Shiyan Jiang

Li, X., Jiang, S., Hu, Y., Feng, X., Chen, W., & Ouyang, F. (2024, March 16). Investigating the impact of structured knowledge feedback on collaborative academic writing. EDUCATION AND INFORMATION TECHNOLOGIES. https://doi.org/10.1007/s10639-024-12560-y

Jiang, S., & Wang, C. (2023, June 20). Blurring the boundaries of current and future selves: students' STEM identity exploration in a multimodal composing learning environment. LEARNING MEDIA AND TECHNOLOGY. https://doi.org/10.1080/17439884.2023.2225858

Sanei, H., Kahn, J. B., Yalcinkaya, R., Jiang, S., & Wang, C. (2023, June 17). Examining How Students Code with Socioscientific Data to Tell Stories About Climate Change. JOURNAL OF SCIENCE EDUCATION AND TECHNOLOGY, Vol. 6. https://doi.org/10.1007/s10956-023-10054-z

Jiang, S., Tang, H., Tatar, C., Rose, C. P., & Chao, J. (2023, March 14). High school students' data modeling practices and processes: From modeling unstructured data to evaluating automated decisions. LEARNING MEDIA AND TECHNOLOGY. https://doi.org/10.1080/17439884.2023.2189735

Jiang, S., Mcclure, J., Mao, H., Chen, J., Liu, Y., & Zhang, Y. (2023, December 7). Integrating Machine Learning and Color Chemistry: Developing a High-School Curriculum toward Real-World Problem-Solving. JOURNAL OF CHEMICAL EDUCATION, Vol. 12. https://doi.org/10.1021/acs.jchemed.3c00589

Jiang, S. (2023). Investigating Adolescents' Participation Trajectories in a Collaborative Multimodal Composing Learning Environment. EDUCATIONAL TECHNOLOGY & SOCIETY, 26(3), 21–36. https://doi.org/10.30191/ETS.202307_26(3).0003

Ding, L., Li, T., Jiang, S., & Gapud, A. (2023). Students' perceptions of using ChatGPT in a physics class as a virtual tutor. INTERNATIONAL JOURNAL OF EDUCATIONAL TECHNOLOGY IN HIGHER EDUCATION, 20(1). https://doi.org/10.1186/s41239-023-00434-1

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, 7. https://doi.org/10.1007/s11423-023-10272-7

Jiang, S., Nocera, A., Tatar, C., Yoder, M. M., Chao, J., Wiedemann, K., … Rose, C. P. (2022, July 1). An empirical analysis of high school students' practices of modelling with unstructured data. BRITISH JOURNAL OF EDUCATIONAL TECHNOLOGY. https://doi.org/10.1111/bjet.13253

Shen, J., Chen, G., Barth-Cohen, L., Jiang, S., & Eltoukhy, M. (2022). Connecting computational thinking in everyday reasoning and programming for elementary school students. JOURNAL OF RESEARCH ON TECHNOLOGY IN EDUCATION, 54(2), 205–225. https://doi.org/10.1080/15391523.2020.1834474

Jiang, S., Lee, V. R., & Rosenberg, J. M. (2022, July 10). Data science education across the disciplines: Underexamined opportunities for K-12 innovation. BRITISH JOURNAL OF EDUCATIONAL TECHNOLOGY. https://doi.org/10.1111/bjet.13258

Wang, Q., Rose, C. P., Ma, N., Jiang, S., Bao, H., & Li, Y. (2022). Design and Application of Automatic Feedback Scaffolding in Forums to Promote Learning. IEEE TRANSACTIONS ON LEARNING TECHNOLOGIES, 15(2), 150–166. https://doi.org/10.1109/TLT.2022.3156914

Peng, Y., Li, Y., Su, Y., Chen, K., & Jiang, S. (2022). Effects of group awareness tools on students' engagement, performance, and perceptions in online collaborative writing: Intergroup information matters. INTERNET AND HIGHER EDUCATION, 53. https://doi.org/10.1016/j.iheduc.2022.100845

Jiang, S., Qian, Y., Tang, H., Yalcinkaya, R., Rose, C. P., Chao, J., & Finzer, W. (2022, October 14). Examining computational thinking processes in modeling unstructured data. EDUCATION AND INFORMATION TECHNOLOGIES. https://doi.org/10.1007/s10639-022-11355-3

Rubel, L. H., Herbel-Eisenman, B., Peralta, L. M., Lim, V., Jiang, S., & Kahn, J. (2022, May 4). Intersectional feminism to reenvision mathematical literacies & precarity. RESEARCH IN MATHEMATICS EDUCATION. https://doi.org/10.1080/14794802.2022.2089908

Lim, V. Y. Y., Peralta, L. M. M., Rubel, L. H. H., Jiang, S., Kahn, J. B. B., & Herbel-Eisenmann, B. (2022, December 8). Keeping pace with innovations in data visualizations: A commentary for mathematics education in times of crisis. ZDM-MATHEMATICS EDUCATION. https://doi.org/10.1007/s11858-022-01449-0

Jiang, S., Huang, X., Sung, S. H., & Xie, C. (2022, July 9). Learning Analytics for Assessing Hands-on Laboratory Skills in Science Classrooms Using Bayesian Network Analysis. RESEARCH IN SCIENCE EDUCATION. https://doi.org/10.1007/s11165-022-10061-x

Moore, R. L., Jiang, S., & Abramowitz, B. (2022, November 16). What would the matrix do?: a systematic review of K-12 AI learning contexts and learner-interface interactions. JOURNAL OF RESEARCH ON TECHNOLOGY IN EDUCATION. https://doi.org/10.1080/15391523.2022.2148785

Jiang, S., Tatar, C., Huang, X., Sung, S. H., & Xie, C. (2021, August 5). Augmented Reality in Science Laboratories: Investigating High School Students' Navigation Patterns and Their Effects on Learning Performance. JOURNAL OF EDUCATIONAL COMPUTING RESEARCH. https://doi.org/10.1177/07356331211038764

Kahn, J., & Jiang, S. (2021). Learning with large, complex data and visualizations: youth data wrangling in modeling family migration. LEARNING MEDIA AND TECHNOLOGY, 46(2), 128–143. https://doi.org/10.1080/17439884.2020.1826962

Chen, J., Bhat, M., Jiang, S., & Zhao, D. (2020). Advanced Driver Assistance Strategies for a Single-Vehicle Overtaking a Platoon on the Two-Lane Two-Way Road. IEEE ACCESS, 8, 77285–77297. https://doi.org/10.1109/ACCESS.2020.2989082

Jiang, S., Huang, X., Xie, C., Sung, S., & Yalcinkaya, R. (2020). Augmented Scientific Investigation: Support the Exploration of Invisible "Fine Details" in Science via Augmented Reality. PROCEEDINGS OF IDC 2020, pp. 349–354. https://doi.org/10.1145/3392063.3394406

Jiang, S., & Kahn, J. (2020). Data wrangling practices and collaborative interactions with aggregated data. INTERNATIONAL JOURNAL OF COMPUTER-SUPPORTED COLLABORATIVE LEARNING, 15(3), 257–281. https://doi.org/10.1007/s11412-020-09327-1

Jiang, S., Shen, J., Smith, B. E., & Kibler, K. W. (2020). Science identity development: how multimodal composition mediates student role-taking as scientist in a media-rich learning environment. ETR&D-EDUCATIONAL TECHNOLOGY RESEARCH AND DEVELOPMENT, 68(6), 3187–3212. https://doi.org/10.1007/s11423-020-09816-y