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Turning metaphor on its head: a “target-to-source transformation” approach in statistics education [PDF]
Many practical applications of metaphors are based on the idea that they are static TARGET IS SOURCE structures that support unidirectional meaning transfer for various purposes.
Dennis Tay
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Play vs. P-Values : Using distribution overlap as a tool to teach significant differences between groups [PDF]
Mean comparisons can be an abstract concept for students when they first encounter it in the classroom. Students must grasp not only the notions underlying the comparison but also the concepts surrounding inference.
Fournier, Bernard, Harding, Bradley
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Inferential Reasoning of Secondary School Mathematics Teachers on the Chi-Square Statistic
Statistics education has investigated how to promote formal inferential reasoning from informal inferential reasoning. Nevertheless, there is still a need for proposals that explore and progressively develop inferential reasoning of students and teachers.
Jesús Guadalupe Lugo-Armenta +1 more
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Statistical Literacy—Misuse of Statistics and Its Consequences
Although statistical literacy has become a key competence in today’s data-driven society, it is usually not a part of statistics education. To address this issue, we propose an innovative concept for a conference-like seminar on the topic of statistical ...
Arne Johannssen +3 more
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This study investigates the correlates of statistics anxiety. Considering that statistics anxiety and spatial anxiety have been separately correlated with related constructs (e.g., mathematics anxiety, academic performance, etc.), the possibility that ...
Rose-Marie Gibeau +9 more
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Teaching Style and Attitudes: A Comparison of Two Collegiate Introductory Statistics Classes
Many students who enroll in introductory statistics courses do not have positive attitudes about the subject. A 2012 wide-ranging study by Schau and Emmioglu showed that student attitudes do not tend to improve after completing an introductory statistics
Summer Bateiha +2 more
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A Model of Scientific Data Reasoning
Data reasoning is an essential component of scientific reasoning, as a component of evidence evaluation. In this paper, we outline a model of scientific data reasoning that describes how data sensemaking underlies data reasoning.
Amy M. Masnick, Bradley J. Morris
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In this paper, we discuss how critical mathematics education (CME) and actor–network theory (ANT) come together in a mathematics teacher education course that focuses on the thematic context of climate change to study statistics.
Magnus Ödmo +2 more
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A Case Study of a Lesson on the Sample Mean for Prospective Mathematics Teachers
In statistical inference, many students have a difficult time learning the sample mean, sampling distribution, and the central limit theorem, even though these are key concepts in statistics.
Somin Kim
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In this study we assessed the usefulness of a multifaceted teaching framework in an advanced statistics course. We sought to expand on past findings by using this framework to assess changes in anxiety and self-efficacy, and we collected focus group ...
April L. McGrath +4 more
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