Digital Learning Tools for Mobile Devices for Accomplish Hypothesis Testing of Statistical Parameters

Authors

  • Francisco Javier Tapia Moreno Universidad de Sonora
  • Hector Antonio Villa-Martinez Universidad de Sonora.

DOI:

https://doi.org/10.3991/ijim.v13i06.10436

Keywords:

digital learning tools, u-learning, m-learning, hypothesis test, statistics.

Abstract


Technological changes have been associated with the evolution of computer and telecommunications systems. These changes have resulted in a rethinking of teaching and learning methods in the new digitalized environment at all educational levels. This rethinking motivates some teachers to design new digital tools that support students in their learning process, offering them an easier and more entertaining way to obtain knowledge. The digital learning tools are software and informatics programs that make everyday activities easier for students. We have designed four digital learning tools for the learning of inferential statistics that allow college students to perform hypothesis tests for: i) the arithmetic mean of the population, ii) the proportion of a population, iii) the difference between two arithmetic means, and iv) the difference between two proportions. These digital learning tools are products from the project “Statistics-to-Go” that is being developed at the University of Sonora. This project is now in its fourth stage.

Author Biography

Francisco Javier Tapia Moreno, Universidad de Sonora

Departamento de Matemáticas Maestro Investigador de Tiempo Completo

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Published

2019-06-20

How to Cite

Tapia Moreno, F. J., & Villa-Martinez, H. A. (2019). Digital Learning Tools for Mobile Devices for Accomplish Hypothesis Testing of Statistical Parameters. International Journal of Interactive Mobile Technologies (iJIM), 13(06), pp. 15–26. https://doi.org/10.3991/ijim.v13i06.10436

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Section

Papers