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Jennifer Hill; George Perrett; Stacey A. Hancock; Le Win; Yoav Bergner – Statistics Education Research Journal, 2024
Most current statistics courses include some instruction relevant to causal inference. Whether this instruction is incorporated as material on randomized experiments or as an interpretation of associations measured by correlation or regression coefficients, the way in which this material is presented may have important implications for…
Descriptors: Statistics Education, Causal Models, Statistical Inference, College Students
Ayhan Kursat Erbas; Mehmet Fatih Ocal – International Journal of Mathematical Education in Science and Technology, 2024
The purpose of this study was twofold. First, to explore middle and high school students' intuitively-based (mis)conceptions in probability, particularly availability and representativeness heuristics. Second, to investigate teachers' awareness of these intuitively-based (mis)conceptions and the effectiveness of their instructional practices to…
Descriptors: Misconceptions, Heuristics, Middle School Students, High School Students
Udi Alter; Carmen Dang; Zachary J. Kunicki; Alyssa Counsell – Teaching Statistics: An International Journal for Teachers, 2024
The biggest difference in statistical training from previous decades is the increased use of software. However, little research examines how software impacts learning statistics. Assessing the value of software to statistical learning demands appropriate, valid, and reliable measures. The present study expands the arsenal of tools by reporting on…
Descriptors: Statistics Education, Student Attitudes, Course Descriptions, Social Sciences
Identifying the Content, Lesson Structure, and Data Use within Pre-Collegiate Data Science Curricula
Lee, Victor R.; Delaney, Victoria – Journal of Science Education and Technology, 2022
As data become more available and integrated into daily life, there has been growing interest in developing data science curricula for youth in conjunction with scientific practices and classroom technologies. However, the "what" and "how" of data science in pre-collegiate education have not yet reached consensus. This paper…
Descriptors: Data, Data Analysis, Curriculum Development, Educational Practices
CadwalladerOlsker, Todd – Mathematics Teacher, 2019
Students studying statistics often misunderstand what statistics represent. Some of the most well-known misunderstandings of statistics revolve around null hypothesis significance testing. One pervasive misunderstanding is that the calculated p-value represents the probability that the null hypothesis is true, and that if p < 0.05, there is…
Descriptors: Statistics, Mathematics Education, Misconceptions, Hypothesis Testing
Jiayi Zhang; Kirk Vanacore; Ryan S. Baker; Nabil Ch; Caitlin Mills; Owen Henkel – International Educational Data Mining Society, 2025
Mastery learning -- requiring students to achieve proficiency in a topic before advancing -- is a well-established and effective teaching method. Digital learning systems support this approach by personalizing content sequences, enabling students to focus on practicing topics they have not yet mastered. To achieve this, digital learning systems…
Descriptors: Elementary School Students, Junior High School Students, Mastery Learning, Teaching Methods
Matthias Brandl – International Association for Development of the Information Society, 2025
Modern learning and teaching theories often include contextualization as a central aspect. Instead of outdated atomistic thinking, scaffolding structures are offered that, in varying degrees, address different contexts. Therefore, a teaching strategy using aspects of Narrative Didactics seems to be suitable for the creation of thematic and…
Descriptors: Context Effect, Learning Processes, Narration, Teaching Methods
Lesser, Lawrence M.; Pearl, Dennis K. – Teaching Statistics: An International Journal for Teachers, 2021
Jokes, cartoons, songs, and games can help engage students in discussion and learning key concepts about hypothesis testing.
Descriptors: Statistics Education, Hypothesis Testing, Teaching Methods, Humor
National Forum on Education Statistics, 2024
The "Forum Guide to Data Literacy" is designed to help education agencies understand and build data literacy skills among various stakeholder groups such as administrators, teachers, students, parents and other caregivers, school board members, legislators, and community groups. This resource defines and discusses the importance of data…
Descriptors: Public Agencies, Statistics, Data Analysis, Statistics Education
Zigerell, L. J. – Journal of Political Science Education, 2023
Data visualization is an important tool for communicating research results. This manuscript discusses a method that instructors can use to introduce political science students to visualizations and discusses strategies that instructors can share with students about how to create high-quality visualizations. These strategies can help students make…
Descriptors: Teaching Methods, Data Analysis, Visual Aids, Statistics Education
Nilsson, Per – Statistics Education Research Journal, 2023
A design experiment where students in Grade 5 (11-12 years old) play the Color Run game constitutes the context for investigating how students can be introduced to informal hypothesis testing. The result outlines a three-step hypothetical learning trajectory on informal hypothesis testing. In the first step, students came to favor sample space…
Descriptors: Statistics Education, Teaching Methods, Educational Games, Grade 5
Meyer, Joerg – Teaching Statistics: An International Journal for Teachers, 2020
Some situations are presented with perplexing properties, which become clearer by looking at contingency tables. This in turn leads to problems that can be solved using conditional frequencies and thus leading to the Bayes formula with natural frequencies or probabilities.
Descriptors: Bayesian Statistics, Teaching Methods, Probability, Mathematics Instruction
Lu Ye; Yu Jin – Journal of Statistics and Data Science Education, 2024
Statistics is interdisciplinary and the practical application of statistical methods in various areas prompts undergraduates to learn more about statistics and better understand complex methods. This article presents a classroom teaching design that guides students in reading COVID-19 literature. The activities presented encourage peer-peer and…
Descriptors: Reading Instruction, Statistics Education, COVID-19, Pandemics
Meng Li – Mathematics Education Research Group of Australasia, 2024
The profound advancements in technology have rendered novel forms of data and data visualisation increasingly accessible to individuals within society, thereby influencing daily decision-making processes. To address this change, this study sets out to review recent research on data-driven inquiries at the K-12 level from two perspectives:…
Descriptors: Visual Aids, Data Analysis, Mathematics Instruction, Statistics Education
Amelia McNamara – Journal of Statistics and Data Science Education, 2024
When incorporating programming into a statistics course, there are many pedagogical considerations. In R, one consideration is the particular R syntax used. This article reports on a head-to-head comparison of a pair of introductory statistics labs, one conducted in the formula syntax, the other in tidyverse. Pre- and post-surveys show minimal…
Descriptors: Teaching Methods, Introductory Courses, Statistics Education, Programming Languages

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