Literaturnachweis - Detailanzeige
Autor/inn/en | Rind, Irfan Ahmed; Ning, Bo |
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Titel | Evaluating Scientific Thinking among Shanghai's Students of High and Low Performing Schools |
Quelle | In: Journal of Educational Research, 113 (2020) 5, S.364-373 (10 Seiten)Infoseite zur Zeitschrift
PDF als Volltext |
Zusatzinformation | ORCID (Rind, Irfan Ahmed) ORCID (Ning, Bo) |
Sprache | englisch |
Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
ISSN | 0022-0671 |
DOI | 10.1080/00220671.2020.1832430 |
Schlagwörter | Science Process Skills; Thinking Skills; Prediction; Skill Development; Causal Models; Science Education; Educational Trends; High School Students; Adolescents; Grade 9; School Effectiveness; High Achievement; Low Achievement; Achievement Tests; Foreign Countries; International Assessment; Performance Factors; China (Shanghai); Program for International Student Assessment Denkfähigkeit; Vorhersage; Kompetenzentwicklung; Qualifikationsentwicklung; Kausalanalyse; Naturwissenschaftliche Bildung; Bildungsentwicklung; High school; High schools; Student; Students; Oberschule; Schüler; Schülerin; Studentin; Adolescent; Adolescence; Adoleszenz; Jugend; Jugendalter; Jugendlicher; School year 09; 9. Schuljahr; Schuljahr 09; Schuleffizienz; Unterdurchschnittliche Leistung; Achievement test; Achievement; Testing; Test; Tests; Leistungsbeurteilung; Leistungsüberprüfung; Leistung; Testdurchführung; Testen; Ausland; Leistungsindikator |
Abstract | Shanghai is dubbed as a role model for science and mathematics education as its fifteen-year-olds have been outperforming all in the Program for International Student Assessment (PISA) since 2009. Shanghai's achievements are attributed to its interest in adopting innovative international trends in education and equally effectively implementing these at its high and low-performing schools. One such trend in science education is based on the univariable and Control of Variable (CoV) strategies. This model is also used in constructing higher-order thinking items in science and mathematics assessments in PISA. Our first objective was to understand if students of Shanghai mastered the CoV strategies. Beyond CoV models, the emerging trend in science education promotes multivariable thinking among young adolescents. Our second objective was to understand if Shanghai has adopted this emerging trend and prepared its students on multivariable thinking. Using specially designed and previously validated assessments, we measured and compared the CoV and multivariable thinking skills of fifteen-year-olds representing one high and one low-performing school. Our results highlighted the equally exceptional performance of both schools in the CoV tasks and comparatively poor performance in the multivariable causal reasoning and prediction tasks. These findings may offer one aspect to understand Shanghai's performance in the PISA, at the same time highlight the weaknesses in its contemporary science education. (As Provided). |
Anmerkungen | Routledge. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals |
Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
Update | 2024/1/01 |