Publications

 

 

 

 

 

 

 

 

 

Arnell, J., Swanson, H., & Edwards, B. (2023). Leveraging intuitive resources to reason about the coriolis force. In Proceedings of the 17th International Conference of the Learning Sciences - ICLS 2023. Montreal, Canada: International Society of the Learning Sciences.

Arnell, J., Swanson, H., & Lawrence, L. (2023). “Shake the slinky more:” Exploring the medley of meanings in middle school science students’ language. In Proceedings of the 17th International Conference of the Learning Sciences - ICLS 2023. Montreal, Canada: International Society of the Learning Sciences.

Barth-Cohen, L., Swanson, H., Arnell, J. (2023). Methods of research design and analysis for identifying knowledge resources. Physical Review of Physics Education Research Focused Collection in Qualitative Methods in PER: A Critical Examination

Dawkins, A., Lawrence, L., & Swanson, H. (2023). Comparing the pedagogical strategies of teachers who co-designed units to support students’ theory building. In Proceedings of the 17th International Conference of the Learning Sciences - ICLS 2023. Montreal, Canada: International Society of the Learning Sciences.

Gonzales, S., Swanson, H., Edwards, J. (2023). Activity during high-repetition practice of syntax. In Proceedings of IEEE Intermountain Engineering, Technology, and Computing Conference - i-ETC 2023.

Jones, B., Swanson, H., Nguyen, H. (2023). Signals conveying teachers’ readiness for change in Next Generation Science professional development. In Proceedings of the 17th International Conference of the Learning Sciences - ICLS 2023. Montreal, Canada: International Society of the Learning Sciences.

Matthews, J., & Swanson, H. (2023). The Pivot: Codifying emergent tactics in distributed epistemic games. In Proceedings of the 17th International Conference of the Learning Sciences - ICLS 2023. Montreal, Canada: International Society of the Learning Sciences.

Matthews, J., Nguyen, H., Swanson, H. (2023). Uncovering the features of discourse that increase interactions. In Proceedings of the International Conference on Learning Analytics and Knowledge. 

Matthews, J., Swanson, H., Slugantz, M., Miller, K. (2023). A peer in the loop: The human touch that analytics needs. In Proceedings of the International Conference on Learning Analytics and Knowledge. 

Sinha, R., Swanson, H., Clarke Midura, J., Shumway, J., Lee, V., Chandrasekharan, S. (2023). From embodied doing to computational thinking in kindergarten: A punctuated motor control model. In Proceedings of the 1st Annual ACM Symposium on Learning, Design, and Technology, (pp. 1-10) New York: ACM. 

Swanson, H., Lawrence, L., Arnell, J., Dawkins, A., Jones, B., Sherin, B., Wilensky, U. (2023). How co-designing computational modeling activities helped teachers implement responsive teaching strategies. In Proceedings of the 1st Annual ACM Symposium on Learning, Design, and Technology, (pp. 79-86) New York: ACM. 

Swanson, H. (2023). Epistemic systems: A knowledge-level characterization of epistemic games. In Proceedings of the 17th International Conference of the Learning Sciences - ICLS 2023. Montreal, Canada: International Society of the Learning Sciences.

Swanson, H. (2023). Knowledge facilitating epistemic game moves. In Proceedings of the 17th International Conference of the Learning Sciences - ICLS 2023. Montreal, Canada: International Society of the Learning Sciences.

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2022

Arnell, J., Swanson, H., & Edwards, B. (2022). Instructional landmarks: Describing a novel intermediate knowledge structure for physics learners. In Chinn, C., Tan, E., Chan, C., & Kali, Y. (Eds.), Proceedings of the 16th International Conference of the Learning Sciences - ICLS 2022. (pp. 1393-1396). Hiroshima, Japan: International Society of the Learning Sciences.

Arnell, J., Swanson, H., & Edwards, B. (2022). Rotating bodies bulge outward: A novel intuitive resource for rotational motion. In Chinn, C., Tan, E., Chan, C., & Kali, Y. (Eds.), Proceedings of the 16th International Conference of the Learning Sciences - ICLS 2022. (pp. 2102-2105). Hiroshima, Japan: International Society of the Learning Sciences.

Johnson, M., Swanson, H., Edwards, J. (2022). Syntax Exercises and their Effect on Computational Thinking. In Proceedings of the IEEE Intermountain Engineering, Technology, and Computing Conference (i-ETC 2022).

Jones, B., & Swanson, H., (2022). A framework for assessing teachers’ readiness for pedagogical transformation. In Chinn, C., Tan, E., Chan, C., & Kali, Y. (Eds.), Proceedings of the 16th International Conference of the Learning Sciences - ICLS 2022. (pp. 1313-1316). Hiroshima, Japan: International Society of the Learning Sciences.

Swanson, H. (2022). Meta-theoretic competence demonstrated by students in the Patterns class. In Chinn, C., Tan, E., Chan, C., & Kali, Y. (Eds.), Proceedings of the 16th International Conference of the Learning Sciences - ICLS 2022. (pp. 679-686). Hiroshima, Japan: International Society of the Learning Sciences.

Swanson, H., & Levin, M. (2022). Using reference models as a springboard for ontological innovation: Analyzing a central theory building move in the learning sciences. In Chinn, C., Tan, E., Chan, C., & Kali, Y. (Eds.), Proceedings of the 16th International Conference of the Learning Sciences - ICLS 2022. (pp. 703-710). Hiroshima, Japan: International Society of the Learning Sciences.

Swanson, H., Sherin, B., & Wilensky, U. (2022). Tuning perceptions and inferences to see a graph in a new way. In Chinn, C., Tan, E., Chan, C., & Kali, Y. (Eds.), Proceedings of the 16th International Conference of the Learning Sciences - ICLS 2022. (pp. 1589-1592). Hiroshima, Japan: International Society of the Learning Sciences.

Wu, S., Swanson, H., Sherin, B., & Wilensky, U. (2022). Investigating student learning about disease spread and prevention in the context of agent-based computational modeling. In Chinn, C., Tan, E., Chan, C., & Kali, Y. (Eds.), Proceedings of the 16th International Conference of the Learning Sciences - ICLS 2022. (pp. 1245 - 1248). Hiroshima, Japan: International Society of the Learning Sciences.

Wu, S., Swanson, H., Sherin, B., & Wilensky, U. (2022). Students’ prior knowledge of disease spread and prevention.  In Chinn, C., Tan, E., Chan, C., & Kali, Y. (Eds.), Proceedings of the 16th International Conference of the Learning Sciences - ICLS 2022. (pp. 1241-1244). Hiroshima, Japan: International Society of the Learning Sciences.

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2021

Ditton, J., Swanson, H., & Edwards, J. (2021). External imagery in computer programming. ACM Technical Symposium on Computing Science Education (SIGCSE ‘2020 extended abstracts). https://doi.org/10.1145/3408877.3432426

Sullivan, S., Swanson, H., & Edwards, J. (2021). Student attitudes toward syntax exercises in CS1. ACM Technical Symposium on Computing Science Education (SIGCSE ‘2020 extended abstracts). https://doi.org/10.1145/3408877.3432399

Swanson, H., & Clarke-Midura, J. (2021). Integrating formative assessment and feedback into scientific theory-building practices and instruction. Assessment in Education: Principles, Policy, & Practice. https://doi.org/10.1080/0969594X.2021.1929830

Swanson, H., & Trninic, D. (2021). Stepping out of rhythm: An embodied artifact for noticing rate of change. Educational Technology Research and Development. DOI: https://doi.org/10.1007/s11423-020-09933-8

Swanson, H., Sherin, B., Wilensky, U. (2021). Characterizing student theory building in computational modeling. In de Vries, E., Ahn, J., & Hod, Y. (Eds.), 15th International Conference of the Learning Sciences (ICLS 2021). Bochum, Germany: International Society of the Learning Sciences.

Swanson, H., Sherin, B., Wilensky, U. (2021). Refining student thinking through computational modeling. In de Vries, E., Ahn, J., & Hod, Y. (Eds.), 15th International Conference of the Learning Sciences (ICLS 2021). Bochum, Germany: International Society of the Learning Sciences.

Wu, S., Jones, B., Swanson, H., Horn, M., Wilensky, U. (2021). A tale of two PDs: Exploring teachers' experiences in co-designing computational activities. In de Vries, E., Ahn, J., & Hod, Y. (Eds.), 15th International Conference of the Learning Sciences (ICLS 2021). Bochum, Germany: International Society of the Learning Sciences.

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2020

Arastoopour Irgens, G., Dabholkar, S., Bain, C., Woods, P., Hall, K., Swanson, H., Horn, M., & Wilensky, U. (2020). Modeling and measuring students’ computational thinking practices in science. Journal of Science Education and Technology, 29(1), 137-161. https://doi.org/10.1007/s10956-020-09811-1

Edwards, J., Ditton, J., Trninic, D., Swanson, H., Sullivan, S., & Mano, C. (2020). Syntax exercises in CS1. ACM Conference on International Computing Education Research (ICER ‘2020 extended abstracts). https://doi.org/10.1145/3372782.3406259

Martin, K., Bain, C., Swanson, H., Horn, M., & Wilensky, U. (2020). Building blocks: Kids designing scientific, domain-specific, block-based, agent-based microworlds. In Gresalfi, M. and Horn, I. S. (Eds.), The Interdisciplinarity of the Learning Sciences, 14th International Conference of the Learning Sciences (ICLS 2020), Volume 3, Short Papers, Symposia, and Selected Abstracts (pp. 1641-1644). Nashville, Tennessee: International Society of the Learning Sciences. https://doi.dx.org/10.22318/icls2020.1641

Pearl, H., Arrants, S., Swanson, H., & Trninic, D. (2020). The AL Goldberg Machine: A virtual environment for engaging learners in algorithmic practices. ACM International Conference on Interaction Design and Children (IDC ‘20 extended abstracts). pp. 211–216. https://doi.org/10.1145/3397617.3397845

Swanson, H., Martin, K., Sherin, B., & Wilensky, U. (2020). Characterizing student theory building in the context of block-based agent-based modeling microworlds. In Gresalfi, M. and Horn, I. S. (Eds.), The Interdisciplinarity of the Learning Sciences, 14th International Conference of the Learning Sciences (ICLS 2020), Volume 3, Short Papers, Symposia, and Selected Abstracts (pp. 1701-1704). Nashville, Tennessee: International Society of the Learning Sciences. https://doi.dx.org/10.22318/icls2020.1701

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2019

Pearl, H.,Swanson, H., & Horn, M.(2019). Coordi: A virtual reality application for reasoning about mathematics in three dimensions. ACM Conference on Human Factors in Computing Systems (CHI ‘19 extended abstracts). pp 1–6. https://doi.org/10.1145/3290607.3312931

Swanson, H. (2019). Refining student thinking through scientific theory building. In E. Manalo (Ed.) Deeper learning, dialogic learning, and critical thinking: Research-based strategies for the classroom (pp. 67-83). Abingdon-on-Thames: Routledge. https://doi.org/10.4324/9780429323058-5

Swanson, H., Anton, G., Bain, C., Horn, M., & Wilensky, U. (2019). Introducing and assessing computational thinking in the secondary science classroom. In S. Kong, and H. Abelson (Eds.) Computational Thinking Education (pp.99-117). Singapore: Springer. https://doi.org/10.1007/978-981-13-6528-7_7

Swanson, H., & Collins, A. (2019). Learning to theorize in a complex and changing world. Foresight and STI Governance, 13(2), 98-106.  https://doi.org/10.17323/2500-2597.2019.2.98.106

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2018

Swanson, H., Arastoopour Irgens, G., Bain, C., Hall, K., Woods, P., Rogge, C., Horn, M., & Wilensky, U. (2018). Characterizing computational thinking in high school science. In Kay, J. and Luckin, R. (Eds.), Rethinking Learning in the Digital Age: Making the Learning Sciences Count, 13th International Conference of the Learning Sciences (ICLS 2018), Volume 2, Short Papers, Symposia, and Selected Abstracts, (pp. 871-878). London, UK: International Society of the Learning Sciences. https://doi.dx.org/10.22318/cscl2018.871

Swanson, H., & Collins, A. (2018). How failure is productive in the creative process: Refining student explanations through theory-building discussion. Thinking Skills and Creativity, 30, 54-63. https://doi.org/10.1016/j.tsc.2018.03.005

Trninic, D., Swanson, H., & Kapur, M. (2018). Productive dissent in learning communities. Instructional Science, 46(4), 621-625. https://doi.org/10.1007/s11251-018-9466-0

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2017

Swanson, H., Anton, G., Bain, C., Horn, M., & Wilensky, U. (2017). Computational thinking in the science classroom. In Kong, S.C., Sheldon, J., & Li, K.Y. (Eds.), Proceedings of the First International Conference on Computational Thinking Education. Volume 1 (pp. 17-22). Hong Kong: The Education University of Hong Kong.

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2016

Swanson, H. (2016). Prior knowledge for the construction of a scientific model of equilibration. In Looi, C. K., Polman, J. L., Cress, U., and Reimann, P. (Eds.), Transforming Learning, Empowering Learners: Proceedings of the 12th International Conference of the Learning Sciences (ICLS 2016), Volume 1, Short Papers, Symposia, and Selected Abstracts (pp. 162-169). Singapore: International Society of the Learning Sciences. https://dx.doi.org/10.22318/icls2016.23