This study aims to employ the supervised machine learning algorithms to examine factors that negatively impacted academic performance among college students on probation (underperforming students). We used the Knowledge Discovery in Databases (KDD) methodology on a sample of N = 6514 college students spanning 11 years (from 2009 to 2019) provided…

The study investigated the joint contribution of the self-regulated learning (SRL) and individual differences approaches to the prediction of university students' grade point average (GPA) obtained at three separate time points throughout their degree (3 years). We assessed cognitive (i.e., previous academic performance, cognitive ability, and…

Graduate admission has become critical for quality assurance. An innovative solution is needed to achieve efficiency and consistency in the admission process at institutions. However, the existing research is lack of a simple practical method for informed decision-making for admissions. We develop a multi-criteria decision-making (MCDM) model to…

This study introduces data mining methods to accounting education scholarship to explore the relationship between accounting students' current academic performance (grades), demographic information, pre-university entrance scores and predicted academic performance. It adopts a C4.5 classification algorithm based on decision-tree analysis to…

Structural equation modelling was used to investigate the predictive associations between kindergarten developmental, socio-behavioural, and biotic influences on third grade achievement among a nationally representative sample of low-SES children. The findings validate the understanding that developmental and learning trajectories start early in…

This study examines the effect of race/ethnicity, immigrant status and the role of school belonging on the academic achievement of Mexican, Filipino, and white students. We focus on school belonging and peer influences in concert with immigrant generational status and family income to predict students' academic achievement at the end of 9th grade.…

Education systems produce a large number of valuable data for all stakeholders. The processing of these educational data and making studies on the future of education based on the data reveal highly meaningful results. In this study, an insight was tried to be developed on the educational data collected from ninth-grade students by using data…

In this study, we examine children's National Assessment Program--Literacy and Numeracy (NAPLAN) achievement predictors, which may enable or limit their numeracy performance and assess the relative importance of the predictor variables. Our data source was the NAPLAN numeracy results of Queensland schools from 2014 to 2017. Years 3 and 5…

A successful first year is of vital importance to academic achievement in higher education. How can we identify those students at risk at a very early stage, i.e. even before they have entered university? This study focuses on three pre-university factors, namely academic self-efficacy, self-regulated learning, in terms of autonomous motivation…

This study assessed the feasibility of using precollege success indicators to identify at-risk students at a large 4-year public research university in the Midwest. Retention data from students who participated in an established student success program were examined. The findings affirm that the initial admissions assessment identifying at-risk…

In many countries entrance to Higher Education is determined by the performance of students in secondary school and/or the scores obtained in national exams. The relative weight of these two scores on the admission decision is a relevant policy topic, given its implication on who is admitted to university. The purpose of this paper is to…

Based on Eccles' expectancy-value model of achievement motivation this study used questionnaires to explore the relationships between expectations, task values and A-level achievement in 930 students from 12 Oxfordshire schools. Understanding the relationship between these variables is important given the significance of these qualifications for…

There has been a steady increase in college enrollment rates in recent decades, which has not been accompanied by a corresponding increase in graduation rates. If this discrepancy is partly due to insufficient effort exerted by students, policies that aim at rewarding effort explicitly may succeed in increasing graduation rates. A unique and rich…

We investigate the link between schooling achievement and creativity scores, controlling for personality traits and other individual characteristics. Our study is based on field data collected in a secondary school situated in a Parisian suburb. Four scores of creativity were measured on 9th graders. Verbal divergent thinking negatively predicts…

This study looked at the success rate of first-year students in a new program for conditionally admitted students. Logistic regression was used to determine the impact of several pre-college variables, such as high school grade point average and ACT scores, and orientation generated variables, specifically placement test results, on the dependent…