IDEAS home Printed from https://ideas.repec.org/p/ipt/iptwpa/jrc109064.html
   My bibliography  Save this paper

Quality of Teaching and Learning in Science

Author

Listed:

Abstract

Quality teaching and learning is linked to the structural and process characteristics of educational systems. Importantly, the role of education policies, of schools and of teachers in promoting high student performance is increasingly recognized (IEA, 2016; Hanushek & Woessmann, 2014). International large-scale surveys (ILSA) such as PISA allow for envisioning what is amenable to change beyond what is determined by culture and to consider reforms that improve learning conditions (Hanushek & Woessmann, 2014). This report focuses on identifying the variation in different teaching practices in the Science classroom and their relation with students’ achievement. Using PISA 2015 data collected in the student and school questionnaires, the report offers an overview of the variations in teaching practices across European Member States (EU MS) and how they relate to students’ Science achievement. For this purpose, we present univariate statistics and we explore the proportion of variance in students’ achievement that can be explained by the use of different teaching practices. More specifically, this report answers the following research question: What is the relationship between teaching practices, the learning environment and students’ achievement in EU MS? A multilevel analysis is used for the available PISA 2015 data including different levels of analysis. These analyses contribute to our understanding of the differences and similarities among countries and provide evidence regarding teaching effectiveness, giving an overview about what works well in the Science classroom in EU MS. This information strengthens the evidence-base and can be used at the EU level to share knowledge about good practices and to inform policy initiatives that focus on high quality teaching (European Commission, 2016). Specific actions in this area are intended to help raise the skills’ levels of pupils and the workforce by improving the effectiveness of education and training systems (European Commission, 2015).

Suggested Citation

  • Patricia Costa & Luisa Araujo, "undated". "Quality of Teaching and Learning in Science," JRC Research Reports JRC109064, Joint Research Centre.
  • Handle: RePEc:ipt:iptwpa:jrc109064
    as

    Download full text from publisher

    File URL: https://publications.jrc.ec.europa.eu/repository/handle/JRC109064
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Oliver Falck & Constantin Mang & Ludger Woessmann, 2018. "Virtually No Effect? Different Uses of Classroom Computers and their Effect on Student Achievement," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 80(1), pages 1-38, February.
    2. Ralph Hippe & Luisa De Sousa Lobo Borges de Araujo & Patricia Dinis Mota da Costa, 2016. "Equity in Education in Europe," JRC Research Reports JRC104595, Joint Research Centre.
    3. Hanushek, Eric A., 2011. "The economic value of higher teacher quality," Economics of Education Review, Elsevier, vol. 30(3), pages 466-479, June.
    4. Schwerdt, Guido & Wuppermann, Amelie C., 2011. "Is traditional teaching really all that bad? A within-student between-subject approach," Economics of Education Review, Elsevier, vol. 30(2), pages 365-379, April.
    5. Oecd, 2011. "School Autonomy and Accountability: Are They Related to Student Performance?," PISA in Focus 9, OECD Publishing.
    6. Eric A. Hanushek & Margaret E. Raymond, 2006. "School accountability and student performance," Regional Economic Development, Federal Reserve Bank of St. Louis, issue Mar, pages 51-61.
    7. Oecd, 2013. "Are Countries Moving Towards More Equitable Education Systems?," PISA in Focus 25, OECD Publishing.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ralph Hippe & Luisa De Sousa Lobo Borges de Araujo & Patricia Dinis Mota da Costa, 2016. "Equity in Education in Europe," JRC Research Reports JRC104595, Joint Research Centre.
    2. Cordero, Jose M. & Gil-Izquierdo, María, 2018. "The effect of teaching strategies on student achievement: An analysis using TALIS-PISA-link," Journal of Policy Modeling, Elsevier, vol. 40(6), pages 1313-1331.
    3. Hidalgo-Cabrillana, Ana & Lopez-Mayan, Cristina, 2018. "Teaching styles and achievement: Student and teacher perspectives," Economics of Education Review, Elsevier, vol. 67(C), pages 184-206.
    4. Gil-Izquierdo, María & Cordero, José Manuel, 2017. "Guidelines for data fusion with international large scale assessments: Insights from the TALIS-PISA link," MPRA Paper 79781, University Library of Munich, Germany.
    5. Comi, Simona Lorena & Argentin, Gianluca & Gui, Marco & Origo, Federica & Pagani, Laura, 2017. "Is it the way they use it? Teachers, ICT and student achievement," Economics of Education Review, Elsevier, vol. 56(C), pages 24-39.
    6. Ludger Woessmann, 2016. "The Importance of School Systems: Evidence from International Differences in Student Achievement," Journal of Economic Perspectives, American Economic Association, vol. 30(3), pages 3-32, Summer.
    7. Chu, Jessica Hsiaochieh & Loyalka, Prashant & Chu, James & Qu, Qinghe & Shi, Yaojiang & Li, Guirong, 2015. "The impact of teacher credentials on student achievement in China," China Economic Review, Elsevier, vol. 36(C), pages 14-24.
    8. Johan Coenen & Ilja Cornelisz & Wim Groot & Henriette Maassen van den Brink & Chris Van Klaveren, 2018. "Teacher Characteristics And Their Effects On Student Test Scores: A Systematic Review," Journal of Economic Surveys, Wiley Blackwell, vol. 32(3), pages 848-877, July.
    9. José Antonio Molina Marfil & Oscar David Marcenaro Gutierrez & Ana Martín Marcos, 2016. "Procesos de enseñanza-aprendizaje y producción educativa: un análisis de la competencia matemática," Investigaciones de Economía de la Educación volume 11, in: José Manuel Cordero Ferrera & Rosa Simancas Rodríguez (ed.), Investigaciones de Economía de la Educación 11, edition 1, volume 11, chapter 32, pages 585-604, Asociación de Economía de la Educación.
    10. Martin Schlotter & Guido Schwerdt & Ludger Woessmann, 2011. "Econometric methods for causal evaluation of education policies and practices: a non-technical guide," Education Economics, Taylor & Francis Journals, vol. 19(2), pages 109-137.
    11. Gregorio Gimenez & Luis Vargas-Montoya, 2021. "ICT Use and Successful Learning: The Role of the Stock of Human Capital," Mathematics, MDPI, vol. 9(14), pages 1-15, July.
    12. Norman Gemmell & Patrick Nolan & Grant Scobie, 2017. "Public sector productivity: Quality adjusting sector-level data on New Zealand schools," Working Papers 2017/02, New Zealand Productivity Commission.
    13. Gilpin, Gregory A., 2012. "Teacher salaries and teacher aptitude: An analysis using quantile regressions," Economics of Education Review, Elsevier, vol. 31(3), pages 15-29.
    14. Kevin C. Bastian & Gary T. Henry & Charles L. Thompson, 2013. "Incorporating Access to More Effective Teachers into Assessments of Educational Resource Equity," Education Finance and Policy, MIT Press, vol. 8(4), pages 560-580, October.
    15. van Elk, Roel & van der Steeg, Marc & Webbink, Dinand, 2011. "Does the timing of tracking affect higher education completion?," Economics of Education Review, Elsevier, vol. 30(5), pages 1009-1021, October.
    16. Marta Medina-García & Lina Higueras-Rodríguez & Mª del Mar García-Vita & Luis Doña-Toledo, 2021. "ICT, Disability, and Motivation: Validation of a Measurement Scale and Consequence Model for Inclusive Digital Knowledge," IJERPH, MDPI, vol. 18(13), pages 1-17, June.
    17. Henda Omri & Anis Omri & Abdessalem Abbassi, 2024. "Macro-level determinants of entrepreneurial behavior and motivation," International Entrepreneurship and Management Journal, Springer, vol. 20(4), pages 2629-2667, December.
    18. J. Mitchell O'Toole, 2013. "A Review of "The High Quality Teacher: What Is Teacher Quality and How Do We Measure It?"," The Journal of Educational Research, Taylor & Francis Journals, vol. 106(4), pages 332-333, July.
    19. Catherine Haeck & Pierre Lefebvre, 2020. "The Evolution of Cognitive Skills Inequalities by Socioeconomic Status across Canada," Working Papers 20-04, Research Group on Human Capital, University of Quebec in Montreal's School of Management.
    20. De Villiers, Rouxelle & Hess, Alexandra Claudia, 2018. "Melding traditional and progressive andragogy in marketing education, using the hermeneutic competency development strategy," Australasian marketing journal, Elsevier, vol. 26(2), pages 140-156.

    More about this item

    Keywords

    Teaching; Learning; Science; PISA;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ipt:iptwpa:jrc109064. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Publication Officer (email available below). General contact details of provider: https://edirc.repec.org/data/ipjrces.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.