Management of semiotic representations in mathematics: Quantifications and new characterizations-Reference-Cited by-同舟云学术

Management of semiotic representations in mathematics: Quantifications and new characterizations

Published:2024-01-01 Issue:1 Volume:12 Page:11-20
ISSN:2301-251X
Container-title:European Journal of Science and Mathematics Education
language:
Short-container-title:EUR J SCI MATH ED

Author:

Ferretti Federica¹^ORCID,Gambini Alessandro²^ORCID,Spagnolo Camilla³^ORCID

Affiliation:

1. University of Ferrara, Ferrara, ITALY

2. Sapienza University of Rome, Rome, ITALY

3. Free University of Bozen-Bolzano, Bolzano, ITALY

Abstract

As highlighted in the literature, one of the main difficulties in mathematics is the management of different semiotic representations. This difficulty occurs in verticals throughout schooling and is often an obstacle to the proper learning process of mathematics. The present study aims to investigate the different facets of these difficulties with regard to mathematical tasks in secondary school. In particular, questions from Italian large-scale mathematics assessments are analyzed and interpreted through the theoretical lens of Duval’s (1993) theory. Statistical analyses on a robust national sample allow a framing of the main difficulties and provide valuable information in this field.

Publisher

Bastas Publications

Subject

Education

Link

https://www.scimath.net/download/management-of-semiotic-representations-in-mathematics-quantifications-and-new-characterizations-13827.pdf

Reference37 articles.

1. Atkin, J. M. (1998). The OECD study of innovations in science, mathematics and technology education. Journal of Curriculum Studies, 30(6), 647-660. https://doi.org/10.1080/002202798183369

2. Breakspear, S. (2012). The policy impact of PISA: An exploration of the normative effects of international benchmarking in school system performance. OECD Publishing. https://doi.org/10.1787/5k9fdfqffr28-en

3. Callingham, R., & Bond, T. (2006). Research in mathematics education and Rasch measurement. Mathematics Education Research Journal, 18(2), 1-10. https://doi.org/10.1007/BF03217432

4. Campbell, C., & Levin, B. (2009). Using data to support educational improvement. Educational Assessment, Evaluation and Accountability, 21(1), 47-65. https://doi.org/10.1007/s11092-008-9063-x

5. Casalvieri, C., Gambini, A., Spagnolo, C., & Viola, G. (2023). The concept of derivatives through eye-tracker analysis. In Proceedings of the 15th International Conference on Computer Supported Education (pp. 378-385). https://doi.org/10.5220/0011941100003470

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