Human decision-making is underpinned by distinct systems that differ in flexibility and associated cognitive cost. A widely accepted dichotomy distinguishes between a cheap but rigid model-free system and a flexible but costly model-based system. Typically, humans use a hybrid of both types of decision-making depending on environmental demands.…

In this integrative literature review, we synthesize the scant literature from the last 40 years of educational research on how school principals make difficult decisions. Reviewing 15 peer-reviewed articles, articles were coded for the methods used and their substantive findings. We review sampling techniques, the types of problems and methods…

There has been considerable interest in what components of decision-making change when speed or accuracy is stressed. In many early studies, quite strict assumptions were made about parameter invariance across experimental conditions (sometimes called selective influence). Here we fit the standard diffusion model to the data from four large…

Since 2019, the European Union has encouraged the establishment of 'new' university alliances, that is transnational strategic groupings involving more than three hundred higher education institutions in the European Union and associated partner countries. This paper treats the European Universities Initiative (EUI) as an instance of a…

As part of a larger study (Boling et al., 2024a, b), this paper reports on how instructional designers define and use precedent knowledge, including its sources, forms, and role in decision-making. Using a qualitative approach, we conducted semi-structured interviews with instructional designers from higher education and non-profit professional…

This study introduces an optimized ensemble deep neural network (Optimized Ensemble Deep-NN) to enhance the accuracy of predicting student grades. This model solves the problem of different and complicated student performance data by using deep neural networks, ensemble learning, and a number of optimization algorithms, such as Adam, SGD, and RMS…

"How do witnesses make identification decisions when viewing a lineup?" Understanding the witness decision-making process is essential for researchers to develop methods that can reduce mistaken identifications and improve lineup practices. Yet, the inclusion of fillers has posed a pivotal challenge to this task because the traditional…

Architectural design pedagogy is indeed complex. At the early stages, basic design principles should be addressed and the design process should be taught with its multidisciplinary variables to enable each student to develop an individual approach. In this regard, the objective of this study is to propose strategies for enhancing students'…

After more than 50 years of research on drop-out from Vocational Education and Training (VET), databases provide vast amounts of drop-out studies from around the globe that entail hundreds of potential drop-out factors. However, many scholars tend to explore the topic without detailed and theoretically grounded foundation. Several diverging…

The ethics surrounding the development and deployment of generative artificial intelligence (genAI) is an important topic as institutions of higher education adopt the technology for educational purposes. Concurrently, stakeholders from various organizations have reviewed the literature about the ethics of genAI and proposed frameworks about it.…

The article demonstrates how a questionnaire gauging students' experiences of participation in decision-making at their school can operationalise student participation in a whole school approach (WSA) to education for sustainable development model. Some 902 students in three upper secondary schools participated in the study by giving their answers…

Although the role of international organizations in the diffusion of education policy is widely acknowledged, their role in the articulation of policy ideas remains comparatively underresearched. This article addresses this gap through a case study on the role of the OECD in the construction of the School Autonomy with Accountability policy…

This paper is concerned with the process of selecting between the increasingly popular bi-factor model and the second-order factor model in measurement research. It is indicated that in certain settings widely used in empirical studies, the second-order model is nested in the bi-factor model and obtained from the latter after imposing appropriate…

In recent years, educators, administrators, policymakers, and measurement experts have called for assessments that support educators in making better instructional decisions. One promising approach to measurement to support instructional decision-making is diagnostic classification models (DCMs). DCMs are flexible psychometric models that…

We explore ways in which statistics can be used to understand disease spread and support decision-making by governments. "Past performance does not guarantee future results"--we hope. We discuss and show examples from the National Science Foundation (NSF)-funded COVID-Inspired Data Science Education through Epidemiology (CIDSEE) project.…