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Showing 2 results for Statistics Education
Dr Abolfazl Rafiepour, Volume 26, Issue 1 (12-2021)
Abstract
Nowadays, the need to pay attention to teaching statistics at all levels from elementary school to university has become more apparent. One of the goals of the various educational systems, which is reflected in their upstream documents, is to have citizens who are equipped with statistical literacy. In this regard, many statistical organizations and institutions have mentioned statistics education as one of their special goals and missions. School math textbooks in Iran also have sections devoted to discussions of statistics and probability. An examination of the role of statistics in Iran school Mathematics textbooks shows that there is good progress in including statistics and probability concepts in textbooks, but it is still far from the ideal. In the present article, after a brief discussion on the necessity of paying attention to statistics education in the school mathematics curriculum, the historical course of presenting statistics education will be reviewed. Then, the challenges in introducing the topics of teaching statistics and probability in the school mathematics curriculum are illustrated, and in the end, two new approaches (attention to big-data, use of new technologies in stimulating and modeling real-world phenomena) will be introduced in more detail and with examples.
Anahita Komeijani, Ebrahim Reyhani, Zahra Rahimi, Ehsan Bahrami Samani, Volume 28, Issue 1 (9-2023)
Abstract
The importance of statistics and its education in today’s world, which is full of information and data, is not hidden from
anyone. Statistical thinking is the main core of correct understanding of statistical concepts, data analysis and interpretation
of phenomena. With the aim of achieving a comprehensive definition of statistical thinking and determining its elements,
the present research has studied the researches of the last thirty years. This descriptive research has been carried out in a
qualitative metacomposite
method to provide an insight into the totality of existing studies. Based on the entry criteria,
123 researches were identified between 1990 and 2022, and finally, after screening, 22 researches were selected for detailed
review and analysis. According to the present metacomposite findings, the elements of statistical thinking are: 1) Being dataoriented:
paying attention to data, identifying the need for data, collecting and considering data, different representations of
data, and methods of converting them to each other. 2) Variability: Considering permanent changes in all phenomena. 3)
Statistical inference: paying attention to the types of sampling, reasoning and inference using statistical models, including the
use of statistical charts and generalizing the results from the sample to the population. [4) Analysis of the statistical context:
combining the statistical problem with the context.
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