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SPICE: Science Projects Integrating Computing and Engineering

Posted by on Friday, July 12, 2024 in Uncategorized.

 SPICE (Science Projects Integrating Computing and Engineering) is a derivative of C2STEM. It is a 6-week long Earth Sciences curriculum where students first conduct hands-on experiments and then build conceptual models of water runoff (and flooding), then learn about computational constructs and build a computational model for water runoff. Students then use their computational models to solve an engineering design problem of constructing a playground in their school that minimizes water runoff. This system has several teacher-developed formative assessments that go with the curriculum, which makes it possible for us to study progressions in student learning.

https://spiceprojects.org/

How to Get Involved:

SPICE welcomes collaborations from researchers in learning sciences, learning analytics, and education who may want to work on extending these projects and analyzing the multimodal data that has been collected in classroom studies.

SPICE PI

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Gautam Biswas
Cornelius Vanderbilt Professor, Engineering

SPICE Personnel

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Clayton Cohn
PhD Student, Computer Science
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Naveeduddin (Naveed) Mohammed
Research Engineer, Institute for Software Integrated Systems
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Caitlin Snyder
PhD Student, Computer Science
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Namrata Srivastava
Research Scientist, Computer Science
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Ashwin Tudur Sadashiva
Postdoctoral Fellow, Computer Science

Core Publications

Hutchins, N.M., Biswas, G., Maróti, M., Lédeczi, Á., Grover, S., Wolf, R., … & McElhaney, K. (2020). C2STEM: a System for Synergistic Learning of Physics and Computational Thinking. Journal of Science Education and Technology, 29(1), 83-100.Technology.

Zhang N., Biswas G., McElhaney K.W., Basu S., McBride E., Chiu J.L. (2020). Studying the Interactions Between Science, Engineering, and Computational Thinking in a Learning-by-Modeling Environment. In: Bittencourt I., Cukurova M., Muldner K., Luckin R., Millán E. (eds) Artificial Intelligence in Education. AIED 2020. Lecture Notes in Computer Science, vol 12163. Springer, Cham.

Snyder, C., Hutchins, N.M., Cohn, C., Fonteles, J.H., & Biswas, G. (2024). Analyzing Students Collaborative Problem-Solving Behaviors in Synergistic STEM+C Learning. The 14th International Learning Analytics and Knowledge Conference, Kyoto, Japan, March 18-22, 2024

Funding Sources

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