Student dropout is a major concern in studies investigating retention strategies in higher education. This study identifies which variables are important to predict student dropout, using academic data from 3583 first-year students on the Business Administration (BA) degree at the University of Barcelona (Spain). The results indicate that two…

Today, many students are moving towards higher education courses that do not suit them and end up failing. The purpose of this study is to help provide counselors with better knowledge so that they can offer future students courses corresponding to their profile. The second objective is to allow the teaching staff to propose training courses…

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…

Purpose: Demonstration farming has been an important part of agricultural extension since the first decades of the twentieth century. While Seaman Knapp is often credited with developing demonstration farming, his son acknowledged that the concept has much earlier origins in the nineteenth century development of model/pattern farms. However,…

This paper presents a study of correlation between subjects of Diploma in Electrical Engineering (Electronics/Power) at Universiti Teknologi MARA(UiTM) Cawangan Terengganu using Artificial Neural Network (ANN). The analysis was done to see the effect of mathematical subjects (Pre-calculus and Calculus 1) and core subject (Electric Circuit 1) on…

Recurrent event data arise frequently in various fields such as biomedical sciences, public health, engineering, and social sciences. In many instances, the observation of the recurrent event process can be stopped by the occurrence of a correlated failure event, such as treatment failure and death. In this article, we propose a joint scale-change…

This paper explores how fairness was conceptualised by those responsible for admission to highly selective undergraduate courses at 17 universities in England. Fairness was conceptualised principally with reference to the traditional "meritocratic equality of opportunity" paradigm, which holds that university places should go to the most…

Within students' attrition studies, it is necessary to assess the longitudinal evolution of students within a given course of study, from enrolment to exit from the university through degree completion and academic dropout. Here, the student's academic progress is monitored through the number of courses failed each semester enrolled. The students'…

In this study, a model on the high school students' school burnout was tested, and the model's prediction of retained and promoted students was investigated. The school burnout model, in this sense, included the variables of grade point average (GPA), school burnout, perceived social support, stress, perfectionism, academic procrastination, and…

The purpose of this study is to evaluate the opinions of those working in Provincial Directorates of Youth and Sports -- serving as the field service within the body of General Directorate of Sports affiliated to the Ministry of Youth and Sports in Turkey -- regarding the applicability of Six Sigma management model by some variables.…

Purpose: The United States (US) system of special education committed three original sins that perpetuate inequities between children with disabilities and their peers. The purpose of this paper is to examine the history of the US system, contrast this history against international disability law and identify opportunities for leaders to transform…

Our modern era has brought about radical changes in the way courses are delivered and various teaching methods are being introduced to answer the purpose of meeting the modern learning challenges. On that account, the conventional way of teaching is giving place to a teaching method which combines conventional instructional strategies with…

The use of machine learning with educational data mining (EDM) to predict learner performance has always been an important research area. Predicting academic results is one of the solutions that aims to monitor the progress of students and anticipates students at risk of failing the academic pathways. In this paper, we present a framework for…

This study utilises [1993. "Leaving College: Rethinking the Causes and Cures of Student Attrition." 2nd ed. Chicago: University of Chicago Press] theoretical framework, known as the Model of Longitudinal Departure, to investigate success and failure in foundation year medical school in a Middle Eastern transnational location. This…

The Dual Failure Model suggests that peer victimization (social failure) and academic difficulties (academic failure) mediate the association between externalizing and later internalizing problems. The present study sought to better understand why children with externalizing problems develop later internalizing problems by testing the Dual Failure…