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- Statistics education
- Pre-service Mathematics Teachers’ Statistical Reasoning About Mean
- Secondary teachers’ statistical reasoning in comparing two groups
- The challenge of developing statistical literacy, reasoning, and thinking
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Twenty-six pre-service teachers were tested using an open-ended problem where they were expected to analyze a method in finding the mean of a data. Three of their test results are selected to be analyzed. The results suggest that the pre-service teachers did not use context to develop the interpretation of mean. Therefore, this article also offers strategies to promote statistical reasoning about mean that use various contexts. Download this PDF file. APA: Kristanto, Y.
Over the past decade there has been an increasingly strong call for statisticseducation to focus more on statistical literacy, reasoning, and thinking. One of themain arguments presented is that traditional approaches to teaching statistics focuson skills, procedures, and computations, which do not lead students to reason orthink statistically. This book explores the challenge posed to educators at alllevelshow to develop the desired learning goals for students by focusing oncurrent research studies that examine the nature and development of statisticalliteracy, reasoning, and thinking. We begin this introductory chapter with anoverview of the reform movement in statistics education that has led to the focus onthese learning outcomes. Next, we offer some preliminary definitions anddistinctions for these often poorly defined and overlapping terms. We then describesome of the unique issues addressed by each chapter and conclude with somesummary comments and implications. Quantitative information is everywhere, and statistics are increasingly presentedas a way to add credibility to advertisements, arguments, or advice.
Pre-service Mathematics Teachers’ Statistical Reasoning About Mean
Reasoning about uncertainty: learning and teaching informal inferentia l reasoning Andy Zieffler and Elizabeth Fry eds. Ben-Zvi, D. The challenge of developing statistical literacy, reasoning, and thinking. Dordrecht, the Netherlands: Kluwer Academic Publishers. The theme of this issue is: New ways of interacting with data, context and chance in statistical modeling processes. Expected publication date is July
Authors: Theodosia Prodromou. The article investigates how to year-olds build informal conceptions of inferential statistics as they engage in a modelling process and build their own computer simulations with dynamic statistical software. This study proposes four primary phases of informal inferential reasoning for the students in the statistical modeling and simulation process. Findings show shifts in the conceptual structures across the four phases and point to the potential of all of these phases for fostering the development of students- robust knowledge of the logic of inference when using computer based simulations to model and investigate statistical questions. Commenced in January
I am confident that The Challenge of Developing Statistical Literacy, Reasoning, and Thinking will be seen as a classic. PrefaceOver the past decade there has.
Secondary teachers’ statistical reasoning in comparing two groups
Accompanied with ongoing calls for reform in statistics curriculum, mathematics and statistics teachers purposefully have been reconsidering the curriculum and the content taught in statistics classes. Changes made are centered around statistical inference since teachers recognize that students struggle with understanding the ideas and concepts used in statistical reasoning. Despite the efforts to change the curriculum, studies are sparse on the topic of characterizing student learning and understanding of statistical inference. Moreover, there are no tools to evaluate students' statistical reasoning in a coherent way.
Original language, English. Editors, D.
The challenge of developing statistical literacy, reasoning, and thinking
Skip to search form Skip to main content You are currently offline. Some features of the site may not work correctly. DOI: Ben-Zvi and J. Ben-Zvi , J. Garfield Published Computer Science. View via Publisher.
Statistics education is the practice of teaching and learning of statistics , along with the associated scholarly research. Statistics is both a formal science and a practical theory of scientific inquiry , and both aspects are considered in statistics education. Education in statistics has similar concerns as does education in other mathematical sciences , like logic , mathematics , and computer science. At the same time, statistics is concerned with evidence-based reasoning, particularly with the analysis of data. Therefore, education in statistics has strong similarities to education in empirical disciplines like psychology and chemistry , in which education is closely tied to "hands-on" experimentation. Mathematicians and statisticians often work in a department of mathematical sciences particularly at colleges and small universities. Statistics courses have been sometimes taught by non-statisticians, against the recommendations of some professional organizations of statisticians and of mathematicians.