Using Eurostat data to teach statistics to prospective primary teachers: on how the context of the task may promote their social awareness
Tóm tắt
Từ khóa
Tài liệu tham khảo
Arnold (2013). Statistical Investigative Questions - An Enquiry into Posing and Answering Investigative Questions from Existing Data [Doctoral Thesis]. University of Auckland. https://researchspace.auckland.ac.nz/handle/2292/21305.
Arnold, P., & Franklin, C. (2021). What makes a good statistical question? Journal of Statistics and Data Science Education, 29(1), 122–130. https://doi.org/10.1080/26939169.2021.1877582
Bargagliotti, A., Franklin, C., Arnold, P., Gould, R., Johnson, S., Perez, L., & Spangler, D. (2020). Pre-K-12 Guidelines for Assessment and Instruction in Statistics Education II (GAISE II): A Framework for Statistics and Data Science Education. American Statistical Association. Retrieved from https://www.amstat.org/asa/files/pdfs/GAISE/GAISEIIPreK-12_Full.pdf
Cobb, G. W., & Moore, D. S. (1997). Mathematics, statistics, and teaching. The American Mathematical Monthly, 104(9), 801–823. https://doi.org/10.2307/2975286
Cohen, L., Manion, L., & Morrison, K. (2007). Research methods in education (6th ed.). Routledge Falmer.
Decree 143/2007, of 26 June, of the Department of Education, of the Generalitat de Catalunya, by which the ordering of compulsory secondary education is established]. [http://cido.diba.cat/legislacio/936598/decret-1432007-de-26-de-juny-pel-qual-sestableix-lordenacio-dels-ensenyaments-de-leducacio-secundaria-obligatoria]
delMas, R. C. (2004). A comparison of mathematical and statistical reasoning. In J. Garfield & D. Ben-Zvi (Eds.), The challenge of developing statistical literacy, reasoning, and thinking (pp. 79–95). Kluwer.
Engel, J., Ridgway, J., & Weber Stein, F. (2021). Educación Estadística, Democracia y Empoderamiento de los Ciudadanos. PARADIGMA, 41(e1), 01–31. https://doi.org/10.37618/PARADIGMA.1011-2251.2021.p01-31.id1016
Franklin, C., Kader, G., Mewborn, D., Moreno, J., Peck, R., Perry, M., & Scheaffer, R. (2007). Guidelines for Assessment and Instruction in Statistics Education (GAISE) report: A Pre-K-12 curriculum framework. American Statistical Association. Retrieved from https://www.amstat.org/asa/files/pdfs/GAISE/GAISEPreK-12_Full.pdf
Franklin, C., Bargagliotti, A., Case, C., Kader, G., Scheaffer, R., & Spangler, D. (2015). Statistical education of teachers. American Statistical Association. Retrieved from http://www.amstat.org/education/SET/SET.pdf.
Gal, I. (2002). Adults’ statistical literacy: Meanings, components, responsibilities. International Statistical Review, 70(1), 1–25. https://doi.org/10.2307/1403713
Garfield, J. B. (2002). The challenge of developing statistical reasoning. Journal of Statistics Education. https://doi.org/10.1080/10691898.2002.11910676
Garfield, J. B., & Ben-Zvi, D. (2008). Developing students’ statistical reasoning: Connecting research and teaching practice. Springer.
Garfield, J., del Mas, R., & Zieffler, A. (2010). Assessing important learning outcomes in introductory tertiary statistics courses. Assessment Methods in Statistical Education: an International Perspective. https://doi.org/10.1002/9780470710470.ch7
Gibbs, G. R. (2007). Analyzing qualitative data. SAGE Publications Ltd. https://doi.org/10.4135/9781849208574
IDSSP Curriculum Team (2019). Curriculum Frameworks for Introductory Data Science. http://idssp.org/files/IDSSP_Frameworks_1.0.pdf
Lesser, L. M. (2007). Critical values and transforming data: Teaching statistics with social justice. Journal of Statistics Education. https://doi.org/10.1080/10691898.2007.11889454
Ograjensek, I., & Gal, I. (2016). Enhancing statistics education by including qualitative research. International Statistical Review, 84(2), 165–178. https://doi.org/10.1111/insr.12158
ProCivicStat Partners (2018). Engaging Civic Statistics: A Call for Action and Recommendations. A product of the ProCivicStat Project. http://IASE-web.org/ISLP/PCS
Puloka, M., Budgett, S., & Pfannkuch, M. (2021). What questions do novices pose about categorical data? In: R Helenius, E Falck (Eds.), Statistics Education in the Era of Data Science Proceedings of the Satellite conference of the International Association for Statistical Education (IASE), Aug-Sept 2021, Online conference. ©2021 ISI/IASE https://iase-web.org/Conference_Proceedings.php
Ridway, J. (Ed.). (2022). Statistics for empowerment and social engagement: Teaching civic statistics to develop informed citizens. Springer. https://doi.org/10.1007/978-3-031-20748-8
Schield, M. (2007). Teaching the Social Construction of Statistics. Paper presented at the 2007 Midwest Sociological Association. See www.StatLit.org/pdf/2007SchieldMSS.pdf
Shaughnessy, J. M. (2007). Research on statistics' reasoning and learning. Second handbook of research on mathematics teaching and learning (pp. 957–1009). Greenwich, CT: Information Age Publishing, Inc., and NCTM.
Sousa, L. D., Lopes, C. E., & Fitzallen, N. (2020). Creative Insubordination in Statistics Teaching: Possibilities to Go beyond Statistical Literacy. Statistics Education Research Journal. https://doi.org/10.52041/serj.v19i1.120
Ubilla, F. (2019). Componentes del sentido estadístico en un ciclo de investigación estadística desarrollado por futuras maestras de primaria. En J. M. Marbán, M. Arce, A. Maroto, J. M. Muñoz-Escolano y Á. Alsina (Eds.), Investigación en Educación Matemática XXIII (pp. 583–592). Valladolid: SEIEM.
Ubilla, F. M., & Gorgorió, N. (2021a). Sobre cómo transitan los futuros maestros por el ciclo de investigación estadística: Orientaciones para la implementación de proyectos estadísticos. BOLEMA- Boletim de Educação Matemática, 35(71). https://doi.org/10.1590/1980-4415v35n71a24
Ubilla, F. M., & Gorgorió, N. (2021b). From a source of real data to a brief news report: Introducing first- year preservice teachers to the basic cycle of learning from data. Teaching Statistics, 43, S110–S123. https://doi.org/10.1111/test.12246.
Ubilla, F.M. & Gorgorió, N. (2022). What kinds of questions are formulated by a group of student teachers when dealing with data representations that address social issues? In S. A. Peters, L. Zapata-Cardona, F. Bonafini, & A. Fan (Eds.), Bridging the Gap: Empowering & Educating Today’s Learners in Statistics. Proceedings of the 11th International Conference on Teaching Statistics (ICOTS11 2022), Rosario, Argentina. International Association for Statistical Education. iase-web.org ©2022 ISI/IASE.
Ubilla, F.M., Vásquez, C., Rojas, F. & Gorgorió, N. (2021). Santiago – Villarrica – Barcelona: The statistical investigative cycle in primary education teacher training. Statistics Education Research Journal, 20(2). https://doi.org/10.52041/serj.v20i2.392
Watson, J., & Callingham, R. (2003). Statistical literacy: A complex hierarchical construct. Statistics Education Research Journal, 2(2), 3–46.
Weber-Stein, F., & Engel, J. (2022). The COVID-19 crisis as a challenge for the integration of statisticaland citizenship eductaion. In S. A. Peters, L. Zapata-Cardona, F. Bonafini, & A. Fan (Eds.), Bridging the Gap: Empowering & Educating Today’s Learners in Statistics. Proceedings of the 11th International Conference on Teaching Statistics (ICOTS11 2022), Rosario, Argentina. International Association for Statistical Education. iase-web.org ©2022 ISI/IASE.
Weiland, T. (2016). The importance of context in task selection. Teaching Statistics, 39(1), 20–25. https://doi.org/10.1111/test.12116
Weiland, T. (2017). Problematizing statistical literacy: An intersection of critical and statistical literacies. Educational Studies in Mathematics, 96(1), 33–47. https://doi.org/10.1007/s10649-017-9764-5
Weiland, T. (2019). Critical mathematics education and statistics education: Possibilities for transforming the school mathematics curriculum. Topics and Trends in Current Statistics Education Research (pp. 391–411). Cham: Springer.
Weiland, T., & Sandrani, A. (2022). Toward a framework for developing a critical statistical literacy. In S. A. Peters, L. Zapata-Cardona, F. Bonafini, & A. Fan (Eds.), Bridging the Gap: Empowering & Educating Today’s Learners in Statistics. Proceedings of the 11th International Conference on Teaching Statistics (ICOTS11 2022), Rosario, Argentina. International Association for Statistical Education. iase-web.org ©2022 ISI/IASE.
Wild, C. J., & Pfannkuch, M. (1999). Statistical thinking in empirical enquiry. International Statistical Review, 67(3), 223–248. https://doi.org/10.1111/j.1751-5823.1999.tb00442.x
Zapata-Cardona, L. (2018). Enseñanza de la estadística desde una perspectiva crítica. Yupana. Revista De Educación Matemática De La UNL, 10, 30–39. https://doi.org/10.14409/yu.v0i10.7695