In considering whether to retain the GRE in graduate school admissions, admissions committees often pursue two objectives: (a) performance in graduate school (e.g., admitting individuals who will perform better in classes and research), and (b) diversity/fairness (e.g., equal selection rates between demographic groups). Drawing upon HR research…

Racism remains a pervasive force around the world with widespread and well documented harmful consequences for members of marginalized racial groups. The psychological biases that maintain structural and interpersonal racism begin to emerge in early childhood, but with considerable individual variation--some children develop more racial bias than…

This research explores the use of eXplainable Artificial Intelligence (XAI) in Educational Data Mining (EDM) to improve the performance and explainability of artificial intelligence (AI) and machine learning (ML) models predicting at-risk students. Explainable predictions provide students and educators with more insight into at-risk indicators and…

Across the United States, our K-12 public schools have very low levels of principals persisting in their jobs. The national average for principal tenure is four years, and one out of every five principals in poverty districts leaves after one year (Levin et al., 2019). The tenure average of four years is a devastating statistic because, according…

Detecting wheel-spinning behaviors of students who interact with an Intelligent Tutoring System (ITS) is important for generating pertinent and effective feedback and developing more enriching learning experiences. This analysis compares decision tree and bagged tree models of student productive persistence (i.e., mastering a skill) using the…

Automated scoring of student language is a complex task that requires systems to emulate complex and multi-faceted human evaluation criteria. Summary scoring brings an additional layer of complexity to automated scoring because it involves two texts of differing lengths that must be compared. In this study, we present our approach to automate…

We sought to replicate prior findings that admissions tests' underprediction of female college performance was driven in part by the omission of Big 5 personality factors from the predictive model, using 5,400 college students. We investigated gender differences in an elaborated model subdividing the Big 5 into ten aspects. We found differences at…

Logistic regression is one of the most fundamental tools in predictive analytics. Graduate business analytics students are often familiarized with implementation of logistic regression using Python, R, SPSS, or other software packages. However, an understanding of the underlying maximum likelihood model and the mechanics of estimation are often…

Alongside new models for government-funded professional development, England's academisation policy has significantly changed access, provision and responsibilities for teacher learning. This article reviews this impact on professional learning in primary mathematics, pointing to increased variability for teachers in the development they…

Children are very curious about the world around them. You may find them peering at tadpoles in a pond, counting ants on a log, or wondering about the stars, the sun, and the moon. I have been asked many times: Is the moon really made of cheese? Do astronauts live on the moon? Why does the moon look different every time I look up? Introducing…

Callous-unemotional (CU) traits predict behavioral problems in adolescence. But little is known about early modulatory factors. Behavioral Inhibition (BI) in particular has been suggested to protect against the development of CU-traits. This temperamental predisposition is characterized by heightened environmental sensitivity. The current…

Massive and timely screening of the student population for early signs of reading difficulties is needed to implement timely effective remediation of these difficulties. However, traditional approaches are costly and hard to apply. Here, we present Lexiland, a tablet-based reading assessment tool for kindergarten and primary school children…

The large rates of students' failure is a very frequent problem in undergraduate courses, being even more evident in exact sciences. Pointing out the reasons of such problem is a paramount research topic, though not an easy task. An alternative is to use Educational Data Mining techniques (EDM), which enables one to convert data from educational…

This study examines how student and instructor participation in online discussions impacts students' course performance. The context for the study is university introductory online mathematics/statistics courses, which typically have much higher failure rates than their face-to-face counterparts. Using text-mining techniques, we analyze online…

Despite increasing demands for skilled workers within the technological domain, there is still a deficit in the number of graduates in computing fields (computer science, information technology, and computer engineering). Understanding the factors that contribute to students' motivation and persistence is critical to helping educators,…