Contributed paper list
(Monday 3rd, 10:30-12:30)
Elements of meaning and its role in the interaction with a computational program
Authors
Teresita E Terán, Mercedes Anido de López
Presenter
Abstract
This paper is part of a research study, the objective of which is to investigate the meaning of confidence intervals for first year students in the Statistics course in the Universidad Nacional de Rosario. Within the framework of Godino’s theory (1999), by means of students’ dialogues in front of the computer, we try to surmise the presence of the diverse elements of meaning – extensive, ostensive, actuating, intensive and validating – which reveal the topic comprehension. Statistical inference is one of the largest branches of Statistics and a fundamental methodological tool in the empiric sciences, in particular. It allows us to quantify our confidence in conclusions drawn from random samples, and therefore, to verify our impressions by means of calculations (Batanero, 2001); hence, the importance of an updated teaching.
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