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Teaching Mathematics and Computer Science

Vol. 21 No. 2 (2023)
Articles

Teaching correlation and regression in three European countries

Published:
2024-02-20
DOI Linkhttps://doi.org/10.5485/TMCS.2023.13291
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Keywords
teaching correlation and regression comparison of curricula ATD
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Copyright (c) 2024 Balázs Boller

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How To Cite
Selected Style: APA
Boller, B. (2024). Teaching correlation and regression in three European countries. Teaching Mathematics and Computer Science, 21(2), 161-183. https://doi.org/10.5485/TMCS.2023.13291
Abstract

In this article, we compare the presence of correlation and regression analysis in secondary education of Ireland, the Netherlands and Luxembourg, through the analysis of final-exam tasks and curricula based on the Anthropological Theory of Didactics (ATD). It points out that the same topic can appear in different ways and extent in curricula, even if the mathematics teaching goals are similar. This article is a kind of introduction to the research that explores the possibilities for the appearance of these concepts in the Hungarian mathematics education. Therefore, in the second part of the article, Hungarian curricular goals are included, and it is shown which methodology of the three studied countries has the greatest curricular basis in Hungary.

Subject Classification: 97xxx

References
  1. Artigue, M., & Winsløw, C. (2010). International comparative studies on mathematics education: a viewpoint from the anthropological theory of didactics. Recherche en Didactique des Mathématiques, 30., 47-82.
  2. Batanero, C., Gea, M., Díaz, C., & Canadas, G. (2014). Building high school pre-services teacher's knowledge to teach correlation and regression. ICOTS 9. Forrás: https://iase-web.org/icots/9/proceedings/pdfs/ICOTS9_1A3_BATANERO.pdf?1405041555
  3. Ben-Zvi, D. (2020). Data Handling and Statistics. In S. Lerman, Encyclopedia of Mathematics Education - Second edition (old.: 177). London: Springer.
  4. Ben-Zvi, D., & Garfield, J. (2008). Learning to Reason About Covariation. In Developing Students’ Statistical Reasoning (old.: 289). USA: Springer.
  5. Castro Sotos, A. E., Vanhoof, S., Van Den Noortgate, W., & Onghena, P. (2009). The transitivity misconception of Pearson's correlation coefficient. Statistics Eduation Research Journal, 8(2) 33-55.
  6. DEC, D. C. (2004). A Brief Description Of the Irish Education System. Ireland: Communications Unit, Department of Education and Science. Letöltés dátuma: 2023. 01 10, forrás: https://assets.gov.ie/24755/dd437da6d2084a49b0ddb316523aa5d2.pdf
  7. Engel, J., & Sedlmeier, P. (2011). Correlation and Regression in the Training of Teachers. In C. Batanero, Teaching Statistics in School Mathematics-Challenges for Teaching and Teacher Education: A Joint ICMI/IASE Study: The 18th ICMI Study (old.: pp. 247-258). Springer.
  8. Estepa, A., & Sánchez Cobo, F. (1998). Correlation and regression in secondary school text books. ICOTS 5. Forrás: https://iase-web.org/documents/papers/icots5/Topic6d.pdf?1402524957
  9. (2021). Examen de fin Détudes secondaires générales. Luxembourg: Ministry of Education, Children and Youth. Letöltés dátuma: 2023. 01 10, forrás: https://portal.education.lu/Portals/0/Documents/examens/ESG/2021/GCG/MATHE_GCG_écrit_juin_repêchage.pdf?ver=2n2Fzb8k8A-S3-NLSHEfHA%3d%3d
  10. Gea, M., Batanero, C., Lopez-Martin, M., & Arteaga, P. (2016). Research on the perception and learning of correlation and regression. 32. 234-256. Forrás: https://www.researchgate.net/publication/312419434_Research_on_the_perception_and_learning_of_correlation_and_regression
  11. Hemerik, L. (dátum nélk.). Lineaire regressie - -Het toetsen van samenhang tussen twee variabelen-. Wageningen University - Wiskundige en Statistische Methoden.
  12. Hungarian National Curriculum. (2020). Magyar Közlöny. Letöltés dátuma: 2023. 01 10, forrás: https://magyarkozlony.hu/dokumentumok/3288b6548a740b9c8daf918a399a0bed1985db0f/letoltes
  13. Kozak, M. (2008). Correlation and regression: similar or different concepts? Statistics in Transition Vol. 9, No. 1, 159—162.
  14. LME, L. (2020). The luxembourg Education System. Luxembourg: Children and Youth. Letöltés dátuma: 2023. 01 10, forrás: https://men.public.lu/dam-assets/catalogue-publications/divers/informations-generales/the-luxembourg-education-system-en.pdf
  15. Math4all - Lineaire regressie. (2021). Forrás: https://www.math4all.nl/overzichten/vwo-a/20
  16. Nationaal Expertisecentrum Leerplanontwikkeling. (2019. 10 10). Leergebied Rekenen & Wiskunde. Samen bouwen aan het primair en voortgezet onderwijs van morgen. Amersfoort, Netherlands: Nationaal Expertisecentrum Leerplanontwikkeling. Letöltés dátuma: 2023. 01 07, forrás: https://curriculum.nu/download/rw/Voorstellen-ontwikkelteam-Rekenen-en-Wiskunde.pdf
  17. NCCA, N. (2015). Mathematics Syllabus - Foundation, Ordinary and Higher level. Ireland: An Roinn Oideachais agus Scileanna. Letöltés dátuma: 2023. 01 10, forrás: https://curriculumonline.ie/getmedia/f6f2e822-2b0c-461e-bcd4-dfcde6decc0c/%20SCSEC25_Maths_syllabus_examination-2015_English.pdf
  18. (2019). PISA2018 Summary report. Oktatási Hivatal. Forrás: https://www.oktatas.hu/pub_bin/dload/kozoktatas/nemzetkozi_meresek/pisa/PISA2018_v6.pdf
  19. SEC, S. (2022). Leaving Certificate Examination 2022 - Mathematics, Higher level. Letöltés dátuma: 2023. 01 10, forrás: https://www.examinations.ie/archive/exampapers/2022/LC003ALP200EV.pdf
  20. The Netherlands Mathematics A final exam test - VWO. (2022). Forrás: https://www.examenblad.nl/examendocument/2022/cse-1/wiskunde-a-vwo/opgaven/2022/vwo/f=/VW-1024-a-22-1-o.pdf
  21. (2019). Toelichting Rekenen & Wiskunde. Forrás: https://www.eerstekamer.nl/nonav/overig/20191010/toelichting_rekenen_wiskunde/document
  22. Walker, J. (2004). Teaching regression with simulation. Proceedings of the 2004 Winter Simulation Conference, (old.: Proceedings of the 2004 Winter Simulation Conference). USA.
  23. Watson, J. (2009). Joan B. Garfield and Dani Ben-Zvi: Developing students’ statistical reasoning: connecting research and teaching practice. ZDM Mathematics Education, 41:393–395. doi:10.1007/s11858-009-0176-6