A significant challenge currently facing the higher education sector is how to address differential student outcomes in terms of attainment and continuation gaps at various stages of students' transitions. Worryingly, there appears to be a 'deficit' discourse among some university staff in which differential outcomes are perceived to be due to…

Studying Latin in secondary education is still widespread in Europe and believed to result in cognitive benefits, even beyond the linguistic domain. In this study we explored the relation between such study and later academic achievement in higher education (N = 1,898). First, we demonstrated that Latin students exhibit increased levels of study…

The objective of the study was to investigate the relationship between elearning and the academic achievement of research scholars in healthcare's higher education institutions using multimediators. The study used a theoretical network approach for the review of the literature and the Barron & Kenny model for mediation. The study employed a…

The performance history of 277 students in clothing and textile from two tertiary institutions in southern Nigeria was studied by artificial neural networks (ANN) and analysis of variance (ANOVA) in terms of institution, gender, ordinary level (O-level) qualification, marital status, and age. The study was guided by five research questions and…

In recent times, Educational Data Mining and Learning Analytics have been abundantly used to model decision-making to improve teaching/learning ecosystems. However, the adaptation of student models in different domains/courses needs a balance between the generalization and context specificity to reduce the redundancy in creating domain-specific…

Florida State University researchers spent the last year collecting and analyzing data on corequisite developmental education (DE) models in Texas as part of a four-year study that received a $1.5M grant from the U.S. Department of Education's Institute of Education Sciences. This study was proposed in response to Texas House Bill (HB) 2223, which…

Generic competence (GC) development is an integral part of higher education to provide holistic education and enhance student career development. It also plays a critical role in complementing the curriculum. Many tertiary institutions provide various GC development activities (GCDA). Moreover, institutions strongly need to further understand…

How important are learning strategies or personal attributes for learning outside of domain-specific knowledge or twenty-first-century transversal skills when predicting academic success in higher education? To address this question, we conducted a longitudinal study among 1,681 students at one of the leading universities in Hungary. Students took…

This study proposes a new giving behavior model for higher education institutions (HEI), featuring alumni connectedness as a primary predictor. This contrasts with previous studies that measured variables that showed an inconsistent influence as predictors of alumni's desire to contribute. Alumni connectedness, built from socio-psychological…

Higher education institutions face heightened accountability for student success. As such, higher education relies heavily on big data to predict student outcomes. This process is problematic because predictive models are developed on historical data, are deficit based, and are focused on student factors, neglecting institutional factors. The…

A major challenge for distance learning in higher education is supporting course completion. Counteracting completion risk factors requires investigating their significance across (non)completion stages. We tested the predictability of known risk factors at each completion stage. Not initiating was explained by available time, low motivation and…

The purpose of the present study is to analyze the digital competence of Higher Education students, as a function of their academic performance (have either repeated or a not previously), as well as to predict its significant predictors. For this, an ex-post factor and a sample of 17301 students from Chile (Latin America) were utilized. A…

Domains of motivation, learning and personality traits (MLP) have emerged as vital constructs in studies of academic performance. Although there are abundant studies on the relationships of the three aforementioned dimensions on performance, no systematic synthesis of the empirical literature has been done regarding how three determinants jointly…

Future education requires fostering high-level competencies to enhance student talent, and artificial intelligence (AI) can help in profile analysis. The aim was to determine the variables that predict the GPA of students in the 'Leaders of Tomorrow' program through an integrated methodology of data analytics, machine learning modeling, and…

A wide research base has documented the unequal access to and enrollment in K-12 gifted and talented services and other forms of advanced learning opportunities. This study extends that knowledge base by integrating multiple population-level datasets to better understand correlates of access to and enrollment in gifted and talented services,…