What Teaching Practices Are Behind A High Achievement In Science
Author(s):
Imbi Henno (presenting / submitting) Priit Reiska
Conference:
ECER 2014
Format:
Paper

Session Information

09 SES 14 A, Findings from Large-Scale Assessments: Relating Teaching and Teacher Characteristics to Student Achievement

Paper Session

Time:
2014-09-05
15:30-17:00
Room:
B010 Anfiteatro
Chair:
Andres Sandoval-Hernandez

Contribution

In recent years, Estonia has done outstandingly well in all major international comparative studies which assess the students’ learning outcomes: TIMSS 2003 and PISA 2006, 2009 and 2012. Estonia has always performed above the OECD average in math, science and reading and demonstrated the excellence through the equity.  Estonia’s improvement in PISA 2012 and recent educational policies and programmes was high-lighted in PISA 2012 international report (OECD 2013).

Estonia had the smallest proportion of students who perform below proficiency Level 2 (low performers) in math, reading and science in PISA 2012 in Europe. Estonia was already in PISA 2009, alongside the three EU Member States (with Finland and Netherland) which were above the benchmark of basic skills - Horizon 2020. Between 2006 and 2012 Estonia, increased the share of students who perform at or above proficiency Level 5 (top performers) and simultaneously reduced the share of low performers in science.

Shanghai-China and Estonia had the smallest proportion of low performers and had highest percentages (more than 75%) of students who perform at least Level 3 or higher in science.

However, those studies also revealed that although the Estonian educational system has been quite successful in supporting the learning of all students, there were statistically significant differences in performance in all fields (reading, math and science) between Estonian (ESTLI) and Russian language-instructions (RUSLI) schools.  At the same time, although Estonian students of ethnical Russian background had lower scores, they outperformed the students from Russia.

Education is multicultural and socially reconstructionist. Reinikainen (2007) claims that multi- and single country analyses focused largely on theoretical and methodological issues rather than describing and explaining the cultural issues and situations in which these results were actually produced. The researchers have shown that students’ achievement is connected with national cultural values and that a framework of cultural understanding is essential for cross-national educational research (Planel, 1997). LeTendre (2002) states that the static, national case study approach ultimately masks important findings regarding the range of cultural variation within national subunits.

The idea that what makes a “good” teacher depends on the culturally influenced expectations of students, parents, and the teachers. Many studies have described that the teaching practice are related to student outcomes (Wang, Haertel and Walberg, 1993). A number of authors have used, for example, measures of the effects of constructivist compared with “direct transmission” beliefs on teaching and learning, developed by Peterson et al. (1989).

TALIS showed differences in teacher beliefs about teaching and classroom teaching practices between teachers in ESTLI and RUSLI schools. In general, teachers in ESTLI schools had a rather constructivist view on learning and instruction, the teachers in RUSLI schools believed more in knowledge transmission, direct instruction of students and fact-based teaching. (Loogma, Ruus, Talts, & Poom-Valickis 2009). More fact-based teaching and weaker development of students’ metacognitive skills are more typical for Russian language instruction schools (Säälik, 2012).

The achievement differences in international studies are important to expand with cultural variation within national subunits. Based on authors’ previous research, we can argue that the differences in attitudes and science performance of the schools using two different languages of instruction do not stem from language problems, immigrant or socio-economic background, or low motivation rates. (Henno, Reiska 2013).

The different aspects and results previously presented have posed the central question of this study – “Could the science achievement differences between students of different language instructions schools be explained with classroom level different instructional practices.”

What teaching practises - implementation of interactive versus transmissive science teaching -dominate in science lessons of different language instruction schools?

Method

The current study is based on secondary data analysis of PISA 2006, 2009, 2012 survey’s and TALIS data. No additional data was collected. The following variables were selected for undertaking the analysis for this study: four different background indices of science teaching from PISA 2006: focus on applications (hereinafter SCAPPLY), student investigations (hereinafter SCINVEST), interaction (hereinafter SCINTACT) and hands-on activities (hereinafter SCHANDS) covering the students opportunities to explain their ideas, doing practical experiments, doing experiments by following the instructions of the teacher, students were given the chance to choose their own investigations, were asked to apply a school science concept to everyday problems; and two teachers` profiles of teachers’ beliefs about teaching: indices from TALIS - direct transmission and constructivist approaches. Statistical software package Statistical Package for the Social Sciences was used for the data analysis tests of significance (Chi-squared test, T-test, ANOVA). Based on PISA procedures, the model coefficients and statistics were estimated using a full maximum likelihood procedure. Normalized students final weights (W_FSTUWT) were used, so that the sum of the weights was equal to the number of students in the dataset. Five plausible values (PV1SCIE-PV5SCIE) for the students’ science performance were used for computing the outcome variable. Throughout the analysis, the effect was considered statistically significant if the p-value was below 0.05.

Expected Outcomes

The comparison of classroom science-related activities showed that RUSLI schools’ students reported in PISA 2006 higher level that their science teaching focus on applications (p = 0,000), hands-on activities (p = 0,000), interaction (p = 0,000), student investigations (p = 0,000). Based on TALIS survey it was found, that there was statistically significant difference between different language instruction schools science teachers’ instructional beliefs. RUSLI schools teachers supported more direct transmission instructions (F[1, 595]=42,9, p = 0,000). ESTLI science teachers show a stronger preference for a constructivist view. ESTLI science teachers reporter more that: students should be allowed to think of solutions to practical problems themselves (p = 0,000); thinking and reasoning processes are more important than specific curriculum content (p = 0,002); a quiet classroom is generally needed for effective learning (p = 0,000). RUSLI science teachers reporter more that: effective/good teachers demonstrate the correct way to solve a problem (p = 0,000); teachers know a lot more than students (p = 0,000); instruction should be built around problems with clear, correct answers (p = 0,000); teaching facts is necessary (p = 0,000). As we see, the student`s and science teacher`s responses are inconsistent. It has be claimed, that interactive science teaching has a positive impact on students’ achievement and learning strategies. Although the Russian students reported higher level student-oriented classroom practices, the ESTLI schools’ average mean performance in science have been higher in all PISA studies. The degree to which interactive teaching is implemented in classrooms differs in schools. The differences may be related to cultural beliefs about teaching practices but also to response style differences between cultures. The effective science teaching and learning may be a mixture of different teaching and learning activities. The data needs follow-up data interpretations.

References

References Henno, I., Reiska, P. (2013). Impact of the socio-cultural context on student science performance and attitudes: The case of Estonia. Journal of Baltic Science Education, 12(4), 465-481. Kobarg, M., Prenzel, M., Seidel, T., Walker, M., McCrae, B., Cresswell, J. & Wittwer, J. (2011). An International Comparison of Science Teaching and Learning - Further Results from PISA 2006. Münster: Waxmann. LeTendre, G. (2002). Advancements in conceptualizing and analyzing cultural effects in cross-national studies of educational achievement. In National Research Council, Methodological Advances in Large-Scale Cross-National Education Surveys (pp. 198-230). Washington, DC: National Academy Press. Loogma, K., Ruus, V. R., Talts, L., Poom-Valickis, K. (2009). Õpetaja professionaalsus ning tõhusama õpetamis- ja õppimiskeskkonna loomine. OECD rahvusvahelise õpetamise ja õppimise uuringu TALIS tulemused. Tallinn: Tallinna Ülikool. OECD (2007). PISATM 2006 science competencies for tomorrow’s world. Volume I and II. Analysis. Paris: OECD. OECD (2013). PISA 2012 Results: What Students Know and Can Do. Student Performance in Mathematics, Reading and Science. Volume I. Paris: OECD. Peterson, P. L., Fennema, E., Carpenter, T. P., & Loef, M. (1989). Teachers' pedagogical content beliefs in mathematics. Cognition and Instruction, 6(1), 1–40. Planel, C. (1997). National Cultural Values and Their Role in Learning: a comparative ethnographic study of state primary schooling in England and France. Comparative Education, 33(3), 349 - 373. Reinikainen, P. (2007). Sequential Explanatory Study of Factors Connected with Science Achievement in Six Countries: Finland, England, Hungary, Japan, Latvia and Russia. Jyväskylä, Jyväskylä. Säälik, Ü. (2012). Millised on vene ja eesti õppekeelega koolides õpetaja-õpilase suhted, distsipliin, hindamine, õpi- ning õpetamismeetodid?. Mikk, J., Kitsing, M., Must, O., Säälik, Ü., & Täht, K.. (Koost), Eesti PISA 2009 kontekstis: tugevused ja probleemid. Programmi Eduko uuringutoetuse kasutamise lepingu aruanne. (72-81). Tartu: Haridus- ja teadusministeerium Wang, M.C, Haertel, G.D., & Walberg, H.J. (1993). Toward a knowledge base for school learning. Review of Educational Research, 63, 249-294.

Author Information

Imbi Henno (presenting / submitting)
Tallinn University
Educational Science
Tallinn
Tallinn University
Tallinn

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