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Showing 1 to 15 of 17 results Save | Export
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Jon-Paul Paolino – Teaching Statistics: An International Journal for Teachers, 2024
This article presents a novel approach to introducing principal component analysis (PCA), using summary tables and descriptive statistics. Given its applicability across a variety of academic disciplines, this topic offers abundant opportunity for class discussion and activities. However, teaching PCA in an introductory class can be challenging…
Descriptors: Statistics Education, Factor Analysis, Teaching Methods, Introductory Courses
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Di Iorio, Jacopo; Vantini, Simone – Journal of Statistics and Data Science Education, 2021
In this article, we discuss our attempt to teach applied statistics techniques typically taught in advanced courses, such as clustering and principal component analysis, to a non-mathematical educated audience. Considering the negative attitude and inclination toward mathematical disciplines of our students we introduce them to our topics using…
Descriptors: Multivariate Analysis, Gamification, Statistics Education, Video Games
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Murray, Lori L.; Wilson, John G. – Decision Sciences Journal of Innovative Education, 2021
Summary statistics and data visualizations are often used to explore data and draw preliminary conclusions. Although valuable, these tools do not always reveal the underlying patterns and trends in the data and can sometimes be misleading. We describe an approach for teaching the need for more advanced statistical analysis using multiple linear…
Descriptors: Statistics Education, Teaching Methods, Multiple Regression Analysis, Multivariate Analysis
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Qing Wang; Xizhen Cai – Journal of Statistics and Data Science Education, 2024
Support vector classifiers are one of the most popular linear classification techniques for binary classification. Different from some commonly seen model fitting criteria in statistics, such as the ordinary least squares criterion and the maximum likelihood method, its algorithm depends on an optimization problem under constraints, which is…
Descriptors: Active Learning, Class Activities, Classification, Artificial Intelligence
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Rozenszajn, Ronit; Kavod, Galia Zer; Machluf, Yossy – International Journal of Science Education, 2021
The Repertory Grid Technique (RGT) is a qualitative method, based on the Personal Construct Psychology (PCP) theory, which provides a powerful tool to elicit tacit personal construction systems, with minimal intervention and interpretation. Although the contributory potential of the RGT as a cognitive research tool in science education has been…
Descriptors: Cognitive Structures, Psychology, Theories, Science Education
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Peterson, Anna D.; Ziegler, Laura – Journal of Statistics and Data Science Education, 2021
We present an innovative activity that uses data about LEGO sets to help students self-discover multiple linear regressions. Students are guided to predict the price of a LEGO set posted on Amazon.com (Amazon price) using LEGO characteristics such as the number of pieces, the theme (i.e., product line), and the general size of the pieces. By…
Descriptors: Toys, Statistics Education, Teaching Methods, Regression (Statistics)
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Curley, Brenna; Peterson, Anna – Journal of Statistics and Data Science Education, 2022
In this article, we outline several activities revolving around soccer players who participated in the 2018 FIFA World Cup and 2019 FIFA Women's World Cup. Classroom activities are described from different perspectives, useful for a range of different statistics courses. In a first semester probability theory course, students investigate the…
Descriptors: Team Sports, Competition, Teaching Methods, Data Analysis
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Cai, Xizhen; Wang, Qing – Journal of Statistics Education, 2020
To incorporate active learning and cooperative teamwork in statistics classroom, this article introduces a creative three-dimensional educational tool and an in-class activity designed for introducing the topic of agglomerative hierarchical clustering. The educational tool consists of a simple bulletin board and color pushpins (it can also be…
Descriptors: Active Learning, Class Activities, Teaching Methods, Statistics Education
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Adams, Bryan; Baller, Daniel; Jonas, Bryan; Joseph, Anny-Claude; Cummiskey, Kevin – Journal of Statistics and Data Science Education, 2021
Since the publishing of Nolan and Temple Lang's "Computing in the Statistics Curriculum" in 2010, the American Statistical Association issued new recommendations in the revised GAISE college report. To reflect modern practice and technologies, they emphasize giving students experience with multivariable thinking. Students develop…
Descriptors: Multivariate Analysis, Statistics Education, Teaching Methods, Thinking Skills
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Antonelli, Tomás M.; Olivieri, Alejandro C. – Journal of Chemical Education, 2020
During a short chemometrics course in the seventh semester of the chemistry undergraduate program, students receive a brief theoretical introduction to multivariate calibration, focused on partial least-squares regression as the most commonly employed data processing tool. The theory is complemented with the use of MVC1_R, an easy-to-use software…
Descriptors: Advanced Students, Undergraduate Students, Chemistry, Science Instruction
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Perez-Arribas, Luis Vicente; Leon-González, María Eugenia; Rosales-Conrado, Noelia – Journal of Chemical Education, 2017
With the final objective of using computational and chemometrics tools in the chemistry studies, this paper shows the methodology and interpretation of the Principal Component Analysis (PCA) using pollution data from different cities. This paper describes how students can obtain data on air quality and process such data for additional information…
Descriptors: Science Instruction, Chemistry, Teaching Methods, Computer Assisted Instruction
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Sorensen-Unruh, Clarissa – Journal of Chemical Education, 2017
This Communication summarizes one of the invited papers to the Select 2016 BCCE Presentations ACS CHED Committee on Computers in Chemical Education online ConfChem held from October 30 to November 22, 2016. The ConfChem paper (included within Supporting Information) focuses on the results of one instructor's incorporation of social media into her…
Descriptors: Chemistry, Computer Uses in Education, Conferences (Gatherings), Teaching Methods
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Pell, Tony; Hargreaves, Linda – Cambridge Journal of Education, 2011
Cluster analysis has been applied to quantitative data in educational research over several decades and has been a feature of the Maurice Galton's research in primary and secondary classrooms. It has offered potentially useful insights for teaching yet its implications for practice are rarely implemented. It has been subject also to negative…
Descriptors: Educational Research, Multivariate Analysis, Teaching Methods, Research Methodology
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Valero-Mora, Pedro M.; Ledesma, Ruben D. – Journal of Statistics Education, 2011
This paper discusses the use of interactive graphics to teach multivariate data analysis to Psychology students. Three techniques are explored through separate activities: parallel coordinates/boxplots; principal components/exploratory factor analysis; and cluster analysis. With interactive graphics, students may perform important parts of the…
Descriptors: Data Analysis, Psychology, Computer Graphics, Educational Technology
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Rassuli, Ali; Manzer, John P. – Journal of Education for Business, 2005
Considerable attention has been given to the efficacy of team-learning pedagogy, yet the methodology remains underused among educators in institutions of higher education. We suggest that the perception of success is antecedent to greater acceptance and use of this teaching style. Educators and students alike must experience the value creation…
Descriptors: Cooperative Learning, Teaching Methods, Higher Education, Multivariate Analysis
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