Research
• ECI 510 Research Applications in Curriculum and Instruction

Services and Engagements

• Dr. Jiang is an editorial board member for the Journal of Educational technology research and development and the Journal of Science Education and Technology; co-chair of the Technology Committee at ISLS; a reviewer for journals (e.g., computers & education), NSF programs (e.g., ITEST), IES, and conferences (e.g., ISLS and AERA).

Area(s) of Expertise

Dr. Jiang’s research focuses on integrating digital literacy in STEM learning, such as empowering K-12 AI (Artificial Intelligence) education with narrative modeling (NSF Award # 1949110). In addition, she designs and studies technology-enhanced learning environments to facilitate the development of disciplinary identities and engage early adolescents in career exploration.