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Allison Davidson – Journal of Statistics and Data Science Education, 2024
An investigative project can engage the learner in all aspects of a statistical investigation, including developing a question or issue of interest, gathering needed information, exploring the data, and communicating the results. This article summarizes the available literature regarding the implementation of investigative projects, including the…
Descriptors: Student Projects, Active Learning, Statistics Education, Educational Benefits
Schneiter, Kady; Hadfield, KimberLeigh Felix; Clements, Jenny Lee – Journal of Statistics and Data Science Education, 2023
Being a teacher or a student in a class with a large enrollment can be intimidating. Often, teachers view comforts that are common to small classes as unattainable in a larger class, including knowing students' names, using active learning, employing group work, and creating group discussion. Students in large classes may find that the class size…
Descriptors: Large Group Instruction, Statistics Education, Introductory Courses, Lecture Method
Patrick Kuok Kun Chu – Teaching Statistics: An International Journal for Teachers, 2025
Statistics knowledge, literacy, and skills are vital to undergraduates' academic and professional careers. Students' attitudes toward statistics play a vital role in their understanding of the importance of statistics. Therefore, it is important to examine their attitude toward statistics. This study investigated the attitude of 153 business…
Descriptors: Undergraduate Students, Student Attitudes, Business Administration Education, Statistics
Byran J. Smucker; Nathaniel T. Stevens; Jacqueline Asscher; Peter Goos – Journal of Statistics and Data Science Education, 2023
The design and analysis of experiments (DOE) has historically been an important part of an education in statistics, and with the increasing complexity of modern production processes and the advent of large-scale online experiments, it continues to be highly relevant. In this article, we provide an extensive review of the literature on DOE…
Descriptors: Statistics Education, Data Science, Experiments, Teaching Methods
Kevin L. Sager; Miho Aoki; Scott D. Goddard – Innovative Higher Education, 2024
We tested the educational effectiveness of an inquiry-guided approach (Lee et al., 2004; Prince & Felder in "Journal of Engineering Education, 95," 123-138, 2006) to teaching a possible outcome of statistical hypothesis testing known as type 1 error. The approach consisted of showing participants an animated space exploration video.…
Descriptors: Inquiry, Statistics Education, Active Learning, Space Exploration
Khachatryan, Davit – Journal of Statistics and Data Science Education, 2023
According to decades of research in educational psychology, learning is a social process that is enhanced when it happens in contexts that are familiar and relevant. But because of the skyrocketing popularity of data science, today we often work with students coming from an abundance of academic concentrations, professional, and personal…
Descriptors: Statistics Education, Teaching Methods, Visual Aids, Music
Alaa Althubaiti; Suha M. Althubaiti – SAGE Open, 2024
The flipped classroom (FC) is a pedagogical model with an active learning concept and a hybrid course design that reverses the typical lecture process. Given the widespread use of online delivery methods, there is a need to explore the FC in delivering statistics courses. This study employs a prospective quasi-experimental study design to evaluate…
Descriptors: Flipped Classroom, Statistics Education, Data Analysis, Computer Software
Babier, Aaron; Fernandes, Craig; Zhu, Ian Yihang – INFORMS Transactions on Education, 2023
In this paper, we describe a course project in which teams of undergraduate students propose and execute an end-to-end analytics project to solve a real-world problem. The project challenges students to implement machine learning, optimization, simulation, or a combination of these three techniques on real-world data that they collect. A…
Descriptors: Undergraduate Students, Student Projects, Data Analysis, Problem Solving
Victoria Woodard – Journal of Statistics and Data Science Education, 2023
In many collegiate level statistics courses, the focus of the learning outcomes is often on the analysis of data after it has been collected. Students are provided with clean data sets from previous studies to practice statistical analysis, but receive little to no application as to the amount of time and effort that goes in to collecting good…
Descriptors: Research Design, Data Collection, Statistics Education, Active Learning
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
Nehal J. Shukla; Kristin Lilly; Ben Kamau – International Journal of Education in Mathematics, Science and Technology, 2024
High-impact practices include many options to help increase student learning, and project-based learning (PBL) is one such method. In this study, we look at the effect of PBL activities embedded in the content for introductory level mathematics and statistics courses across a semester. A pre-test and post-test are used to measure student learning,…
Descriptors: Active Learning, Student Projects, Introductory Courses, Statistics Education
Penny M. Rowe; James Bernhard; Jacob Price; Anoushka Adhav; Danielle Dolan; Anna Van Boven; Lea Fortmann; Michael Town; Steven Neshyba – Journal of Geoscience Education, 2025
Climate change is a major concern to undergraduate students. Understanding climate change relies on an understanding of polar regions. However, courses on polar regions are rare at undergraduate institutions. Polar ENgagement through GUided INquiry (PENGUIN) modules were designed to give students experience with polar research in a variety of…
Descriptors: Statistics Education, Inquiry, Active Learning, Undergraduate Students
Catherine Pressimone Beckowski; Benjamin M. Torsney – Journal of Postsecondary Student Success, 2025
More college students from diverse backgrounds and disciplines are enrolling in introductory statistics courses. In these courses, active learning, collaborative projects, and relatable content can help to support student learning, belonging, and engagement. In this study, we examined the effect of student-perceived peer, faculty, and classroom…
Descriptors: Undergraduate Students, Statistics Education, Student Diversity, Active Learning
Austerschmidt, Kim L.; Kerkhoff, Denise; Bebermeier, Sarah; Hagemann, Anne – Psychology Teaching Review, 2021
Statistics courses are challenging for many psychology students. We designed a 'Painting and Puzzles Exercise Book for Statistics' for first year psychology undergraduates, to repeat and deepen the course content and get prepared for the exam. We describe the development and characteristics of the book and report a longitudinal evaluation study.…
Descriptors: Instructional Material Evaluation, Statistics Education, Psychology, College Freshmen
Pyott, Laura – Journal of Statistics and Data Science Education, 2021
Understanding the abstract principles of statistical experimental design can challenge undergraduate students, especially when learned in a lecture setting. This article presents a concrete and easily replicated example of experimental design principles in action through a hands-on learning activity for students enrolled in an experimental design…
Descriptors: Statistics Education, Research Design, Undergraduate Students, Active Learning