Students’ Science Motivation: A Cross- Country Analysis of the Relationship with the Science Literacy Level

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Abstract

The paper presents results of a comparative study of motivation for studying science in Russia and leading countries in science education. We explored the relationship and its strength between various types of motivation and the level of science literacy. The analysis was based on the data of the international study PISA-2015, represented by a sample of 15-year-olds (N = 6036).We found a significant positive correlation between intrinsic and achievement motivation and the level of science literacy almost in all analysed countries. At the same time, in case of intrinsic motivation — which is the strongest predictor for achievement in other countries — the increase in PISA results was lower for Russian students. On the other side, with an increase in motivation focused on academic achievement, Russian students have one of the most noticeable increases in results in comparison with leading countries. The nonlinear nature of the relationship between instrumental motivation and the PISA results for Russian students was also revealed — students with the highest and lowest levels of this type of motivation show the best results. The potential prospects of using different kinds of programs for raising motivation and achievement are discussed.

General Information

Keywords: motivation, science literacy, school education, cross-country research, PISA

Journal rubric: Educational Psychology

Article type: scientific article

DOI: https://doi.org/10.17759/pse.2020250607

Funding. The reported study was funded by RFBR, project number 19-29-14190.

For citation: Getman A.V., Kersha Y.D., Kosaretsky S.G. Students’ Science Motivation: A Cross- Country Analysis of the Relationship with the Science Literacy Level. Psikhologicheskaya nauka i obrazovanie = Psychological Science and Education, 2020. Vol. 25, no. 6, pp. 77–87. DOI: 10.17759/pse.2020250607. (In Russ., аbstr. in Engl.)

References

  1. V kakom napravlenii razvivaetsya rossiiskaya sistema obshchego obrazovaniya? (po rezul’tatam mezhdunarodnoi programmy PISA-2018) [Elektronnyi resurs] [What destination is Russian educational system developing in? (Based on PISA-2018 data)].URL: http:// www.centeroko.ru/public.html (Accessed 20.06.2020).
  2. Kovaleva G.S.Rezul’taty mezhdunarodnogo issledovaniya PISA: kachestvo obrazovaniya [Results of international testing PISA: quality of education].Shkol’nye tekhnologii = School Technologies, 2011, no. 4, pp.193—200.(In Russ.).
  3. Kapuza A.V.[i dr.] Obrazovatel’nye rezul’taty i sotsial’noe neravenstvo v Rossii [Academic achievement and social inequalilty in Russia].Voprosy obrazovaniya = Educational Studies, no.4, pp.10—35.DOI:10.17323/1814-9545-2017-4-10-35 (In Russ.).
  4. Kovaleva G.S.[i dr.] Rezul’taty mezhdunarodnogo sravnitel’nogo issledovaniya PISA v Rossii [Results of international assessment PISA in Russia].Voprosy obrazovaniya = Educational Studies, 2004, no.1, pp. 138—180.(In Russ.).
  5. Rossiya v reitinge stran po publikatsionnoi aktivnosti uchenykh: estestvennye i tochnye nauki [Elektronnyi resurs] [Russia in the rating of countries according to scientists’publication activity: natural sciences].URL: https://issek.hse.ru/news/221554522.html (Accessed 20.06.2020).
  6. Pentin A.Y.[i dr.] Sostoyanie estestvennonauchnogo obrazovaniya v rossiiskoi shkole po rezul’tatam mezhdunarodnykh issledovanii TIMSS i PISA [The condition of science education in Russian schools according to the results of international assessments TIMSS and PISA].Voprosy obrazovaniya = Educational Studies, 2018, no.1, pp.79—109.DOI:10.17323/1814- 9545-2018-1-79—109 (In Russ.).
  7. Aeschlimann B., Herzog W., Makarova E.How to foster students’ motivation in mathematics and science classes and promote students’ STEM career choice.A study in Swiss high schools.International Journal of Educational Research, 2016.Vol.79, pp.31—41.DOI:10.1016/j.ijer.2016.06.004
  8. Chandrasena W.et al.Seeding Science Success: Psychometric Properties of Secondary Science Questionnaire on Students’ Self-Concept, Motivation, and Aspirations.Australian Journal of Educational and Developmental Psychology, 2014.Vol.14, pp.186—201.
  9. Eastwell P., Rennie L.Ă.Using Enrichment and Extracurricular Activities to Influence Secondary Students’ Interest and Participation in Science.Science Education Review, 2002.Vol.1, no.4.
  10. Fenichel M., Schweingruber H.A.Surrounded by science: Learning science in informal environments.Washington, DC: National Academies Press, 2010.
  11. Fortier M.S., Vallerand R.J., Guay F.Academic motivation and school performance: Toward a structural model.Contemporary educational psychology, 1995.Vol.20, no 3, pp.257—274.DOI:10.1006/ ceps.1995.1017
  12. Gamboa L.F., Rodríguez Acosta M., García- Suaza A.Differences in motivations and academic achievement.Lecturas de Economía, 2013.Vol.78, pp. 9—44.
  13. He J., Barrera-Pedemonte F., Buchholz J.Cross-cultural comparability of noncognitive constructs in TIMSS and PISA.Assessment in Education: Principles, Policy & Practice, 2019.Vol.26, no.4, pp.369—385.DOI:0.1080/0969594X.2018.1469467
  14. Hulleman C.S., Harackiewicz J.M.Promoting interest and performance in high school science classes.Science, 2009.Vol.326 (5958), pp.1410— 1412.DOI:10.1126/science.1177067
  15. Kuo M.J.How does an online game based learning environment promote students’ intrinsic motivation for learning natural science and how does it affect their learning outcomes? First IEEE International Workshop on Digital Game and Intelligent Toy Enhanced Learning (DIGITEL’07), 2007, pp.135—142.DOI:10.1109/ DIGITEL.2007.28
  16. Nagengast B., Marsh H.W.Motivation and engagement in science around the globe: Testing measurement invariance with multigroup structural equation models across 57 countries using PISA 2006.Handbook of International Large-scale Assessment. Background, Technical Issues, and Methods of Data Analysis, 2014, pp.317—344.
  17. OECD.PISA 2015 results (Volume I): Excellence and equity in education.Paris: OECD Publishing, 2016.
  18. OECD.Scaling Procedures and Construct Validation of Context Questionnaire Data.PISA 2015 Technical Report, 2017.
  19. Peña-López I.et al. PISA 2015 results (Volume I).Excellence and equity in education, 2016.
  20. Ross S.P.Motivation correlates of academic achievement: Exploring how motivation influences academic achievement in the PISA 2003 dataset: PhD (Psychology) Thesis.Victoria, 2008.
  21. Spandana B., Rani R.N., Devi S.S.Students’ Motivation towards Science Learning (SMTSL) — An Intervention with Video and Quizzes.Current Journal of Applied Science and Technology, 2020, pp.85—91.DOI:10.9734/cjast/2020/v39i430534
  22. Spinath B.et al.Predicting school achievement from general cognitive ability, self-perceived ability, and intrinsic value.Intelligence, 2006.Vol.34, no.4, pp. 363—374.DOI:10.1016/j.intell.2005.11.004
  23. Taştan S.et al.The impacts of teacher’s efficacy and motivation on student’s academic achievement in science education among secondary and high school students.Eurasia Journal of Mathematics, Science and Technology Education, 2018.Vol.14, no.6, pp.2353— 2366.DOI:10.29333/ejmste/97832
  24. Taylor G.et al.A self-determination theory approach to predicting school achievement over time: The unique role of intrinsic motivation.Contemporary Educational Psychology, 2014.Vol.39, no.4, pp.342— 358.DOI:10.1016/j.cedpsych.2014.08.002
  25. Wigfield A., Wentzel K.R.Introduction to motivation at school: Interventions that work.Educational Psychologist, 2007.Vol.42, no.4, pp.191—196.DOI:10.1080/00461520701621038
  26. Wijsman L.A.et al.Promoting performance and motivation through a combination of intrinsic motivation stimulation and an extrinsic incentive.Learning Environments Research, 2019.Vol.22, no.1, pp.65— 81.DOI:10.1007/s10984-018-9267-z
  27. Wu X.et al.The essential characteristics of museum-based science learning and its influential factors.Journal of Beijing Normal University (Social Science), 2009.Vol.5, pp.13—19.

Information About the Authors

Anastasia V. Getman, PhD Student, Teacher, Institute of Education, National Research University Higher School of Economics, Moscow, Russia, ORCID: https://orcid.org/0000-0002-5291-3923, e-mail: agetman@hse.ru

Yulia D. Kersha, PhD Student, Research Intern of the Pinsky Centre of General and Extracurricular Education, Institute of Education, National Research University Higher School of Economics, Moscow, Russia, ORCID: https://orcid.org/0000-0002-4481-380X, e-mail: ykersha@hse.ru

Sergey G. Kosaretsky, PhD in Psychology, Director of the Pinsky Centre of General and Extracurricular Education, Institute of Education, HSE University, Moscow, Russia, ORCID: https://orcid.org/0000-0002-8905-8983, e-mail: skosaretski@hse.ru

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