Relating Teenagers' Science Interest Network Characteristics to Later Science Course Enrolment: An Analysis of Australian PISA 2006 and Longitudinal Surveys of Australian Youth Data

Autor/inn/en	Sachisthal, Maien S. M.; Jansen, Brenda R. J.; Dalege, Jonas; Raijmakers, Maartje E. J.
Titel	Relating Teenagers' Science Interest Network Characteristics to Later Science Course Enrolment: An Analysis of Australian PISA 2006 and Longitudinal Surveys of Australian Youth Data
Quelle	In: Australian Journal of Education, 64 (2020) 3, S.264-281 (18 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Sachisthal, Maien S. M.)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0004-9441
DOI	10.1177/0004944120957477
Schlagwörter	Adolescents; Grade 10; Grade 12; High School Students; Secondary School Science; Course Selection (Students); Enrollment Influences; Chemistry; Physics; Biology; Science Interests; Science Careers; Intention; Value Judgment; Knowledge Level; Predictor Variables; Networks; Models; Foreign Countries; Achievement Tests; International Assessment; Surveys; Longitudinal Studies; Self Concept; Australia; Program for International Student Assessment; Longitudinal Surveys of Australian Youth + Suchen Sie Ihr Suchwort? Adolescent; Adolescence; Adoleszenz; Jugend; Jugendalter; Jugendlicher; School year 12; 12. Schuljahr; Schuljahr 12; High school; High schools; Student; Students; Oberschule; Schüler; Schülerin; Studentin; Course selection; Kurswahl; Chemie; Physik; Biologie; Werturteil; Wissensbasis; Prädiktor; Analogiemodell; Ausland; Achievement test; Achievement; Testing; Test; Tests; Leistungsbeurteilung; Leistungsüberprüfung; Leistung; Testdurchführung; Testen; Survey; Umfrage; Befragung; Longitudinal study; Longitudinal method; Longitudinal methods; Längsschnittuntersuchung; Selbstkonzept; Australien
Abstract	Recently, students' interest in science has been conceptualized as a network model: the science interest network model (SINM) in which affective, behavioural and cognitive components interact together; building on science interest being a dynamic relational construct. In the current study, we combine the Australian Programme for International Student Assessment (PISA) 2006 and Longitudinal Surveys of Australian Youth 2008 data (N = 4758) to investigate relationships between the network characteristics of Year 10 students with their decision to enrol in a science course in Year 12. Specifically, we identified indicators central to the SINM and tested whether they predicted chemistry, physics and biology course enrolment. Students' intentions to pursue a science-related study or career (future intentions in science) and their enjoyment of science (science enjoyment) were the most central indicators for all three science courses. Centrality was strongly related to course enrolment (r = 0.36-0.74), lending support to the validity of network theory in the context of science interest, as central indicators may play an influential role within the network. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01