Education Commons^™

You Can Learn A Lot From Fake Data: Reverse Engineering Data As A Means To Analysis, Action & Learning, Jeff Bean

TFSC Publications and Presentations

Second Annual University of Arkansas Teaching and Learning Symposium: Sharing Teaching Ideas While not a formal discipline, “reverse engineering” can yield opportunities for students to experience a compressed end-to-end (e2e) life cycle of projects that leverage human factors such as perception, cognition, and macro-factors such as organizational culture or situational context to improve operations performance, safety, or other organizational outcomes.

As the process of project proposal, approval, and execution can often take months (or longer!), we simply do not have the time or resources to conduct “real” experiments. To give the benefit of e2e projects, students are asked to create …

Three Creativity-Fostering Projects Implemented In A Statistics Class, Margaret Adams

Journal of Humanistic Mathematics

Undergraduates in an introductory statistics class at a rural Southeastern college were assigned three creativity-fostering projects: statistics vocabulary crossword puzzle, word wall, and graffiti art poster. Given math anxiety, fear of failure, and lack of enthusiasm, it seemed imperative to spark interest and involvement. Rhodes 4P’s model (1961) served as the framework for this intrinsic case study involving 62 students. Independent thinking and research, peer collaboration, and use of art supplies within this model (person, press, process and product) generated remarkable learning outcomes. Grading rubrics focused on originality, quality and statistics content. Projects were classified into three qualitative categories ranging …

Evaluation Of The Utility Of Informative Priors In Bayesian Structural Equation Modeling With Small Samples, Hao Ma

Education Policy and Leadership Theses and Dissertations

The estimation of parameters in structural equation modeling (SEM) has been primarily based on the maximum likelihood estimator (MLE) and relies on large sample asymptotic theory. Consequently, the results of the SEM analyses with small samples may not be as satisfactory as expected. In contrast, informative priors typically do not require a large sample, and they may be helpful for improving the quality of estimates in the SEM models with small samples. However, the role of informative priors in the Bayesian SEM has not been thoroughly studied to date. Given the limited body of evidence, specifying effective informative priors remains …

Teaching Business Statistics: Some Useful Relationships, Phil Rice, Chris Brune

Articles

The purpose of this paper is to suggest an instructional approach in the introductory business statistics course that utilizes relationships between separately introduced topics. The paper will explore three “useful relationships” that can assist classroom instruction: (1) the relationship between the simple arithmetic mean, the weighted arithmetic mean, and the expected value of a discrete probability distribution; (2) the relationship between the use of the multiplication rule to calculate the joint probability associated with two events, use of tree diagrams, and the use of the binomial and hypergeometric distributions; and (3) the relationship between the geometric mean and the compound …

How Can Open Educational Resources Be Used In Teaching Business Courses In Community Colleges? – A Case Of Bronx Community College, Harini Mittal, Neil Hwang, Emakoji Ayikoye

Publications and Research

There are a growing number of Open Educational Resources (OER) available worldwide to teach a wide range of courses at various learning levels. Hyler (2006) has listed motives for OER initiatives for institutions such as right to education for all, sharing of knowledge as basis of academics, leveraging tax payer’s money for the common good, better use of resources by reducing costs, good public relations tool, diversity in business models. As for individuals, the motives are access to the best possible resources and to have more flexible materials. Individuals are not motivated by altruistic ambitions, such as assisting developing countries, …

Playfair's Introduction Of Bar And Pie Charts To Represent Data, Diana White, River Bond, Joshua Eastes, Negar Janani

Statistics and Probability

No abstract provided.

Representing And Interpreting Data From Playfair, Diana White, River Bond, Joshua Eastes, Negar Janani

Statistics and Probability

No abstract provided.

Seeing And Understanding Data, Beverly Wood, Charlotte Bolch

Statistics and Probability

No abstract provided.

Why I Believe People Need Painting By Numbers, Jason Makansi

Numeracy

Jason Makansi.2016. Painting By Numbers: How to Sharpen Your BS Detector and Smoke Out the Experts (Tucson AZ: Layla Dog Press). 196 pp. ISBN 978-0998425900.

This piece briefly introduces my Painting By Numbers, which aims to take the core messages of the QL/QR community from academic and professional circles to the rest of the citizenry. I describe the book in the context of the critical need for the most basic numeracy tools to help consumers of news, information, and analysis—delivered through traditional and contemporary social media outlets—determine where a reported numerical result lies on the scale from utter nonsense …

Quantifying Certainty: The P-Value, Dominic Klyve

Statistics and Probability

No abstract provided.

Exploring Relations Between Teachers’ Beliefs, Instructional Practices, And Students’ Beliefs In Statistics, Melissa C. Duffy, Krista R. Muis, Michael J. Foy, Gregory Trevors, John Ranellucci

Publications and Research

We examined the epistemic climate of statistics classrooms across two different classrooms by measuring teachers’ espoused beliefs about teaching statistics and observing their teaching practices. We then explored whether students’ beliefs became more aligned with the epistemic climate of the classroom over time. Post-secondary students’ beliefs were measured at the beginning and end of the semester. To measure the epistemic climate, teachers completed self-reports of their beliefs about teaching and learning, and participated in two semi-structured interviews at the beginning and end of the semester. Moreover, several classroom observations were conducted over the course of the semester. Analyses of the …