As a result of the COVID-19 pandemic, anatomy education was forced to adopt online modes of delivery. Previous research on student views revealed areas of strong preference (asynchronous lectures) and strong dislike (virtual specimens) in online anatomy courses. The current study seeks to compare the views of a single cohort of students…

Prompting learners to generate examples has been proposed as an effective way of developing understanding of a new concept. However, empirical support for this approach is lacking. This article presents two empirical studies on the use of example-generation tasks in an online course in introductory university mathematics. The first study compares…

Marketing classes are often focused on the micro level, failing to account for wider societal issues. In this article, we argue for the inclusion of a wider macro-sustainability focus, one that "hacks" marketing education. With that objective in mind, we developed and delivered an introductory marketing course that integrated both the…

We describe a novel, university-level, introductory biology course that uses evolution as a narrative framework. Our course conveys the content in an introductory biology course by telling the story of the evolution of life on Earth. We begin with early Earth environments in which biological molecules and processes evolved and led to the first…

Introductory courses in biology often lack sufficient emphasis on quantitative skills and interdisciplinary problem solving, leaving many students unprepared for more advanced biology coursework and hampering their ability to pursue biology research careers. MathBench Biology Modules were created to enhance the quantitative skills of biology…

The current study measures the extent to which students' self-regulated learning tactics and learning outcomes change as the result of a deliberate, data-driven improvement in the learning design of mastery-based online learning modules. In the original design, students were required to attempt the assessment once before being allowed to access…

The expectations within higher education to improve online STEM courses have continued to increase. The pressure to do so particularly pertains to the lower-level introductory courses that act as gatekeeping courses to various STEM-related majors. Rather than working alone to improve their courses, more instructors for these courses pair with the…

I conducted a set of four studies to catalogue and examine course elements, including active learning strategies and evidence-based teaching practices, and their influence on student experiences and performance in college biology classes. In the first study, I defined the term "active learning" and catalogued the 300[plus] strategies…

The Energy and Momentum Conceptual Survey (EMCS) is a multiple-choice survey that contains conceptual problems involving a variety of energy and momentum concepts covered in a typical introductory physics course for science and engineering majors. Prior studies suggest that many concepts on the survey are challenging for introductory physics…

Exploring the value of course assessment across multiple teaching modalities, this chapter provides a framework for improving introductory science courses by evaluating the impact of pedagogical modality on student learning.

Course grades are commonly used as an evaluation metric within institutions and as part of education research. However, using grades to compare across course sections may implicitly assume that grades are awarded similarly and consistently. This article details how different sections of the same course offered differing amounts of extra credit and…

Despite the essential position of introductory courses within most political science departments' curricula, comprehensive comparisons of introductory requirements for majors have been somewhat rare. In this manuscript, I report on the state of introductory requirements through analyses of data from 381 national liberal arts colleges and…

Logistic regression (LoR) is a foundational supervised machine learning algorithm and yet, unlike linear regression, appears rarely taught early on, where analogy and proximity to linear regression would be an advantage. A random sample of 50 syllabi from undergraduate business statistics courses shows only two percent of the courses included LoR.…

Understanding statistics is essential for engineers. However, statistics courses remain challenging for many students, as they find them rigid, abstract, and demanding. Prior research has indicated that using project-based learning (PjBL) to demonstrate the relevance of statistics to students can have a significant effect on learning in these…

Understanding measurement uncertainty is crucial in experimental physics, as it enables accurate and reliable measurements, facilitates comparison between measurements, and aids in designing experiments. Consequently, measurement uncertainty has emerged as a critical learning goal for many introductory physics labs. Here, we explore the impact of…