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Education for Innovation: the Role of Arts and STEM Education OECD/France Workshop – Paris, 23-24 May 2011. Effective Teaching for Improving Students ’ Motivation, Curiosity , and Self-Confidence in Science. Evidence from PISA 2006. Francesco Avvisati
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Education for Innovation: the Role of Arts and STEM EducationOECD/France Workshop – Paris, 23-24 May 2011 Effective Teaching for ImprovingStudents’ Motivation, Curiosity, and Self-Confidence in Science Evidence from PISA 2006 Francesco Avvisati OECD Centre for EducationalResearch and Innovation (CERI)
Outline • PISA measures of behavioural skills • The paradox of international comparisons of interest, curiosity, and self-confidence • between and within-country evidence • Teaching activities’ effectiveness on students’ learning • within-country evidence
PISA measures of behavioural skills • PISA Test • interest in science topics (“embedded”) • PISA Context Questionnaire • Enjoyment of science • Science self-concept • Science self-efficacy
Part I The Test-score / InterestParadox
Authentic attitudes or fake postures? • Social desirability bias?
The Test-Score/Interest Paradox Robustness • Interest is less sensitive to cultural biases • Adding confounders:
The Test-Score/Interest Paradox Conclusion • Some school cultures (teaching cultures?) have diverging effects on interest and scores • High stake testing? (extrinsic motivation) • Low academic standards? • Teaching to the test, lack of cognitive activation? Japan, Germany, Korea, France – United States, Chile, Israel, Portugal
Part II Effective Teaching
Effective Teaching: Motivation • What teaching activities are associated with better test-scores?(subject-based competences) • What type of teaching develops motivation, curiosity and self-confidence the most? (behavioural competences)
Effective Teaching: Data student reports on 4 clusters of activities • Interaction • Collaboration and participatory exchanges • Hands-on • Guided activities around lab experiments • Application • Drawing connections between school science and the outside world • Investigation • Autonomous student inquiries
Effective Teaching: Data • example: focus on models & applications
Effective Teaching: Methods Problems with interpreting correlations causally: • Pupils differ ex-ante (correlation might be spurious) • Control for observable individual and peer characteristics; control for reading scores. • Explore robustness across countries • Measurement error and reverse causality in reports of teaching activities • “back-up” reports with peer reports (instrumental variables estimation)
Effective Teaching: Interpretation • How big are effect sizes? • example: focus on models & applications How to interpret a unit increase? (+1 standard deviation) based on: “in all lessons” = every single lsn, “in most lsns” = every 2 lsns, “in some lsns” = every 5 lsns, “never or hardly ever” = every 10 lsns.
Conclusion • International comparisons do not need to limit themselves to “cognitive” test scores; • Patterns diverge between subject-based skills and science-related attitudes; • Inquiry based activities: effectiveness hinges critically on guidance; • Application activities foster positive attitudes to learning and self.
francesco.avvisati@oecd.org Thank You