Course-based undergraduate experiences (CUREs) have been employed to enhance students' content knowledge, self-efficacy, science identity, and enrollment in postgraduate programs. In this study, we used it as a science communication skills enhancement tool. The CURE-Comm Framework was implemented to integrate science communication into a CURE in…

Building a culture of data governance at a higher education institution involves collaboration across the entire institution. Before the creation of formalized roles to perform data management and data governance functions at colleges and universities, these functions were performed by traditional institutional research personnel. Documentation…

This paper characterizes the ways in which increased attention to response process data has implications for psychometrics. To do so, this work draws on two organizing frameworks that have heretofore not been associated: evidence-centered design, and the distinction between greater and lesser statistics. Overlaying these frameworks leads to a…

Thanks to COVID-19, schools were closed and tests were canceled. The result is that we may not see test-taking data typically seen before. For some analyses, sample sizes may not meet the minimum requirement. For others, the sample of test-takers may be different from previous years. In some situation, there may be no data at all. What do we do in…

In this essay review, we first historicize how the OECD (Organization for Economic Co-operation and Development) rose to be a global education policy actor and authority from a historical, comparative, and international perspective. Subsequently, we sketch out the global educational governing mechanisms developed by the OECD, which include but are…

Onwuegbuzie and Hitchcock (2015) provided an initial framework for conceptualizing and conducting advanced-level mixed analysis approaches. In the present article, we build on these efforts by altering the framework to focus on crossover analyses, which might help analysts see the various component steps that can go into crossover analyses and…

Changing criterion designs (CCD) are single-case experimental designs that entail a step-by-step approximation of the final level desired for a target behavior. Following a recent review on the desirable methodological features of CCDs, the current text focuses on an analytical challenge: the definition of an objective rule for assessing the…

Teaching students to reason with data is not a totally new enterprise. A small but insistent statistics education community has been studying the process for decades. This commentary provides an introduction to some major themes of that research, in order to provide common ground for conversations between learning sciences researchers and those…

Classroom observation data using tools such as the Classroom Observation Protocol for Undergraduate STEM (COPUS) are frequently collected in instructional settings for large-scale research studies and program assessment. While COPUS data may be provided to instructors, it is often provided with little or no guidance on how the data can be used to…

Program "profiles" are one-page summaries that highlight the components of each teacher retention strategy or program. Similar to a logic model, program profiles make it easy to understand what components define the program; the direct results of the program component(s); and what the program is collecting, documenting, or measuring to…

Supervised machine learning has become one of the most important methods for developing educational and intelligent tutoring software; it is the backbone of many educational data mining methods for estimating knowledge, emotion, and other aspects of learning. Hence, in order to ensure optimal utilization of computing resources and effective…

This article reports on a multi-method study of a high school course in data science, finding that students who take data science take more mathematics courses than those who do not, there are more under-represented students in data science than is typical for other advanced mathematics courses; that the students who take data science are more…

Educators and researchers have analyzed various image data acquired from teaching and learning, such as images of learning materials, classroom dynamics, students' drawings, etc. However, this approach is labour-intensive and time-consuming, limiting its scalability and efficiency. The recent development in the Visual Question Answering (VQA)…

This playbook provides ways in which Higher Education Agencies (sometimes referred as the State Higher Education Executive Officers) and teams can blur the lines between high school, postsecondary education, and the workforce. Higher Education Agencies (HEAs) play a significant role to Raise the Bar for student success by developing an…

While on my own journey of personal development in action learning facilitation, I conducted a research project in response to the question: How do facilitators most effectively support Critical Action Learning (CAL)? From selecting the topic and establishing the methodology, through to collecting data and analysing the results, this account…