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: <em>i</em>) the arithmetic mean of the population, <em>ii</em>) the proportion of a population, <em>iii</em>) the difference between two arithmetic means, and <em>iv</em>) 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.
Highlights
In the Institutional Development Plan 2017-2021 and the Educational Model 2030 of the University of Sonora, it is mentioned that the current context presents the university with the opportunity to strengthen educational programs of a technological nature, and link them to the productive sector through cooperative schemes and under new modalities and teaching options, which use the new information and communication technologies in open and distance education modalities [1, 2].At the University of Sonora, several bachelor’s degrees have inferential statistics courses that include the subject of hypothesis testing
In this stage four of the "Statistics-to-Go" project we have designed four Digital Learning Tools (DLTs) to test hypotheses of hypothetical values of parameters of a normal distribution using a sample randomly selected from a population of interest
These digital learning tools are added to those previously designed in the previous stages of the project, covering the descriptive and inferential statistics that are taught in the statistics courses at the University of Sonora
Summary
In the Institutional Development Plan 2017-2021 and the Educational Model 2030 of the University of Sonora, it is mentioned that the current context presents the university with the opportunity to strengthen educational programs of a technological nature, and link them to the productive sector through cooperative schemes and under new modalities and teaching options, which use the new information and communication technologies in open and distance education modalities [1, 2]. In the previous stages we designed DLTs for mobile devices using Android operating systems, in order to generate diagrams like bar charts, histograms, pie charts, frequency polygons, and scatterplots; compute measures such as range, the arithmetic mean, median, mode, percentiles, standard deviation, coefficient of variation, coefficients of asymmetry and of curtosis of Fisher; compute confidence intervals for the arithmetic mean of population, proportion of a population, the difference among two arithmetic means, the difference among two proportions, and the variance and the standard deviation of the population [5, 6] In this fourth stage, we designed four DLTs for inferential statistics.
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