While language anxiety is known to be a strong predictor of the second language (L2) achievement for decades, there has been a relative lack of empirical attention to establishing which one - anxiety or achievement - influences the other. The present study, based on a cross-lagged panel analysis, examined the causal relationships between language…

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…

This study explores the effectiveness of machine learning and eye movement features in predicting Chinese reading proficiency. Unlike previous research, which focused on one or two specific levels of eye movement features, this study integrates passage-, sentence- and word-level eye movement features to predict reading proficiency. By analyzing…

This study offers a novel approach to evaluating the predictors of first-year grade point average (FYGPA) in college by using multiple imputation and dominance analysis to compare high school GPA (HSGPA), ACT® test score, and demographic factors. Unlike previous research that typically relied on single regression models, this study reveals more…

Problem: Online learning is a form of distance education that occurs via the Internet (Adams, 2004; Carliner, 1999). The success of online learning depends on student-related factors such as acceptance, willingness, and motivation (Almaiah et al., 2019; Almaiah et al., 2020). When online learning systems are not utilized, students cannot realize…

The purpose of this study sought to examine how midterm math performance can impact a student's final math performance, STEM performance, overall performance, as well as retention and graduation with a STEM major. The sample consisted of 283 first-time full-time undergraduate students who were admitted in Fall 2014 as STEM majors within a liberal…

In the traditional teaching mode, it is difficult for teachers to have a comprehensive understanding of each student's study, and it is also hard for them to provide targeted guidance and assistance. With the development of data collection and analysis technology, schools and educational institutions can make better use of big data technology to…

Grit, defined as perseverance and passion for long-term goals, has garnered attention in educational research for its potential to predict academic achievement and well-being. Despite this, its psychometric properties and applicability across diverse populations remain underexplored. This study aims to validate the Grit-O scale and explore its…

In this paper, we report an exploratory investigation of the types of assessment in a variety of high school subjects that best predicted subsequent success at university in those subjects. In social sciences and the humanities, internal (school-based) assessment was a better predictor of university success than external, examination-based…

Whether the current post-16 qualifications system in the UK is fit for purpose has long been under discussion, with many calling for a broader, more interdisciplinary approach to preparation for university. This paper examines the relationship between post-16 (A-level) qualifications and degree success for students on the University of Exeter's…

Noncognitive constructs such as self-efficacy, social awareness, and academic engagement are widely acknowledged as critical components of human capital, but systematic data collection on such skills in school systems is complicated by conceptual ambiguities, measurement challenges and resource constraints. This study addresses this issue by…

This quantitative study examined the proportions of students enrolling in and completing transfer-level math pre- and post-Assembly Bill 705 (AB 705), as well as different predictors affecting the completion of transfer-level math within the first year. The study drew attention to the relationship between students' race/ethnicity and the…

Purpose: The present study undertook an empirical investigation of entrepreneurship education, self-efficacy, need for achievement and entrepreneurial intention among Pakistan's commerce students. Design/methodology/approach: The authors applied quantitative methods based on cross-sectional data. The commerce students of the different public…

I show that there are better measures of student college performance than grade point average (GPA) by undertaking a fine-grained empirical investigation of grading within a large public university. The value of using GPA as a measure of comparative performance is undermined by academically weaker students taking courses where the grading is more…

Background: Student persistence in undergraduate engineering majors often depends on how they perform in foundational engineering courses. Although mastery of prerequisite knowledge affects how students perform in these courses, research suggests that achievement goal orientations and task-value and self-efficacy beliefs play prominent roles in…