The Code in Context Lab

We study computer science education. Specifically, how to bring human-centered perspectives into technical contexts, and how to help students consider the human contexts their code will operate in. Our current projects focus on teaching and learning in undergraduate courses.

Publications

The Shortest Path to Ethics in AI: An Integrated Assignment Where Human Concerns Guide Technical Decisions

Noelle Brown, Koriann South, Eliane S. Wiese

ICER '22, Proceedings of the 2022 ACM Conference on International Computing Education Research - Volume 1, pp. 344–355

An LGBTQ-Inclusive Problem Set in Discrete Mathematics

Trysten Scott Richard, Eliane S. Wiese, Zvonimir Rakamarić

SIGCSE 2022, The 53rd ACM Technical Symposium on Computer Science Education, 2022

"It Must Include Rules": Middle School Students' Computational Thinking with Computer Models in Science

Eliane S. Wiese, Marcia C. Linn

ACM Transactions on Computer-Human Interaction, vol. 28(2), 2021, pp. 1-41

Students' Misunderstanding of the Order of Evaluation in Conjoined Conditions

Eliane S. Wiese, Anna N. Rafferty, Garrett Moseke

International Conference on Program Comprehension (ICPC '21), 2021

Linking Code Readability, Structure, and Comprehension among Novices: It's Complicated

Eliane S. Wiese, Anna N. Rafferty, Armando Fox

ICSE-SEET '19, Proceedings of the 41st International Conference on Software Engineering: Software Engineering Education and Training, IEEE Press, 2019, pp. 84-94

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