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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