Skip to main content

Factors Determining the Student's Prior Mathematical Experience

  • Conference paper
  • First Online:
Mobility for Smart Cities and Regional Development - Challenges for Higher Education (ICL 2021)

Abstract

An important challenge that universities have faced in recent years is to increase students’ ability to achieve a sustainable future by incorporating the ecological, economic and social aspects of human existence. In the context of sustainable development, special attention is devoted to mathematics education because this discipline develops logical thinking and serves as a tool for taking substantiated decisions to foster the development of sustainable society. Despite it, the studies on students’ previous experience and the knowledge they gained in the pre-university learning process state that students’ mathematical knowledge has deteriorated significantly over the last decade. Diagnostic tests are commonly used to assess students’ knowledge of mathematics and previous experience. Several other factors that determine the student's prior mathematical experience are identified by the authors: math knowledge self-assessment, motivation is based on the attitude towards math, teaching strategies at school and rational thinking based on math potential values. These factors are used to measure Forest faculty students’ prior mathematical experience and the level of knowledge they gained in the pre-university learning process.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 229.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 299.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. De Kraker, J.A., Lansu, A., Van Dam-Mieras, R.: Competences and competence-based learning for sustainable development. In: de Kraker, J., A. Lansu, J., van Dam-Mieras, M.C. (eds.) Crossing Boundaries. Innovative learning for sustainable development in higher education, pp.103–114. Verlag für Akademische Schriften, Frankfurt (2014)

    Google Scholar 

  2. World Economic Forum 2018: The Future of Jobs Report. Insight Report. http://www3.weforum.org/docs/WEF_Future_of_Jobs_2018.pdf. Accessed 15 May 2021

  3. Recommendation of the European Parliament and of the Council of 18 December 2006 on key competences for lifelong learning (2006/962/EC). Official Journal of the European Union, L394, 30, pp. 10–18 (December 2006)

    Google Scholar 

  4. EC: Annex to Proposal for a Council Recommendations on Key Competences for Life-long Learning. https://eur-lex.europa.eu/resource.html?uri=cellar:395443f6-fb6d-11e7-b8f5-01aa75ed71a1.0001.02/DOC_2&format=PDF. Accessed 18 May 2021

  5. UNESCO: Textbooks for Sustainable Development. A Guide to Embedding, 186 p. UNESCO MGIEP (2017)

    Google Scholar 

  6. Latvia Implementation of the Sustainable Development Goals. Report to the UN High Level Political Forum on Sustainable Development 2018. https://www.pkc.gov.lv/sites/default/files/inline-files/Latvia%20Implementation%20of%20the%20SDGs_0.pdf. Accessed 08 May 2021

  7. Sustainable Development Goals. 17 Goals to Transform Our World. United Nations. https://www.un.org/sustainabledevelopment/sustainable-development-goals/. Accessed 17 May 2021

  8. Kislenko, K. Grevholm, B., Lepik, M.: Mathematics is important but Boring. Students’beliefs and attitudes towards mathematics. http://www.diva-portal.org/smash/get/diva2:1005253/FULLTEXT01.pdf. Accessed 28 Apr 2021

  9. Gould, M.: GIScience grand challenges: how can research and technology in this field address big - picture problems? ArcUser 13(4), 64–65 (2010)

    Google Scholar 

  10. Muchincky, P.M.: Psicologia Aplicada Al Trabajo. S.A. Ediciones Paraninfo, Madrid (2010)

    Google Scholar 

  11. UNESCO Teaching and Learning for a Sustainable Future. http://www.unesco.org/education/tlsf/. Accessed 11 May 2021

  12. Vorobjovs, A.: Adolescents mathematical competence formation influencing factors. In: Dislere, V. (ed.), The Proceedings of the International Scientific Conference Rural Environment. Education. Personality (REEP), 10. Jelgava: LLU TF, pp. 315–320 (2017)

    Google Scholar 

  13. OECD: Insights from the Talis-Pisa link data: teaching strategies for instructional quality. http://www.oecd.org/education/school/TALIS-PISA-LINK-teaching_strategies_brochure.pdf. Accessed 14 May 2021

  14. Andrade, H., Valtcheva, A.: Promoting learning and achievement through self-assessment. Theor. Pract. 48, 12–19 (2009)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Anna Vintere .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Vintere, A., Zvirgzdina, L. (2022). Factors Determining the Student's Prior Mathematical Experience. In: Auer, M.E., Hortsch, H., Michler, O., Köhler, T. (eds) Mobility for Smart Cities and Regional Development - Challenges for Higher Education. ICL 2021. Lecture Notes in Networks and Systems, vol 390. Springer, Cham. https://doi.org/10.1007/978-3-030-93907-6_41

Download citation

Publish with us

Policies and ethics