The performance history of 277 students in clothing and textile from two tertiary institutions in southern Nigeria was studied by artificial neural networks (ANN) and analysis of variance (ANOVA) in terms of institution, gender, ordinary level (O-level) qualification, marital status, and age. The study was guided by five research questions and…

The aim of this work is to provide data-driven insights regarding the factors behind dropouts in Higher Education and their impact over time. To this end, we analyzed students' data collected by a Higher Education Institute over the last 11 years and we explored how socio-economic and academic changes may have impacted student dropouts and how…

Course grades, as an indicator of academic performance, are a primary academic concern at the secondary school level and have been associated with various aspects of mental health status. The purpose of this study is to simultaneously assess whether symptoms of mental illness (depression and anxiety) and mental well-being (psychosocial well-being)…

Problematic gaming behavior is an important problem that may lead to a recently introduced psychiatric condition named internet gaming disorder (IGD). Gaming addiction has been reported to have major influence on the lives of adolescents and young adults affected by it. Our aim was to determine relationships between gaming-related parameters,…

The study aimed to assess the relationship among epistemological beliefs, learning styles, learning approaches and achievement of the University students. One hundred University students participated and responded the Epistemological Belief Questionnaires (EVQ) and Learning Style Inventory (LSI), and MANOVA used to find out the relationship among…

In this study, 7 items were used to define a composite variable that measures the perceived effectiveness of student conduct systems. Multivariate Analysis of Variance (MANOVA) was used to test the relationship between perceived level of system effectiveness and self-reported student learning. In the analyses, 49% of the variance in reported…

The purpose of this study was to identify the multilevel latent classes for reading, mathematics, and science success of the students, who participated in the Programme for International Student Assessment (PISA) 2012 from Turkey and to determine the predictive ability of: i) students' perseverance; ii) their openness to problem solving; iii)…

As both universities and students demonstrate an increasing interest in offering and taking online courses, a better understanding of the causes of student outcomes, such as student achievement has become increasingly important. Exploring the causes of varying rates of student success in online courses of higher education is an ongoing challenge…

Although some attention has been given to student issues at university, the literature on the relationship between social connectedness, achievement motivation and emotional-social learning with student adjustment is relatively limited. Therefore, this study investigates the impact of social connectedness, achievement motivation and…

Researchers have demonstrated the influence of the perceived efficacy of a conduct system on student learning (King, 2012; Stimpson & Janosik, 2015). Multivariate Analysis of Variance (MANOVA) was used to test the relationship between perceived level of conduct system efficacy, institutional culture, and self-reported student learning. More…

Purpose: The purpose of this study was to find out primary school students' basic process skills (BPSs) in terms of select variables. In addition, this study aims to investigate the relationship between BPSs and academic achievement. Research Methods: The study had a survey design and was conducted with 1272 primary school students. The study data…

Despite a surge of empirical work on student participation in online learning environments, the causal links between the learning-related factors and processes with the desired learning outcomes remain unexplored. This study presents a systematic literature review of approaches to model learning in Massive Open Online Courses offering an analysis…

Noncognitive factors, such as academic self-efficacy, motivation, and sense of belonging, predict college students' academic performance and retention. It is unclear if varying profiles of academic mindset are differentially associated with student success. We examined first-year college students' academic mindsets (perceived academic…

The current study explored the differential influences that behavioral learning strategies (i.e., cognitive-metacognitive, resource management), motivational profiles, and academic anxiety appraisals have on college-level learners in two unique learning contexts. Using multivariate analysis of variance and discriminant analysis, the study first…

The primary purpose of this study was to collect evidence on the construct validity of grit using convergent, discriminant, and predictive validity principles. To accomplish this purpose and extend previous research on grit, college students from two schools completed an instrument comprised of a cognitive ability test, and a questionnaire. The…