Many educational institutions are using predictive models to leverage actionable insights using student data and drive student success. A common task has been predicting students at risk of dropping out for the necessary interventions to be made. However, issues of discrimination by these predictive models based on protected attributes of students…

The educational recommendation system to provide support for academic guidance and adaptive learning has always been an important issue of research for smart education. A bad guidance can give rise to difficulties in further studies and can be extended to school dropout. This paper explores the potential of Educational Data Mining for academic…

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…

Students' academic achievement outcome hinges on many factors such as attendance, behaviour, motivation and parental monitoring of students' performance. Unlike in primary and secondary schools where there are templates for parents to monitor their wards' academic records, the situation is different in tertiary institutions. Consequently, this…

School dropout is a growing concern across Latin America because of its negative social and economic consequences. Identifying who is likely to drop out, and therefore could be targeted for interventions, is a well-studied prediction problem in countries with strong administrative data. In this paper, we use new data in Guatemala and Honduras to…

The main purpose of the paper is to estimate the efficiency of a big public university in Italy using individual student-level data, modeling exogenous variables in human capital formation through a heteroscedastic stochastic frontier approach. Specifically, a production function for tertiary education has been estimated with emphasis on…

Depressive symptoms, a lack of close supportive relationships and suicidal ideation are important risk factors for suicidal acts. Previous studies have primarily focused on the additive effects of close relationships and depressive symptoms on suicide risk. Here we explored whether, in addition, close relationships moderated the impact of…

This paper examines factors that are associated with the probability of completion of apprenticeship programmes by individual learners in England. Data are from the 2008/2009 academic year Individualised Learner Record--the administrative database containing information on all learners in the Further Education system in England. The analysis…

Ethical and legal objections to learning analytics are barriers to development of the field, thus potentially denying students the benefits of predictive analytics and adaptive learning. Jisc, a charitable organization that champions the use of digital technologies in UK education and research, has attempted to address this with the development of…

Although the importance of primary schools in the long term is of interest in educational effectiveness research, few studies have examined the long-term effects of schools over the past decades. In the present study, long-term effects of primary schools on the educational positions of students 2 and 4 years after starting secondary education are…

This paper focuses on the management of distance education examination in a lowly resourced North-Eastern region of Zambia. The study applies Hermeneutic Phenomenology approach to generate and make sense of the data. It is the lived experiences of 2 invigilators and 66 students purposively selected that the study draws its insights from. Meaning…

With the adoption of Learning Management Systems (LMSs) in educational institutions, a lot of data has become available describing students' online behavior. Many researchers have used these data to predict student performance. This has led to a rather diverse set of findings, possibly related to the diversity in courses and predictor variables…

Data mining is known to have a potential for predicting user performance. However, there are few studies that explore its potential for predicting student behavior in a procedural training environment. This paper presents a collective student model, which is built from past student logs. These logs are first grouped into clusters. Then, an…

Peers have a paradoxical influence on each other's educational decisions. On one hand, students are prone to conform to each other's ambitious educational decisions and, on the other hand, are discouraged from ambitious decisions when surrounded by successful peers. In this study I examine how peers influence each other's decision to apply to an…

When seeking entry to a profession or employment in Ontario, Canada, internationally trained professionals may face multiple challenges. One of the most serious challenges to labour market success, as identified by immigrants themselves, is a lack of recognition of the academic credentials earned outside of Canada. International credential…