Variability is underemphasized in domains such as engineering. Statistics and data science education research offers a variety of frameworks for understanding variability, but new frameworks for domain applications are necessary. This study investigated the professional practices of working engineers to develop such a framework. The Neglected,…

Entrepreneurship education has evolved to meet the demands of a dynamic business environment, necessitating innovative teaching methods to prepare entrepreneurs for market uncertainties. Large Language Models (LLMs) like the Generative Pre-trained Transformer 4 (GPT-4), recognized for their exceptional performance on public datasets, are examined…

Teaching conceptions in higher education, or so-called academics' conceptions of teaching (ACTs), are essential in informing teaching behaviors and influencing students' learning. Consequently, several attempts have been made since the 1990s to understand what ACTs represent and how they can be developed towards student-centered teaching. However,…

This resource has been written specifically for higher education practitioners who are interested in improving students' learning experiences through the process of researching their own practice. We use the term 'higher education practitioners' to describe all who work in universities and who have a stake in students' learning experiences.…

This study examines a 118-year continuous record of retention and graduation rates at a public university for long-term trends not observable in shorter studies. While the first year retention rates stayed level over much of this period, second year rates increased steadily by 1.2% per decade. In contrast, graduation rates at 4 years compared to 6…

Increasing demands for accountability from both the public and the government have resulted in increasing pressure for higher education professionals to use data to support their choices. There is significant speculation that professionals at all levels of education lack the knowledge to implement data-driven decision making. However, empirical…

Although behavior analysis relies primarily on visual inspection for interpreting data, previous research shows that the method of display can influence the judgments. In the current study, 26 Board-Certified Behavior Analysts reviewed two data sets displayed on each of three methods--equal-interval graphs, tables, and Standard Celeration…

Several years ago, after a career of teaching biochemistry and introductory biology, the author decided to offer a course for biology majors on biological explanations of social phenomena (Biosocial Problems in Contemporary America). His goal in examining these topics was to help students develop critical-thinking skills that would allow them to…

This study explored some practical issues for single-case researchers who rely on visual analysis of graphed data, but who also may consider supplemental use of promising statistical analysis techniques. The study sought to answer three major questions: (a) What is a typical range of effect sizes from these analytic techniques for data from…