Teaching statistics to undergraduate business students is an enduring challenge, often due to student apprehension and low understanding of relevance. The Data to Decision Project is an approach designed to address this challenge. At the onset of an introductory statistics course, fifty-two students received instruction on the Define, Collect,…

This article describes an activity and resource from The New York Times that can be used to help learners cultivate critical statistical literacy. Critical statistical literacy involves understanding, interpreting, and questioning statistical information to make informed decisions (Casey et al., 2023; Franklin et al., 2015; Weiland, 2017). It is a…

It is unclear whether the data visualization skills possessed by data-centric practitioners reflect recent advances in computing systems and visual design principles, and their role in generating relevant and insightful output to support decision-making. In this study, the author presents a curriculum designed for teaching basic and advanced…

Dashboards have become a crucial element of contemporary business operation and management; therefore, it is desirable for business students to acquire knowledge of them. This article investigates the effectiveness of designing learning activities around investment dashboards in the context of introductory business analytics (IBA) courses. We…

Data-based individualization (DBI) is a framework that allows educators to make timely and informed decisions about student progress in academics or behavior. In this article, we focus on the DBI framework as applied to math intervention within a tiered support model for students experiencing math difficulty. We review how DBI starts with an…

The research addresses how post-secondary education can enhance Black student participation in STEM fields, which historically lag behind their White counterparts. Through improvement science, the researchers test the effectiveness of providing scaffolded learning and awareness modules for faculty and staff to enhance curricular design efforts and…

The researchers believe that post-secondary education can provide a greater number of Black students with degrees in the fields of Science, Technology, Engineering, and Math (STEM). Using improvement science, this research aims to test whether providing scaffolded learning and awareness modules around success in STEM programs for faculty and staff…

The emergence of big data in educational contexts has led to new data-driven approaches to support informed decision making and efforts to improve educational effectiveness. Digital traces of student behavior promise more scalable and finer-grained understanding and support of learning processes, which were previously too costly to obtain with…

In interactive e-learning environments such as Intelligent Tutoring Systems, there are pedagogical decisions to make at two main levels of granularity: whole problems and single steps. Here, we focus on making the problem-level decisions of worked example (WE) vs. problem solving (PS) and the step-level decisions of elicit vs. tell. More…

Summative assessment data are rarely adapted into instructional decision making. In this project, teachers and researchers work together to identify how teachers use diagnostic data (students' development of common core standards). We analysed students' responses to trimester tests that teachers and researchers modified together using cognitive…

As agriculture increasingly moves into a digital realm, it is important for future professionals to gain experience with predictive and computer-based technologies. Farm simulation platforms can be efficient tools for crop management and natural resources courses, yet limited research has demonstrated their efficacy in undergraduate education. We…

Data literacy is a growing area of focus across multiple disciplines in higher education. The dominant forms of introduction focus on computational toolchains and statistical ways of knowing. As data driven decision-making becomes more central to democratic processes, a larger group of learners must be engaged in order to ensure they have a seat…

Teacher-led inquiry cycles--in which small groups of teachers study and address a promise--hold promise as a method of professional development, but only if they receive enough support. In particular, they need access to outside expertise that can help them meaningfully change instructional practices--often a difficult step for teachers working on…

Curriculum mapping is a necessary process for establishing evidence of where learning outcomes are taught and assessed in higher education programmes. Mapping ensures the credibility of the institution and programme offerings and provides students with a clear understanding of what they can expect to learn and achieve during their academic…

As the body of scientific evidence about effective policies and practices grows, so does the need to effectively communicate that evidence to policy-makers and practitioners. Clearinghouses have emerged to facilitate the evidence-based decision-making process for education practitioners. While the results and methods for developing and analyzing…