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Elementary Students’ Understanding of CS Terms

Published: 16 June 2020 Publication History
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  • Abstract

    The language and concepts used by curriculum designers are not always interpreted by children as designers intended. This can be problematic when researchers use self-reported survey instruments in concert with curricula, which often rely on the implicit belief that students’ understanding aligns with their own. We report on our refinement of a validated survey to measure upper elementary students’ attitudes and perspectives about computer science (CS), using an iterative, design-based research approach informed by educational and psychological cognitive interview processes. We interviewed six groups of students over three iterations of the instrument on their understanding of CS concepts and attitudes toward coding. Our findings indicated that students could not explain the terms computer programs nor computer science as expected. Furthermore, they struggled to understand how coding may support their learning in other domains. These results may guide the development of appropriate CS-related survey instruments and curricular materials for K–6 students.

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    Published In

    cover image ACM Transactions on Computing Education
    ACM Transactions on Computing Education  Volume 20, Issue 3
    September 2020
    200 pages
    EISSN:1946-6226
    DOI:10.1145/3406963
    Issue’s Table of Contents
    Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 16 June 2020
    Online AM: 07 May 2020
    Accepted: 01 February 2020
    Revised: 01 December 2019
    Received: 01 August 2019
    Published in TOCE Volume 20, Issue 3

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    Author Tags

    1. Cognitive interviewing
    2. computer science
    3. elementary
    4. instrument development

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    • (2023)"AI Teaches Itself": Exploring Young Learners' Perspectives on Artificial Intelligence for Instrument DevelopmentProceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 110.1145/3587102.3588778(485-490)Online publication date: 29-Jun-2023
    • (2022)Charting a path for growth in middle school students’ attitudes toward computer programmingComputer Science Education10.1080/08993408.2022.213467734:1(4-36)Online publication date: 4-Nov-2022
    • (2022)“I remember how to do it”: exploring upper elementary students’ collaborative regulation while pair programming using epistemic network analysisComputer Science Education10.1080/08993408.2022.204467233:3(429-457)Online publication date: 9-Mar-2022
    • (2022)Interaction effects of race and gender in elementary CS attitudesInternational Journal of Child-Computer Interaction10.1016/j.ijcci.2021.10029329:COnline publication date: 22-Apr-2022
    • (2021)The Roles and Challenges of Computing Terminology in Non-Computing DisciplinesProceedings of the 2021 Conference on United Kingdom & Ireland Computing Education Research10.1145/3481282.3481284(1-7)Online publication date: 2-Sep-2021
    • (2021)The Relationship of CS Attitudes, Perceptions of Collaboration, and Pair Programming Strategies on Upper Elementary Students' CS LearningProceedings of the 26th ACM Conference on Innovation and Technology in Computer Science Education V. 110.1145/3430665.3456347(46-52)Online publication date: 26-Jun-2021
    • (2021)Building a computational model of food webs: Impacts on middle school students' computational and systems thinking skillsJournal of Research in Science Teaching10.1002/tea.2173859:4(585-618)Online publication date: 30-Nov-2021

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