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Sobre el proceso de instrumentalizaciňn de una herramienta computacional
Unformatted Document Text:  taken into account. The analysis that the students carried out with the data obtained in EXCEL was made from the calculation of the average rate of the function, as shown in the following dialogues: Iris: It increases, but is diminishing because in the last interval of 100 meters it increases 10.Why does it decrease? Alexis: Listen, if here there are 10 and then if we add from 400 to 500 it is 9. But why? Wouldn’t you think that from a higher point the distance of visibility would be greater? After exploring again the table and the graph elaborated in Excel they concluded that the distance of visibility increases with the increase in height but the function does not follow a linear behavior. Conclusions An important research question in this study was “What is the instrumentation process followed by students to incorporate a technological tool in their problem solving approaches?” Results in this study indicate that students’ first approaches to the task, based on paper and pencil work, involved the use of isolated knowledge and basically focused their attention to the calculations required in the problem; however, the use of the tool, later, helped them analyze the problem globally and recognize that the behavior of the representative function was different from what they had assumed initially. In this process, it was evident that students went through a cognitive reorganization in which the use of the tool played a fundamental role to not only to visualize the problem as a whole, but also to analyze the same task from diverse perspectives including the examination o cases not included in the statement of the task. Bibliography Dorfler, W. (1993). Computer use and views of the mind. In C. Keitel and K. Ruthven (Eds.), Learning from Computers: Mathematics Education and Technology, 121, 159-186. Fey T. (1995). Concepts in Algebra’ A technological approach. The University of Maryland, The Pennsylvania State University. Janson Publications. Guin and Trouche (1999). The complex Process of Converting Tools into Mathematical Instruments: The caser of calculators. International journal of computers for Mathematical Learning, 3, 195-227. Pea, R. (1987). Cognitive Technologies for Mathematics Education. Cognitive Science and Mathematics Education. Lawrence Erlbaum Associates Publishers. Hillsdale, New Jersey. Santos, M. et. al. (2003). Students’use of Technology in Mathematical Problem Solving: Transforming Technological artifacts into mathematical tools. Proceedings of the 2003 joint Meeting of the PME 27 and PMENA 25, 4, 119-126. Thurston, W. (1994). On proof and progress in Mathematics. In Bulletin of the American Mathematical Society, 30(2), 61-177.

Authors: García, Martha.
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taken into account. The analysis that the students carried out with the data obtained in EXCEL
was made from the calculation of the average rate of the function, as shown in the following
dialogues:
Iris:
It increases, but is diminishing because in the last interval of 100 meters it increases
10.Why does it decrease?
Alexis: Listen, if here there are 10 and then if we add from 400 to 500 it is 9. But why?
Wouldn’t you think that from a higher point the distance of visibility would be
greater?
After exploring again the table and the graph elaborated in Excel they concluded that the
distance of visibility increases with the increase in height but the function does not follow a linear
behavior.
Conclusions
An important research question in this study was “What is the instrumentation process
followed by students to incorporate a technological tool in their problem solving approaches?”
Results in this study indicate that students’ first approaches to the task, based on paper and pencil
work, involved the use of isolated knowledge and basically focused their attention to the
calculations required in the problem; however, the use of the tool, later, helped them analyze the
problem globally and recognize that the behavior of the representative function was different
from what they had assumed initially. In this process, it was evident that students went through a
cognitive reorganization in which the use of the tool played a fundamental role to not only to
visualize the problem as a whole, but also to analyze the same task from diverse perspectives
including the examination o cases not included in the statement of the task.
Bibliography
Dorfler, W. (1993). Computer use and views of the mind. In C. Keitel and K. Ruthven (Eds.),
Learning from Computers: Mathematics Education and Technology, 121, 159-186.
Fey T. (1995). Concepts in Algebra’ A technological approach. The University of Maryland, The
Pennsylvania State University. Janson Publications.
Guin and Trouche (1999). The complex Process of Converting Tools into Mathematical
Instruments: The caser of calculators. International journal of computers for Mathematical
Learning,
3, 195-227.
Pea, R. (1987). Cognitive Technologies for Mathematics Education. Cognitive Science and
Mathematics Education. Lawrence Erlbaum Associates Publishers. Hillsdale, New Jersey.
Santos, M. et. al. (2003). Students’use of Technology in Mathematical Problem Solving:
Transforming Technological artifacts into mathematical tools. Proceedings of the 2003 joint
Meeting of the PME 27 and PMENA 25,
4, 119-126.
Thurston, W. (1994). On proof and progress in Mathematics. In Bulletin of the American
Mathematical Society, 30(2), 61-177.


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