TaskTimeTracker: A tool for temporal analysis of the problem solving process

Autores/as

DOI:

https://doi.org/10.7203/ietem.1.16280

Palabras clave:

Problem Solving Process, Time Activity Diagram, Software Tools

Resumen

The analysis of the problem solving process in mathematics can shed light on the learning process. However, the analysis of this process is a difficult task that has to face the complexity and non linearity of the process itself. In this work we present the TTT software tool aimed to facilitate the registration and graphical representation of the steps that are followed by a group of students during the resolution of a problem, together with the time extension of these steps. This tool is based upon, and extends, the representation schemes presented by Arleback(2009), and can be applied to any problem resolution process (either mathematical or not) that can be divided into phases or categories along time.

Descargas

Los datos de descargas todavía no están disponibles.

Citas

Albarracın, L., Arleback, J., Civil, E., & Gorgorio, N. (2019). Extending modelling activity diagrams as a tool to characterise

mathematical modelling processes. The Mathematics

Enthusiast, 16(1), 211–230.

Arleback, J. B. (2009). On the use of realistic fermi problems

in introducing mathematical modelling in upper

secondary mathematics. The Mathematics Enthusiast,

(3).

Berry, J., & Sahlberg, P. (2006). Accountability affects the use

of small group learning in school mathematics. Nordic

Studies in Mathematics Education, 11(1), 5–31.

Borromeo Ferri, R. (2006). Theoretical and empirical differentiations of phases in the modelling process. ZDM,

(2), 86–95.

Brandell, J. R. (2010). Theory & practice in clinical social

work. Sage.

Bransford, J. D., & Stein, B. S. (1984). The ideal problem

solver. a guide for improving thinking, learning, and

creativity. Freeman.

Brown, J. P. (2003). An insight into student understanding of

functions in a graphing calculator environment [Master’s

thesis]. Department of Education, The University

of Melbourne.

Gillies, R. M. (2003). Structuring cooperative group work

in classrooms. International Journal of Educational

Research, 39(1), 35 - 49.

Goos, M., & Galbraith, P. (1996). Do it this way! metacognitive

strategies in collaborative mathematical problem

solving. Educational studies in mathematics, 30(3),

–260.

Pearl, J. (1984). Heuristics: intelligent search strategies for

computer problem solving. Addison-Wesley Pub. Co.,

Inc., Reading, MA.

Polya, G. (1945). How to solve it; a new aspect of mathematical

method. US: Princeton University Press.

Puig Espinosa, L. (1996). Elementos de resoluci´on problemas.

Comares.

Reas, C., & Fry, B. (2007). Processing: A programming

handbook for visual designers and artists. MIT Press.

Schoenfeld, A. H. (1985). Mathematical problem solving.

Academic Press: Orlando, FL.

Schoenfeld, A. H. (1992). On paradigms and methods: What

do you do when the ones you know don’t do what

you want them to? issues in the analysis of data in

the form of videotapes. Journal of the Learning Sciences, 2(2), 179-214. doi: Versi´on 0.1, August 27,

1207/s15327809jls0202_3

Scott, N., & Stacey, K. (2000). Orientation to deep structure

when trying examples: a key to successful problem

solving. Hergue.

Vygotsky, L. S. (1980). Mind in society: The development

of higher psychological processes. Harvard university

press.

Wilson, J. W., Fernandez, M. L., & Hadaway, N. (1993).

Mathematical problem solving. Research ideas for the

classroom: High school mathematics, 57, 78.

Descargas

Publicado

2020-03-27

Cómo citar

Pla-Castells, M., & García-Fernández, I. (2020). TaskTimeTracker: A tool for temporal analysis of the problem solving process. Investigación En Entornos Tecnológicos En Educación Matemática, (1). https://doi.org/10.7203/ietem.1.16280
Metrics
Vistas/Descargas
  • Resumen
    539
  • PDF
    341

Número

Sección

Artículos

Métrica