Purpose: The study aims to propose a predictive model that combines personality and demographic factors to predict student academic performance (SAP). This research study works on understanding, enhancing and applying techniques to enhance the prediction of SAP. Design/methodology/approach: The authors gathered information from 305 university…

The current research is the study of academic buoyancy in relation to emotional intelligence and parenting styles. Academic buoyancy is a strength in a student's life to deal with the routine problems in classroom study like low grades, negative feedback by teachers, and difficulties in understanding of concepts. For the studying the relationship…

Background/purpose: Low attendance rates in undergraduate (UG) programs represent a critical issue for higher education institutions (HEIs), as they directly impact both individual and institutional success. This study investigates the influence of moderating variables such as age and gender on the effect of student absenteeism on mathematics…

Purpose: This study aimed at identifying the prevalence of statistic anxiety among students in social sciences programs and analyzing the relationship between statistics anxiety and four key variables: attitude toward statistics, statistics self-efficacy, achievement in statistics and academic procrastination. Design/methodology/approach: Method a…

Purpose: Academic failure is seen as an educational challenge, and students are unable to adapt to the required academic skills that could foster academic success. Research on students' academic success and emotional support along the lines of moderation and mediation effects of resilience and self-regulation, especially among undergraduates in…

We explored the relationships among university student's gender, online learning engagement, attitudes toward online learning, readiness, and academic achievement in a public university. While previous research highlights the importance of these factors in online learning, their combined effects remain underexplored, particularly in the Nigerian…

This study aimed to examine the predictive validity of junior high students' grit (including perseverance of effort (PE) and consistency of interest (CI)) on their short-term and long-term academic achievements using a longitudinal survey design under the structural equation modeling framework. Data were collected on 236 junior high students…

This research aims to identify factors predicting pre-service technical teachers' academic performance in a technical teacher training context. This study employed a predictive correlational design. We developed the conceptual framework by combining previous research, and then created a survey to gather data. Between August 1 and August 30, 2022,…

This study aimed to investigate the predictive roles of gender and self-efficacy (academic, social, and emotional) on the academic resilience of adolescents. Participants consisted of 346 adolescents (227 girls and 119 boys). Data were collected through the Academic Resilience Scale, the Self-efficacy Scale for Children, and a demographic…

Education boosts any nation's economy. Sri Lankan higher education is competitive. Because only 15% of students who take the General Certificate Examination in Advanced Level (G.C.E A/L) are qualified to enter public universities, every student struggles to get into university. Some ineligible public college students attend private universities,…

Introduction: There is evidence of the relationship between the academic achievement of university students and the learning styles and strategies they use. However, there are inconsistencies between the results of the different studies on the topic, making it difficult to identifying a profile that would allow the prediction of high academic…

Study success in Higher Education is of primary importance in the European policy agenda. Yet, given the diverse educational landscape across countries and institutions, more coordinated action is needed to gain a more solid knowledge of the dropout phenomenon. This study aims to gain a better insight into students' dropout based on an integrated…

This study aims to employ the supervised machine learning algorithms to examine factors that negatively impacted academic performance among college students on probation (underperforming students). We used the Knowledge Discovery in Databases (KDD) methodology on a sample of N = 6514 college students spanning 11 years (from 2009 to 2019) provided…

This study investigated the mediation role of school absenteeism in the relationships between different types of amotivation and academic performance. Structural equation modeling (SEM) was used to assess the hypotheses of study. Participants were 311 eighth-grade middle school students who were absent from school for at least three days during…

Purpose: Students' performance in academic settings, to a great extent, is an outcome of personal determinants of individuals. So, it becomes necessary to understand the role of personality traits in gaining desired academic outcomes. This investigation attempts to study some selected personality traits' contribution to students' self-efficacy and…