Young children representing data

Joana Ribeiro, Ema Mamede


The study aimed to understand young children’s ideas (4-6-year-olds, N=24) when collecting, organizing and representing data. It focuses on: 1) How do children understand data collection and organization? 2) What sort of difficulties do children have when representing data? A six sessions intervention was implemented, in which children worked with real objects and graphs (real and pictures). A qualitative analysis was used to explore children’s ideas related to data representation. Results show that children are able to collect and organize data; and they can interpret information from a simple real graph and translate it into a pictogram, with understanding.


Analysing data; real graphs; pictograms; data in kindergarten

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Baratta-Lorton, M. (1995). Mathematics their way. NY: Dale Seymour Publications.

Baroody, A. (2000). Incentivar a aprendizagem matemática das crianças. In B. Spodek (Org.), Manual de Investigação em Educação de Infância, pp. 334-390. Lisboa: Fundação Calouste Gulbenkian.

Bogdan, R. & Bicklen, S. (2010). Investigação Qualitativa em Educação. Porto: Porto Editora.

Castro, J. & Rodrigues, M. (2008). Sentido de número e organização de dados – textos de Apoio para Educadores de Infância. Lisboa: Ministério da Educação – DGIDC.

Cazorla, I. M. (2002). A relação entre a habilidade viso-pictórica e o domínio de conceitos estatísticos na leitura de gráficos. Tese de doutoramento. Universidade de Campinas, São Paulo, Brasil. [Accessed in September 2017,

Clements, D. H. & Sarama, J. (2018). Myths of Early Math. Education Sciences, 8, 71-79.

Curcio, F. R. (1987). Comprehension of Mathematical Relationships Expressed in Graphs. Journal for Research in Mathematics Education, 18, 382-393. [Accessed in September 2017,

English, L. (2016). Revealing and capitalising on young children’s mathematical potential. ZDM Mathematics Education, 48,1079–1087.

English, L. (2012a). Data modelling with first-grade students. Educational Studies in Mathematics, 81,15–30.

English, L. (2012b). Young Children’s Metarepresentational Competence in Data Modelling. In J. Dindyal, L. P. Cheng & S. F. Ng (Eds.), Mathematics education: Expanding horizons (Proceedings of the 35th Annual Conference of the Mathematics Education Research Group of Australasia), 266-273. Singapore: MERGA.

Frye, D., Baroody, A. J., Burchinal, M., Carver, S. M., Jordan, N. C., & McDowell, J. (2013). Teaching math to young children: A practice guide (NCEE 2014-4005). Washington, DC: National Center for Education Evaluation and Regional Assistance (NCEE), Institute of Education Sciences, U.S. Department of Education. Retrieved from the NCEE [Accessed in February 2019] website:

Merriam, S. B. (1988). Case study research in education: A qualitative approach. San Francisco, CA: Jossey-Bass.

National Council of Teacher of Mathematics (2007). Principles and Standards for School Mathematics. Reston, VA: NCTM.

Pinker, S. (1990). A theory of graph comprehension. In R. Freedle (Ed.), Artificial intelligence and the future testing (pp. 73-126). Hillsdale, NJ: Erlbaum.

Silva, I. L., Marques, L., Mata, L., & Rosa, M. (2016). Orientações Curriculares para a Educação Pré-Escolar. Ministério da Educação / Direção-Geral da Educação.

Yin, R. (2010). Estudo de caso. Planejamento e métodos, (4.ª ed.). Porto Alegre: Bookman.

Categories: 2019, Articles, Mathematics Education

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