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Abstract Title: Identifying important computational skills in introductory physics: An interview analysis
Abstract: We present an ongoing qualitative analysis of twenty-six interviews about computation in introductory mechanics courses. The interviews are part of a longer term project to develop an assessment protocol for computation in introductory physics. Interviews were coded into twenty-seven different nodes. Sub-nodes and themes were then found and developed. This paper focuses specifically on the node, and its sub-nodes and themes, with the most anecdotes (197): "Important Computational Topics". This node is mainly comprised of computational skills or ideas that interviewees expect students to gain during the course of taking an introductory physics course with computation integrated. This node was broken into five themes with 44 sub-nodes. The five themes are:  technical programming skills and knowledge, program environment best practices, physics and programming, barrier reduction strategies, and restraints. The sub-nodes with the most agreement between subjects are:"Read Code", "Scaffolding Incomplete Code","Quality Plotting", "No Code From Scratch", "Identifying Core Physics", and "Code Commenting"
Abstract Type: Contributed Poster Presentation
Session Time: Poster Session 1 Room A
Poster Number: 1A-3

Author/Organizer Information

Primary Contact: Justin Gambrell
Drexel University
and Co-Presenter(s)
Adam Ikehara Drexel University
Eric Brewe  Drexel University