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The FCS1: a language independent assessment of CS1 knowledge

Published: 09 March 2011 Publication History
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  • Abstract

    A primary goal of many CS education projects is to determine the extent to which a given intervention has had an impact on student learning. However, computing lacks valid assessments for pedagogical or research purposes. Without such valid assessments, it is difficult to accurately measure student learning or establish a relationship between the instructional setting and learning outcomes.
    We developed the Foundational CS1 (FCS1) Assessment instrument, the first assessment instrument for introductory computer science concepts that is applicable across a variety of current pedagogies and programming languages. We applied methods from educational and psychological test development, adapting them as necessary to fit the disciplinary context. We conducted a large scale empirical study to demonstrate that pseudo-code was an appropriate mechanism for achieving programming language independence. Finally, we established the validity of the assessment using a multi-faceted argument, combining interview data, statistical analysis of results on the assessment, and CS1 exam scores.

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    Cited By

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    • (2024)Identifying and Correcting Programming Language Behavior MisconceptionsProceedings of the ACM on Programming Languages10.1145/36498238:OOPSLA1(334-361)Online publication date: 29-Apr-2024
    • (2024)The First Five Years of a Dual Track Programming SeriesProceedings of the 55th ACM Technical Symposium on Computer Science Education V. 110.1145/3626252.3630947(965-971)Online publication date: 7-Mar-2024

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    cover image ACM Conferences
    SIGCSE '11: Proceedings of the 42nd ACM technical symposium on Computer science education
    March 2011
    754 pages
    ISBN:9781450305006
    DOI:10.1145/1953163
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    Publication History

    Published: 09 March 2011

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    Author Tags

    1. CS1
    2. assessment
    3. programming
    4. validity

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    SIGCSE '11 Paper Acceptance Rate 107 of 315 submissions, 34%;
    Overall Acceptance Rate 1,595 of 4,542 submissions, 35%

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    • (2024)Identifying and Correcting Programming Language Behavior MisconceptionsProceedings of the ACM on Programming Languages10.1145/36498238:OOPSLA1(334-361)Online publication date: 29-Apr-2024
    • (2024)The First Five Years of a Dual Track Programming SeriesProceedings of the 55th ACM Technical Symposium on Computer Science Education V. 110.1145/3626252.3630947(965-971)Online publication date: 7-Mar-2024

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