Cluster Analysis in Victims of Perceived Cyberbullying at the Higher Education Level.

A number of studies have demonstrated the prevalence of cyberbullying in university settings. The objective of this research is to conduct a cluster analysis to categorize victims according to the nature of the behavior they have received and to examine the relationship between gender and intention to drop out. To this end, the Online Victimization Questionnaire was administered to a sample of 800 first-year students at a university in northern Spain who had opted to participate in the study.

Predictive model of the dropout intention of Chilean university students.

Dropping out of university studies is one of the current problems of Higher Education; the increased rates during the first year of the study programme is considerable around the world. Dropping out has negative social implications that are reflected at the personal, family, institutional, and educational levels. The aim of this study was to evaluate a predictive model considering the mediation of university social satisfaction and perceived academic performance within the relations between perceived social support, social self-efficacy and academic purposes with career satisfaction and dropout intention in Chilean university students.

University Dropout in Engineering: Motives and Student Trajectories.

Background: Dropout in higher education is a concern for students, families, educational institutions, and society. Tertiary education is an important mechanism for empowering people and STEM courses are vital to countries' development.

Method: The study combined quantitative and qualitative data.

Dropout and transfer paths: What are the risky profiles when analyzing university persistence with machine learning techniques?

University dropout is a growing problem with considerable academic, social and economic consequences. Conclusions and limitations of previous studies highlight the difficulty of analyzing the phenomenon from a broad perspective and with bigger data sets. This paper proposes a new, machine-learning based method, able to examine the problem using a holistic approach.

New media for the promotion of self-regulated learning in higher education.

In this article, some of most relevant programs of self-regulation of academic learning in the sphere of higher education were reviewed. Although there are quite a few of them, we reviewed only the interventions whose contents had been implemented in e-learning modalities or had been supported by the new information and communication technologies. For this task, we arranged the programs along a continuum that ranged from those that deal with the development of self-regulatory competences by indirect training of such competences to the programs whose impact on such competences is much more direct.

[Intellectual styles and academic achievement: a developmental perspective].

The aim of the present study is to provide additional information to highlight some aspects concerning the relationship between thinking styles and academic achievement. In order to understand the extent to which thinking styles predict academic achievement, 1466 students, between 12 and 16 years old, from first to fourth grades of Compulsory Secondary Education (Spanish ESO) took part in the research. A parsimonious model of covariances was assumed in each of the four samples corresponding to the four different grades of Secondary School as well as in the total sample.

[Multimodal intervention program to improve attention deficits].

Is it possible to learn to attend? The purpose of this article is to provide information about the development, administration, and contrast of an intervention program to improve selective and sustained attention in students from 5 to 19 years of age, all attending school, and with difficulties to learn the academic materials corresponding to their age. Two groups participated in the study: one with difficulties in selective attention and the other with difficulties in sustained attention. The group with selective attention difficulties was made up of 102 students, of whom 59 made up the experimental group and 43 the control group.