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Seems to begin guiding us to arrive to an abstraction

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seems to beginguiding us to arrive to an abstraction, in the case of a concept tothe solution in the case of a problem. Visualization is fundamental so that theimagination begins to work, since the visual representations allow, sometimes, toabstract a concept more efficiently that its verbal description. (Carrera, E., 1999).In the visualization the computer is shown as the ideal assistant. That is why, itshould not be thoughtlike a simple tool, butrather as a powerful auxiliary inseveralstages of the problem solution.5.A proposalAll these considerations have taken us to write a little book that is in printing. Wehave been motivated to write it by the belief that most introductory texts do not69
Elena T. Fernández de Carreraexplain adequately the concepts that underlie the whole subject of statistics, andin many cases they are divorced from the reality. This book should provide andunderstanding of the principles and concepts that underlie indata analysis andthe interpretation of results. Real data have throughout been used in it, mostlyfrom published papers, and we have tried data that areinteresting in their ownright. This book should be continued later with the inferential part, although thereare already some very good ones.6.The assessmentIt is evident that this teaching approach also requires challenges in the wayofevaluating. It can no longer stay in the classic form of repetitive exercises andquestionnaires with simple answers like ‘yes or no’ or ‘right or wrong’. It requiresquestions where the student reveal to understand the main statistical concepts ofthe problem, the key ideas, the big ideas, to interpret a problem and to choose theappropriate statistical toolsthat are more adequate to the data. It also requiresthat anybody can read the paper, understand it and why notcarry out criticalobservations of the same one.AcknowledgementThe author wishes to thank specially Professor Liliana E. Contini for her helpfulfor the redaction this manuscript.ReferencesAltman, D (1997).Practical Statistics form medical research. Chapman and Hall.London.Batanero, C.; Estepa, A. Y Godino, J. (1992). An·lisis exploratorio de datos: Susposibilidades en la enseÒanza secundaria.Suma, 9, p 25-31Burrill, G. (1997). Curriculum issues in United States Schools. Papers onStatistical Education. IASE. Swinburne University of Technology. Australia. p15-26.Carrera, E. (1999). La educaciÛn a distancia y la articulaciûn enseòanza mediauniversitaria. El caso de la Educaciûn Matematica. Acerca de la distancia.Rueda. Eudecor SRL. Argentina.70
Elena T. Fernández de CarreraGal, I. and Gardfiel, J. (1997). Curricular goals and assessment challenges inStatistics Education.The Assessment Challenges in Statistics Education.IASE. The International Statistical Institute. The Netherlands. p 1 - 13.

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Term
Winter
Professor
455454
Tags
Statistics, cognitive competence, James Nicholson, Gerry Mulhern, Joseph M Wisenbaker

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