Assessing student behavior in computer science education with an fsQCA approach: The role of gains and barriers

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...

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Main Authors: Pappas, I., Giannakos, M., Jaccheri, L., Sampson, Demetrios
Format: Journal Article
Published: 2017
Online Access:http://hdl.handle.net/20.500.11937/56671
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author Pappas, I.
Giannakos, M.
Jaccheri, L.
Sampson, Demetrios
author_facet Pappas, I.
Giannakos, M.
Jaccheri, L.
Sampson, Demetrios
author_sort Pappas, I.
building Curtin Institutional Repository
collection Online Access
description 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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institution Curtin University Malaysia
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publishDate 2017
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spelling curtin-20.500.11937-566712018-03-29T09:08:38Z Assessing student behavior in computer science education with an fsQCA approach: The role of gains and barriers Pappas, I. Giannakos, M. Jaccheri, L. Sampson, Demetrios 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. 2017 Journal Article http://hdl.handle.net/20.500.11937/56671 10.1145/3036399 restricted
spellingShingle Pappas, I.
Giannakos, M.
Jaccheri, L.
Sampson, Demetrios
Assessing student behavior in computer science education with an fsQCA approach: The role of gains and barriers
title Assessing student behavior in computer science education with an fsQCA approach: The role of gains and barriers
title_full Assessing student behavior in computer science education with an fsQCA approach: The role of gains and barriers
title_fullStr Assessing student behavior in computer science education with an fsQCA approach: The role of gains and barriers
title_full_unstemmed Assessing student behavior in computer science education with an fsQCA approach: The role of gains and barriers
title_short Assessing student behavior in computer science education with an fsQCA approach: The role of gains and barriers
title_sort assessing student behavior in computer science education with an fsqca approach: the role of gains and barriers
url http://hdl.handle.net/20.500.11937/56671