The Development and Validation of Survey Items on Upper Elementary Students' Perspectives and Attitudes on CS
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Abstract
Demand for K-6 computer science (CS) curricula is growing considerably. Many of the existing curricula have been developed by domain experts who are comfortable with specific and technical terminology, which they expect students to master. However, children are not always comfortable with these terms nor do they understand general concepts like 'coding' in the way that the curriculum designers intend. This is a problem because many researchers use self-report and attitudinal survey instruments with the implicit belief that the students' understanding of the terms and concepts resemble their own. This mismatch may invalidate results. For this project, we report on our modification of a validated survey to measure upper elementary students' attitudes about and perspectives on CS by attempting to understand the appropriate language to use when querying children about these topics. We use an iterative, design-based research approach that is informed by educational and psychological cognitive interview processes. We interviewed two groups (N=64) of upper elementary students on their understanding of computer science concepts and attitudes toward coding. Our findings indicate that 4th and 5th grade students could not explain the terms computer programs nor computer science as we had expected and that they struggled to understand how coding may connect with or support their learning in other domains. These results will help to guide the development of appropriate survey instruments and course materials for K-6 students, which both match their use of broad domain concepts and therefore inform their understanding and improve their outcomes.
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- The Development and Validation of Survey Items on Upper Elementary Students' Perspectives and Attitudes on CS
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Published In
February 2019
1364 pages
ISBN:9781450358903
DOI:10.1145/3287324
- General Chairs:
- Elizabeth K. Hawthorne,
- Manuel A. Pérez-Quiñones,
- Program Chairs:
- Sarah Heckman,
- Jian Zhang
Copyright © 2019 Owner/Author.
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 22 February 2019
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SIGCSE '19
Sponsor:
SIGCSE '19: The 50th ACM Technical Symposium on Computer Science Education
February 27 - March 2, 2019
MN, Minneapolis, USA
Acceptance Rates
SIGCSE '19 Paper Acceptance Rate 169 of 526 submissions, 32%;
Overall Acceptance Rate 1,595 of 4,542 submissions, 35%
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SIGCSE Virtual 2024
- Sponsor:
- sigcse
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