A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
CS1 : Intrinsic Motivation, Self-Efficacy, and Effort (2023)


Lakanen, A.-J., & Isomöttönen, V. (2023). CS1 : Intrinsic Motivation, Self-Efficacy, and Effort. Informatics in Education, 22(4), 651-670. https://doi.org/10.15388/infedu.2023.26


JYU-tekijät tai -toimittajat


Julkaisun tiedot

Julkaisun kaikki tekijät tai toimittajatLakanen, Antti-Jussi; Isomöttönen, Ville

Lehti tai sarjaInformatics in Education

ISSN1648-5831

eISSN2335-8971

Julkaisuvuosi2023

Ilmestymispäivä17.04.2023

Volyymi22

Lehden numero4

Artikkelin sivunumerot651-670

KustantajaVilnius University Press

JulkaisumaaLiettua

Julkaisun kielienglanti

DOIhttps://doi.org/10.15388/infedu.2023.26

Julkaisun avoin saatavuusAvoimesti saatavilla

Julkaisukanavan avoin saatavuusKokonaan avoin julkaisukanava

Julkaisu on rinnakkaistallennettu (JYX)https://jyx.jyu.fi/handle/123456789/93548


Tiivistelmä

This research investigates university students’ success in their first programming course (CS1) in relation to their motivation, mathematical ability, programming self-efficacy, and initial goal setting. To our knowledge, these constructs have not been measured in a single study before in the Finnish context. The selection of the constructs is in line with the statistical model that predicts student performance (“PreSS”) (Quille and Bergin, 2018). The constructs are compared with various demographic and background variables, such as study major, prior programming experience, and average weekly working hours. Some of the main results of this study are as follows: (1) students generally entered with a high interest in programming and high motivation, but these factors did not increase during the course, i.e., interest in programming did not increase. (2) Having prior experience yielded higher initial programming self-efficacy, grade expectations, and spending less time on tasks, but not better grades (although worse neither). While these results can be seen as preliminary (and alarming in some parts), they give rise to future research for investigating possible expectation–performance gaps in CS1 and later CS studies. As our dataset accumulates, we also hope to be able to construct a valid success prediction model.


YSO-asiasanatopiskelijatohjelmointimatemaattiset taidotkiinnostusintressitmotivaatio

Vapaat asiasanatCS1-logiikat


Liittyvät organisaatiot


OKM-raportointiKyllä

Raportointivuosi2023

Alustava JUFO-taso1


Viimeisin päivitys 2024-25-02 klo 18:36