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…

Individuals with Autism Spectrum Disorder (ASD) and the Broad Autism Phenotype (BAP) are more likely than individuals with typical development (TD) to report a sexual minority orientation (e.g., Bejerot and Eriksson, PLoS ONE 9:1-9, 2014; DeWinter et al., Journal of Autism and Developmental Disorders 47:2927-2934, 2017; Qualls et al., Journal of…

The present study examined whether general self-efficacy (GSE) mediated the association between resiliency and academic engagement, and whether social support moderated the mediating process. Participants included 1549 Chinese adolescents (M[subscript age] = 16.71 years old, 629 boys). Using self-reported questionnaires, our study found that,…

Individuals with autism increasingly enroll in universities, but little is known about predictors for their success. This study developed predictive models for the academic success of autistic bachelor students (N = 101) in comparison to students with other health conditions (N = 2465) and students with no health conditions (N = 25,077). We…

In the profession of education, predicting students' academic success is an essential responsibility. This study introduces a novel methodology for predicting students' pass or fail outcome in certain courses. The system utilises academic, demographic, emotional, and VLE sequence information of students. Traditional prediction methods often…

The field of vocabulary instruction has witnessed the emergence of three models that operationalize the construct of elaborate processing and thus help predict the effectiveness of vocabulary learning activities: Involvement Load Hypothesis (ILH), Involvement Load Hypothesis Plus (ILH Plus), and Technique Feature Analysis (TFA). However, no…

Questionnaires inquiring about psychopathology symptoms often produce data with excess zeros or the equivalent (e.g., none, never, and not at all). This type of zero inflation is especially common in nonclinical samples in which many people do not exhibit psychopathology, and if unaccounted for, can result in biased parameter estimates when…

Blended Learning (BL) has been implemented by lecturers in higher educations for promoting effective pedagogical practices. However, intention to use and actual usage of BL by lecturers in higher education seems to be a major setback for successful BL implementation. Therefore, this study developed a model to examine the factors that influences…

Traditionally, students' various educational characteristics are evaluated according to the grades they get or the results of their answers to the scales. There are some limitations in making an evaluation based on the results. The fuzzy logic approach, which tries to eliminate these limitations, has recently been used in the field of education.…

A neurological disorder, along with several behavioral issues, may be to blame for a child's subpar performance in the academic journey (such as anxiety, depression, learning disorders, and irritability). These symptoms can be used to diagnose children with ASD, and supervised machine learning models can help differentiate between ASD traits and…

Background: Attrition of engineering students continues to be a concern in higher education. Despite indications that students who opt to leave engineering programs may go on to make meaningful contributions in other fields more aligned to their interests, it remains essential to support those who choose to stay in engineering with the necessary…

We tested the social-cognitive model of career self-management (CSM) using a longitudinal design. Participants were 575 college athletes who completed career exploration, career decisions, career self-efficacy, career barriers, career goals, and learning experience scales. The data were statistically analyzed using structural equation modeling and…

We consider the problem of assessing the changing performance levels of individual students as they go through online courses. This student performance modeling problem is a critical step for building adaptive online teaching systems. Specifically, we conduct a study of how to utilize various types and large amounts of log data from earlier…

Encouraging teachers to reflect on their instructional practices and course design has been shown to be an effective means of improving instruction and student learning. However, the process of encouraging reflection is difficult; reflection requires quality data, thoughtful analysis, and contextualized interpretation. Because of this, research on…

Purpose: Considering the importance of employee performance in the changes in state higher education institutions, this study aims to conceptualize the mediating role of employee engagement and empowerment in predicting employee performance. Design/methodology/approach: The study uses a quantitative survey method to collect data from staff members…