The aim of the study was to examine self-motivation and study ethics as predictors of academic achievement among undergraduates in a Nigerian University. The study employed the correlation research design in the quantitative approach. Purposive sampling technique was used to draw a sample of 320 students out of which 228 students consented and…

Academic dropout remains a significant challenge for education systems, necessitating rigorous analysis and targeted interventions. This study employs machine learning techniques, specifically random forest (RF) and feature tokenizer transformer (FTT), to predict academic attrition. Utilizing a comprehensive dataset of over 40 000 students from an…

In recent times, Educational Data Mining and Learning Analytics have been abundantly used to model decision-making to improve teaching/learning ecosystems. However, the adaptation of student models in different domains/courses needs a balance between the generalization and context specificity to reduce the redundancy in creating domain-specific…

Given the rapid growth of K-12 online learning, research is needed in the effective identification of at-risk students so that administrators and teachers can develop appropriate supports and interventions. The purpose of this research was to determine if student success in an online course could be predicted for English Learners (EL) using…

Having a job immediately after graduation is the dream of every IT graduate. However, not everyone can achieve this outcome. The study's primary goal is to develop predictive models to forecast IT graduates' chances of finding a job based on factors such as academic performance, socioeconomic status, academic habits, and demographic data.…

The gap in supply (i.e., shortage) and demand of the STEM workforce have prompted extensive research on identifying factors that predict STEM outcomes and retention of students. Few studies, however, have examined the relationships between STEM outcomes and predictors in an integrated model, taking into account measurement errors in the…

Teacher retention is a foundational issue and schools have historically struggled to retain teachers. Previous research indicates that teachers leave the profession at high rates before year five of teaching expertise. Lack of teacher retention contributes to instability and lack of trust in school districts. This secondary data study explores…

Doing assignments is a very important part of learning. Students' assignment submission time provides valuable information on study attitudes and habits which strongly correlate with academic performance. However, the number of assignments and their submission deadlines vary among university courses, making it hard to use assignment submission…

Purpose: This study examined predictors of cumulative grade point average (GPA) from entrance scores and successive performance during students' academic work in university engineering programs. Design/methodology/approach: Scores from high school coursework, the General Ability Test and the Achievement Test were examined to determine if these…

The self-regulation and self-efficacy beliefs have a major effect on English language learning achievement. This study examines if self-regulatory learning strategies and English self-efficacy beliefs significantly predicted learning achievement in learning English. 542 ninth grade students studying at ten different Vocational and Technical…

Purpose: This study aims to investigate the feasibility of developing general predictive models for using the learning management system (LMS) data to predict student performances in various courses. The authors focused on examining three practical but important questions: are there a common set of student activity variables that predict student…

A growing body of research demonstrates that school climate is associated with adolescent mental health. Much of the extant literature have focused on identifying risk factors for adverse mental health outcomes, whereas much less work has been done examining factors that are important to foster adolescents' strengths and thereby increase the…

This study aims to determine the levels of teacher and trainer candidates in the university education process, in line with the findings obtained in the dimensions of professional anxiety and self-efficacy and their sub-dimensions as a result of examining the professional anxiety and self-efficacy perceptions of teacher and trainer candidates. In…

Modern educational technology has the potential to support students to use their study time more effectively. Learning analytics can indicate relevant individual differences between learners, which adaptive learning systems can use to tailor the learning experience to individual learners. For fact learning, cognitive models of human memory are…

Arkansas has identified college and career readiness indicators for schools that can be used to monitor students' performance and to improve their postsecondary readiness and success. Using two cohorts of grade 6 students, this study examined the extent to which Arkansas's middle school and high school indicators of postsecondary readiness predict…