This study examined the effects of career-related teacher support on Nigerian (N = 201) and Zambian (N = 192) university students' decisions to choose teaching as a career. In study 1 (Nigerian universities) and study 2 (Zambian universities), data were collected from students who took the 12 weeks of teaching practice exercise at three timepoints…

College student athletes represent a unique subpopulation of university students. Balancing expectations for academics, practice, and performance leaves little time to engage in thoughtful career exploration and postgraduate planning. In the present study, 92 college student athletes (CSAs) completed surveys on career constructs known to impact…

The increasing rate of permanent school closures in U.S. public school districts presents unprecedented challenges for administrators and communities alike. This study develops an early-warning indicator model to predict mass closure events -- defined as a district closing at least 10% of its schools -- five years in advance. Leveraging…

This research with two studies examined whether young children's moral judgments of honesty and dishonesty predict their actual cheating behavior. Participants were 200 children aged 3-6 years (2021-2022. Study 1: N = 80, M[subscript age] = 4.96, 40 girls; Study 2: N = 120, M[subscript age] = 4.98, 60 girls; all middle-class Han Chinese). Children…

In learning analytics and in education at large, AI explanations are always computed from aggregate data of all the students to offer the "average" picture. Whereas the average may work for most students, it does not reflect or capture the individual differences or the variability among students. Therefore, instance-level…

Artificial intelligence in higher education is becoming more prevalent as it promises improvements and acceleration of administrative processes concerning student support, aiming for increasing student success and graduation rates. For instance, Academic Performance Prediction (APP) provides individual feedback and serves as the foundation for…

This quantitative study investigates the predictive power of machine learning (ML) models on degree completion among adult learners in higher education, emphasizing the enhancement of data-driven decision-making (DDDM). By analyzing three ML models - Random Forest, Gradient-Boosting machine (GBM), and CART Decision Tree - within a not-for-profit,…

Mergers among public HEI's in the United States are occurring with regular frequency, but with little research to understand the impact that mergers have on value outcomes at the micro, meso, and macro level. Previous research suggests that there needs to be a more robust way of assessing merger outcomes both quantitatively and longitudinally…

Education boosts any nation's economy. Sri Lankan higher education is competitive. Because only 15% of students who take the General Certificate Examination in Advanced Level (G.C.E A/L) are qualified to enter public universities, every student struggles to get into university. Some ineligible public college students attend private universities,…

Algorithmic decision-making systems such as Learning Analytics (LA) are widely used in an educational setting ranging from kindergarten to university. Most research focuses on how LA is used and adopted by teachers. However, the perspective of students and parents who experience the (in)direct consequences of these systems is underexplored. This…

The decision to pursue a legal education can be life-changing, but students often receive outdated advice from legal studies faculty. This article seeks to educate legal studies faculty advising potential law school students. We review the Law School Admission Test and consider how predictive that measurement may be of various forms of success. We…

During the final years of secondary school, students engage in the decision-making process regarding their important choice of university career. Individual differences in how people approach this process could be attributed to personality traits, gender, and the specific year of attendance. To investigate this hypothesis, a study was conducted…

Higher numeracy is associated with better comprehension and use of numeric information as well as reduced susceptibility to some decision biases. We extended this line of work by showing that increased numeracy predicted probability maximizing (versus matching) as well as a better appreciation of large sample sizes. At the same time, we replicated…

The three-step Parsonian approach has lasted more than a century and paved the foundation to the modern career counselling, which emphasized the importance of knowing the self, the environment, and "true reasoning". The use of assessments remains as an integral part of career counselling. Therefore, the current study aims to carefully…

The integration of educational data mining and deep neural networks, along with the adoption of the Apriori algorithm for generating association rules, focuses to resolve the problem of misdirection of students in the university, leading to their failure and dropout. This is reached through the development of an intelligent model that predicts the…