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

Dublin Core

Title

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

Subject

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

Description

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.

Creator

Tapia Moreno, Francisco Javier
Villa-Martinez, Hector Antonio

Source

International Journal of Interactive Mobile Technologies (iJIM); Vol. 13 No. 06 (2019); pp. 15-26
1865-7923

Publisher

International Association of Online Engineering (IAOE), Vienna, Austria

Date

2019-06-20

Rights

Copyright (c) 2019 Francisco Javier Tapia Moreno, Hector Antonio Villa-Martinez

Relation

Format

application/pdf

Language

eng

Type

info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article

Identifier

Citation

Tapia Moreno, Francisco Javier and Villa-Martinez, Hector Antonio, Digital Learning Tools for Mobile Devices for Accomplish Hypothesis Testing of Statistical Parameters, International Association of Online Engineering (IAOE), Vienna, Austria, 2019, accessed November 23, 2024, https://igi.indrastra.com/items/show/1442

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