Search results

An ideal learning analytics tool for programming exercises performs the role of a lecturer who monitors the code development, provides customized support and identifies students at risk to drop out. But a reliable prediction and prevention of drop-out is difficult, due to the huge problem space in programming tasks and variety of solutions and programming strategies. The purpose of this paper is to tackle this problem by, first, identifying activity patterns that indicate students at risk; and, second, finding reasons behind specific activity pattern, for identification of instructional interventions that prevent drop-out.

The authors combine two investigation strategies: first, learning analytic techniques (decision trees) are applied on features gathered from students, while completing programming exercises, in order to classify predictors for drop-outs. Second, the authors determine cognitive, motivational and demographic learner characteristics based on a questionnaire. Finally, both parts are related with a correlation analysis.

It was possible to identify generic variables that could predict early and later drop-outs. For students who drop out early, the most relevant variable is the delay time between availability of the assignment and the first login. The correlation analysis indicates a relation with prior programming experience in years and job occupation per week. For students who drop out later in the course, the number of errors within the first assignment is the most relevant predictor, which correlates with prior programming skills.

The findings indicate a relation between activity patterns and learner characteristics. Based on the results, the authors deduce instructional interventions to support students and to prevent drop-outs.

This paper assesses the drop-out rate among disadvantaged students within vocational education and training. The purpose of this paper is to examine the probability of dropping out after school-based training for child welfare clients – a particularly disadvantaged group of youth. Child welfare clients’ drop-out rate is compared with students from a representative sample of their peers.

Average marginal effects were calculated from multinomial logistic regression models. Data were from public registries (n=10,535).

The results show that differences in observed characteristics cannot explain differences in drop-out rates between child welfare clients and the majority peers. It is argued that this drop-out rate is likely a result of employers favoring apprenticeship applicants who are similar to them or that child welfare clients lack networks, which previous research has identified as crucial in finding an apprenticeship.

The results suggest a need for action targeting disadvantaged youths in the transition that follows school-based training.

The paper adds to the very scarce literature on transition from school-based learning to apprenticeships.

The aim of the paper is to identify the causal effect of the COVID-19 induced crisis on students' decisions about their educational plans. The authors hypothesise that students adjusted their decisions by delaying graduation, dropping out or change the field of education because of increased uncertainty about future employment and monetary returns.

The empirical approach is based on a survey done during the first wave of COVID-19 in Slovenia. The probability of dropping out, prolonging or stop-out is designed by applying probit and probit with insturmental variables empirical model.

Primary orientation towards work increases the probability of dropping out and financial constraints increase the probability of prolonging studies. The same holds after accounting for endogeneity. However, the authors do not find that poor job expectations due to COVID-19 affect students' decisions to prolong, drop-out or stop-out. The authors also find that the primary orientation toward work or study explains the differences in the probability of each outcome that is not influenced by enrolment in a particular field of study.

The results cannot be read as an objective prediction of the impact of the COVID-19 crisis on college failures. However, the study provides insight into how students' expectations change their intentions to prolong, drop-out, or stop-out during periods of high uncertainty. The extent, to which measured intentions are realised, however, is uncertain.

Understanding the response diversity and motives behind students' study decisions represents extremely valuable insights for economic policy. Mapped apprehensions, augmented by heterogeneity in personal and financial characteristics, are relevant for policymakers. In terms of future research, it would be interesting to analyse what changes occurred over a five-year period, specifically which field of study was most affected by students' adjusted plans due to the pandemic.

Students have always been a special group in the labour market. After the initial shock of closing activities, studying online and the drastic decrease in student work due to COVID-19, the decision was made in spring 2020 to continue on the chosen path or not. This paper provides insight into the changing decision students made about their educational plans.

This paper is one of the first to highlight the implications of COVID-19 for the adaptation of student plans in the transition from school-to work in Europe. It departs from the classical literature of college failures, as specific macroeconomic conditions influence students to reconsider their educational decisions. Moreover, the paper also contributes to the rapidly growing literature on the impact of the COVID-19 pandemic on household-level labour market outcomes, particularly with respect to job search and labour supply decisions in general.

The purpose of this paper is to compare the emotional competence of first year undergraduates enrolled on a high or low drop‐out rate (HDR and LDR, respectively) course, at a newly established university within the UK.

A mixed methods approach using both quantitative and qualitative data collection methods was used. The Trait Emotional Intelligence Questionnaire (TEIQue) established participants' emotional competence, and semi‐structured interviews were used to probe the findings from the TEIQue.

The results indicate that typical HDR course participants have high self‐esteem and a good level of interpersonal skills, but are controlled by their emotions and exhibit an external locus of control. This manifests itself in a distrust of peers as a source of support and a reactive attitude to self‐improvement. Typical LDR course participants have low self‐esteem and a good level of intrapersonal skills, but have developed the ability to control their emotions and exhibit an internal locus of control. This manifests itself in a high level of confidence in peers as a source of support and a proactive attitude to self‐improvement.

The paper contributes to the learning styles literature by investigating the impact of students' characteristic affective behaviours on their vulnerability to drop‐out.

Research on the association between individual characteristics of undergraduate students, drop-out and delayed graduation is still evolving. Therefore, further evidence is required. The paper aims to discuss this issue.

This paper reports on an empirical study examining the relationship between students’ individual characteristics and delayed graduation. The analysis is based on a sample of 1,167 students who have registered on and have completed a full-time undergraduate programme in Italy. Using a Probit model, the findings document the individual, background and environmental indicators that play a role in explaining delayed graduation.

The study observes that students who commute to university perform better than those residing on campus. Other factors increasing the probability of completing the undergraduate programme on time include individual characteristics (e.g. gender and age), student background (family income, education), institutional environment (teaching and research quality) and student satisfaction. Finally, some policy implications are discussed.

A direct policy implication of these findings is that supporting academic staff in order to enhance their performance in both research and teaching has a positive effect on the performance of the students.

This paper contributes to the debate on the impact of institutional quality on students’ performance, aiming to address the question of balance between teaching and research orientation.

On the theoretical level, this chapter examines the mechanisms through which cultural and financial capital affects educational outcomes in different institutional contexts. On the methodological level, the central question in this chapter is how to resolve concerns in comparative analyses of educational attainment, such as variations in enrolment rates and study program duration across institutional settings. On the empirical level, the chapter asks whether family background predicts educational attainment in similar ways in two diametrically opposed welfare states: the United States and Norway. Differences in dropout from higher education were compared using nationally representative longitudinal data from the United States and Norway and event history and multilevel modelling techniques. The chapter also makes use of the standardized sheaf coefficient to summarize central background variables for more direct comparison of effect sizes. The findings show that whereas parents’ education level has strikingly similar effects on students’ dropout probabilities in the two countries, the effect of parents’ income varies substantially according to the institutional context. The chapter concludes that in comparative analyses of inequality in education the value of different types of family resources must be understood in light of the concrete, practical constraints of the national institutional contexts.

This paper is the first of its kind to look at first-year undergraduates in France. The purpose of this paper is to measure the impact of holding down a job on the probability of students dropping out of higher education or passing their first year.

Given the existence of relevant unobserved explanatory variables, probit models with two simultaneous equations have been estimated. The first equation will enable us to explain paid employment or working hours, and the second academic outcomes that allow for dropout.

The results show that being employed means students are more likely to drop out during their first year and less likely to pass. The latter finding is comparable with results for subsequent academic years although the impact is greater for first-year undergraduates. The more intensive the work, the greater the adverse effects of employment.

By refining the research, this negative impact of employment is not verified for all the student profiles. For some of them, e.g., those with honours at the secondary bachelor, employment does not harm their academic results.

Although China has instituted compulsory education through Grade 9, it is still unclear whether students are, in fact, staying in school. In this paper, the authors use a multi-year (2003–2011) longitudinal survey data set on rural households in 102–130 villages across 30 provinces in China to examine the extent to which students still drop out of school prior to finishing compulsory education.

To examine the correlates of dropping out, the study uses ordinary least squares and multivariate probit models.

Dropout rate from junior high school was still high (14%) in 2011, even though it fell across the study period. There was heterogeneity in the measured dropout rate. There was great variation among different regions, and especially among different villages. In all, 10% of the sample villages showed extremely high rates during the study period and actually rose over time. Household characteristics associated with poverty and the opportunity cost of staying in school were significantly and negatively correlated with the completion of nine years of schooling.

The findings of this study suggest that China needs to take additional steps to overcome the barriers keeping children from completing nine years of schooling if they hope to either achieve their goal of having all children complete nine years of school or extend compulsory schooling to the end of twelfth grade.

The authors seek to measure the prevalence of both compulsory education rates of dropouts and rates of completion in China. The study examines the correlates of dropping out at the lower secondary schooling level as a way of understanding what types of students (from what types of villages) are not complying with national schooling regulations. To overcome the methodological shortcomings of previous research on dropout in China, the study uses a nationally representative, longitudinal data set based on household surveys collected between 2003 and 2011.

This study examined the psychometric properties of intention to drop out and study satisfaction measures for first-year South African students. The factorial validity, item bias, measurement invariance and reliability were tested.

A cross-sectional design was used. For the study on intention to drop out, 1,820 first-year students participated, whilst 780 first-year students participated in the study on satisfaction with studies. Confirmatory factor analysis (CFA), differential item functioning (DIF), measurement invariance and internal consistency were used to test the scales.

A one-factor structure was confirmed for both scales. For the intention to drop out scale, Items 3 and 4 were identified with statistically significant item bias; however, these differences had no practical impact. Except for scalar invariance for language, sufficient measurement invariance was established. No problematic items were identified for the study satisfaction scale.

In essence, this study provides evidence of two short measures that are culturally sensitive that could be used as short and valid measures across contextual boundaries as practically valuable tools to measure intention to drop out and study satisfaction in diverse and multicultural contexts.

This study contributes to limited research on bias and invariance analyses for scales that can be used in interventions to identify students at risk of leaving the university and utilising psychometric analyses to ensure the applicability of these two scales in diverse and multicultural settings.

Because of high drop‐out rates among the students entering vocational education in Denmark retention of students has become pivotal to Danish educational policy. Thus vocational educational training (VET) colleges have been asked to work on implementing different kinds of retention initiatives and as a result, most colleges have established extended basic courses aimed at students with personal, social and/or academic difficulties. This paper aims to explore the emotional aspects of vocational educational teachers' work and present a preliminary analysis of the notion of care as socially situated within the vocational educational system.

This paper derives from a study based on fieldwork at a VET college offering extended basic courses. During the fieldwork nine weeks of participating observations and 13 interviews with teachers were conducted.

The paper provides empirical insights into the emotional practices and the management of emotions related to prevention of dropout within an educational setting. It shows how emotional practices can provide both teachers and students with positive identities and make out a productive force that prevents students from dropping out. However the management of emotions also involves a range of dilemmas and ambivalences revealing the difficult limitations related to an institutionalization and professionalization of human care.

Because of the chosen research design more studies on the emotional aspects of prevention of drop‐out from both the perspective of teachers and students are needed.

The emotional dimension of retention remains to be recognized and critically discussed more widely among stakeholders at different levels within the VET system and policy makers within education. Handling both the possibilities and the pitfalls of emotional practices requires that teachers are not left alone feeling responsible for the fate of their students.

The paper contributes with descriptions of how emotions can be productive forces preventing students from dropping out of education. At the same time it identifies a need for further critical examination of the emotional aspects of teachers' working life.