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…

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…

In this longitudinal study, we investigate how demographic, cognitive and meta-cognitive variables affect students' success in chemistry and physics exams in two Science-Technology-Engineering-Mathematics undergraduate courses, biology and engineering. Independent variables include high school final examination performance, chemistry and physics…

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…

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…

Based on control-value theory (CVT), we examined longitudinal relations between students' control and value appraisals, three activity-related achievement emotions (enjoyment, anger, and boredom), and math achievement (N = 1,716 fifth and seventh grade students). We assessed appraisals and emotions with self-report measures of perceived competence…

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…

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…

Students in their first year of university face a number of transition issues that can make realising their academic potential difficult. In the sciences, first-year courses cover a large amount of material across broad subject areas, which can make them troublesome for students without background knowledge, and students need to adapt to typically…

This study investigated the role of disablement as a predictor of academic attainment among students awarded first degrees by UK institutions of higher education in 2004-05. Disability explained only 0.1% of the variation in attainment, as measured by whether the graduates had obtained good degrees (i.e. with first-class or upper second-class…

There is a limited literature on academic failure in higher education despite the fact that failure is a common experience among undergraduates. Student and course characteristics were examined in relation to proportions of fail grades assigned in a Faculty of Arts. Concerns had been expressed that combinations of two grades, F (failure to reach a…

The authors report relations between entrance criteria and study success in a program for a master of science in business. Based on the admission criteria broadly used in European business schools and the findings of prior research, the present authors measured eight criteria for study success in the master's degree program. The authors applied…