PERC 2019 Abstract Detail Page
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| Abstract Title: | Conceptual Blending in Computational Modeling |
|---|---|
| Abstract: | With the growing integration of computational modeling in introductory physics curricula, educators face an increasing need to understand how students read and compose programming code so as to better support those students' learning. In this paper, I will discuss Conceptual Blending as a framework for modeling how we read physical, mathematical, and logical meaning into the structural and grammatical features of programming code; the emergence of novel coding structures; and how features of the programming representation can affect student reasoning, both productively and counter-productively. After a discussion of the framework, I will present a case study to help illustrate some of the insights this framework grants. |
| Abstract Type: | Contributed Poster Presentation |
| Session Time: | Poster Session III |
| Poster Number: | C4 |
| Contributed Paper Record: | Contributed Paper Information |
| Contributed Paper Download: | Download Contributed Paper |
Author/Organizer Information | |
| Primary Contact: |
Brandon Lunk Texas State University 1001 Leah Ave apt 331 San Marcos, TX 78666 Phone: 9196122919 |
Contributed Poster | |
| Contributed Poster: | Download the Contributed Poster |
