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. All analyses were conducted using the SPSS statistical software, version 27.0. Results indicate the presence of four clusters: Cluster 4 (73.625%) exhibited no instances of cyberbullying behaviors. Cluster 1 (21.875%), which exhibited low scores across all cyberbullying behaviors except identity manipulation, was the most prevalent. Cluster 2 (3.125%) demonstrated high scores for public aggression and social isolation. Finally, Cluster 3 (1.375%) exhibited high scores for all cyberbullying behaviors. Furthermore, gender differences play a significant role in the formation of these clusters. It is therefore evident that there are various profiles of cyberbullying victims, which both public policies and educational programs should be aware of in order to adapt their prevention strategies. This is also a factor that affects university dropout prevention programs.

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. A non-experimental explanatory design of latent and observed variables was used. Structural equation analyses with Mplus software were performed. The sample consisted of 956 first year university students. The study complied with the ethical requirements for research with human subjects. As a result, a predictive model with adequate adjustment indexes was obtained. When evaluating the explanatory capacity through the coefficient of determination (R2 ), it was observed that it explains 38.9 and 27.4% of the variance of the dropout intention and career satisfaction, respectively. This percentage of explanation indicates a large effect size in Social Sciences; therefore, they are considered adequate predictive models. The mediation of university social satisfaction on the relationships between social support, social self-efficacy, and academic purposes with academic adjustment and dropout intention was, respectively, confirmed. The perception of academic performance has less influence on dropout intention and on career satisfaction among first-year students. The model obtained allows explaining the dropout intention and career satisfaction in first year students. In addition, it is composed of variables that can potentially be modified in the interaction of students and professors.

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. Step 1 was an analysis of personal and contextual variables in a comprehensive examination of dropout in a sample of 1,016 engineering students. In step 2 a short interview by telephone were conducted with 82 students who dropped out, identifying their reasons and their academic/professional situation. In step 3 in-depth interviews were conducted with six students in order to understand the dynamic process of their decisions to leave. RESULTS: The academic/professional situations of students who dropped out were quite varied, for example the same course or a different course at another institution, starting a job, not working or studying, or attending another level of professional training. There were three main reasons for dropping: vocational, learning process and achievement, and reconciling roles. CONCLUSIONS: Engineering student dropout is related to vocational and academic achievement. This should be considered in the implementation of programs to reduce the rate of dropout.

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. Advantages of this method include the lack of strong distribution hypothesis, the capacity for handling bigger data sets and the interpretability of the results. Results are consistent with previous research, showing the influence of personal and contextual variables and the importance of academic performance in the first year, but other factors are also highlighted with this model, such as the importance of dedication (part or full time), and the vulnerability of the students with respect to their age. Additionally, a comprehensive graphic output is included to make it easier to interpret the discovered rules.

Construção de um questionário transcultural de motivos de abandono do ensino superior / Development of a transcultural questionnaire of motives for higher education dropout / Construcción de un cuestionario transcultural de motivos de abandono de la enseñanza superior

O abandono no Ensino Superior é um tema relevante pela sua incidência e consequências negativas no estudante, família, instituição e sociedade em geral. Procurando conhecer os motivos da intenção de abandono, investigadores do Brasil, Espanha e Portugal convergiram na construção de um questionário de avaliação transcultural. Atendendo à multidimensionalidade das causas de abandono, o questionário abarca seis dimensões: Social, Acadêmica, Professores, Saúde e Bem-estar, Institucional e Financeira. A análise fatorial, com amostras autônomas de estudantes do 1º ano do Brasil, Espanha e Portugal, mostrou uma distribuição adequada dos itens nas seis dimensões, com alguma discrepância na dimensão Professores na amostra do Brasil. Os índices de consistência interna atingiram níveis adequados nas seis dimensões (valores entre 0,74 e 0,91). Futuros desenvolvimentos devem testar a dimensionalidade do questionário e a sua invariância nos três países, incluindo já variáveis psicológicas e académicas para análise da validade de critério. (AU)

The dropout in higher education assumes relevant percentages, with negative consequences for the students, family, institution and society in general. In order to know the reasons for the dropout intention, researchers from Brazil, Spain and Portugal converged on the construction of a transcultural questionnaire. Face the multidimensional nature of dropout causes, the questionnaire assesses six dimensions: Social, Academic, Faculty, Health and Wellbeing, Institutional, and Financial. The factorial analysis, with autonomous samples of first-year students from Brazil, Spain and Portugal, showed an adequate distribution of the items by the six dimensions, with some difficulties in Faculty dimension in Brazilian sample. The internal consistency of items reached adequate levels in those six dimensions (values range from .74 to .91). Future developments should test the dimensionality of the questionnaire and its invariance in all three countries, including other psychological and academic variables for criterion validity analysis. (AU)

El abandono en la enseñanza superior es un tema relevante por su incidencia y por sus consecuencias negativas a nivel personal, familiar, institucional y social. En búsqueda de conocer las razones de intención de abandono, investigadores de Brasil, España y Portugal participaron en la construcción de un cuestionario de evaluación transcultural. Dicho instrumento, de naturaleza multidimensional, se organiza en seis dimensiones: Social, Académica, Profesorado, Salud y Bienestar, Institucional y Financiera. El análisis factorial, con muestras independientes de los estudiantes del primer año de Brasil, España y Portugal, mostró una distribución adecuada de los ítems en las seis dimensiones, con alguna discrepancia en la dimensión Profesorado en la muestra brasileña. Los índices de consistencia interna alcanzaron niveles adecuados (valores entre .74 y .91), si bien que se debe realizar nuevos estudios para probar la dimensionalidad del cuestionario y su invariancia en los tres países, incluyendo las variables psicológicas y académicas para analizar la validez de criterio. (AU)