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

Pappas, Ilias; Giannakos, Michail; Jaccheri, Maria Letizia; Sampson, Demetrios G
Journal article, Peer reviewed
Accepted version
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Åpne
4 Assessing Student Behavior in Computer Science Education.pdf (2.451Mb)
Permanent lenke
http://hdl.handle.net/11250/2465730
Utgivelsesdato
2017
Metadata
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  • Institutt for datateknologi og informatikk [3870]
  • Publikasjoner fra CRIStin - NTNU [20842]
Originalversjon
10.1145/3036399
Sammendrag
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.
Utgiver
Association for Computing Machinery (ACM)
Tidsskrift
ACM Transactions on Computing Education

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