Student and School-Level Factors to Predict Science Literacy for Two Top-Performing Countries in PISA 2015: Finland and Singapore

Autor/inn/en	Ustun, Ulas; Cansiz, Mustafa; Ozdemir, Ertugrul; Cansiz, Nurcan
Titel	Student and School-Level Factors to Predict Science Literacy for Two Top-Performing Countries in PISA 2015: Finland and Singapore
Quelle	In: International Journal of Science Education, 44 (2022) 4, S.579-603 (25 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Ustun, Ulas) ORCID (Cansiz, Mustafa) ORCID (Ozdemir, Ertugrul) ORCID (Cansiz, Nurcan)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0950-0693
DOI	10.1080/09500693.2022.2037167
Schlagwörter	Scientific Literacy; Cross Cultural Studies; Student Interests; Science Interests; Foreign Countries; Achievement Tests; Secondary School Students; International Assessment; Science Tests; Science Achievement; Student Characteristics; Institutional Characteristics; High Achievement; Low Achievement; Predictor Variables; Cultural Influences; Economic Factors; Social Influences; Finland; Singapore; Program for International Student Assessment + Suchen Sie Ihr Suchwort? Cultural comparison; Kulturvergleich; Studieninteresse; Ausland; Achievement test; Achievement; Testing; Test; Tests; Leistungsbeurteilung; Leistungsüberprüfung; Leistung; Testdurchführung; Testen; Sekundarschüler; Unterdurchschnittliche Leistung; Prädiktor; Cultural influence; Kultureinfluss; Ökonomischer Faktor; Sozialer Einfluss; Finnland; Singapur
Abstract	Finland and Singapore are both top-performing countries in international assessments such as PISA. Finland has been consistently one of the high-achievers regarding not only students' literacy levels but also educational equity. Similarly, Singapore has continuously shown outstanding performance in PISA. It outperformed all the other participants in all three literacy domains in PISA 2015. We believe exploring the factors affecting students' science literacy in these two top-performing countries will provide the low-performing countries with a useful guideline. In this regard, we aim to build models including the student and school-level factors associated with the students' science literacy in Finland and Singapore using PISA 2015 data. We conduct Hierarchical Linear Modeling to create these models. The sample includes 5882 students in Finland and 6115 students in Singapore. The resulting models explain about 43% and 40% of the within-school variance while they explain 62% and 71% of the between-school variance in science literacy in Finland and Singapore respectively. At the student level, students' enjoyment and interest in science are the most influential predictors of science literacy while at the school level, schools' economic, social, and cultural status is by far the most powerful predictor of science literacy in both Finland and Singapore. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01