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Assessing Student Behavior in Computer Science Education with an fsQCA Approach: The Role of Gains and Barriers

Published: 23 May 2017 Publication History

Abstract

This study uses complexity theory to understand the causal patterns of factors that stimulate students’ intention to continue studies in computer science (CS). To this end, it identifies gains and barriers as essential factors in CS education, including motivation and learning performance, and proposes a conceptual model along with research propositions. To test its propositions, the study employs fuzzy-set qualitative comparative analysis on a data sample from 344 students. Findings indicate eight configurations of cognitive and noncognitive gains, barriers, motivation for studies, and learning performance that explain high intention to continue studies in CS. This research study contributes to the literature by (1) offering new insights into the relationships among the predictors of CS students’ intention to continue their studies and (2) advancing the theoretical foundation of how students’ gains, barriers, motivation, and learning performance combine to better explain high intentions to continue CS studies.

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    cover image ACM Transactions on Computing Education
    ACM Transactions on Computing Education  Volume 17, Issue 2
    June 2017
    107 pages
    EISSN:1946-6226
    DOI:10.1145/3090098
    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 the author(s) 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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    Publication History

    Published: 23 May 2017
    Accepted: 01 December 2016
    Revised: 01 October 2016
    Received: 01 July 2016
    Published in TOCE Volume 17, Issue 2

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    Author Tags

    1. Higher education
    2. configuration
    3. contrarian case
    4. fuzzy-set qualitative comparative analysis
    5. student behavior

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