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…

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…

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…

In this paper, we present an extended evaluation of a course recommender system designed to support students who struggle in the first semesters of their studies and are at risk of dropping out. The system, which was developed in earlier work using a student-centered design and which is based on the explainable k-nearest neighbor algorithm,…

Computer-based virtual learning environments (CBVLEs) are potentially useful teaching tools for training nursing students in professional duties such as the mathematical tasks associated with medication processes. In this study, a CBVLE was designed with well-structured instructional activities such as interleaved practice and feedback.…

Using data from two Toronto student cohorts that entered high school five years apart, this study uses descriptive and multivariate techniques to examine short-term change in the predictors of four possible pathways after high school: confirming a place in university, confirming a place in college, applying but no admittance, or not applying at…

The purpose of the study was to predict academic achievement of distance learners from Locus of Control. The study was delimited to teacher education Programs (M.A., M.Ed and B.Ed) offered by universities of Pakistan through distance learning mode. A total number of 1513 students was selected through stratified sampling technique. The Nowicki-Duke…

Developing tools to support students and learning in a traditional or online setting is a significant task in today's educational environment. The initial steps towards enabling such technologies using machine learning techniques focused on predicting the student's performance in terms of the achieved grades. The disadvantage of these approaches…

Using an educational data mining approach, first-year academic achievement of undergraduate nursing students, which included two compulsory courses in introductory human anatomy and physiology, was compared with achievement in a final semester course that transitioned students into the workplace. We hypothesized that students could be grouped…

Mathematics teachers often give cumulative final exams, but little research has been done on the effects that cumulative exams given throughout the semester have on student grades and content knowledge. This study went beyond a cumulative final exam, and investigated the benefits of cumulative versus non-cumulative semester exams on students'…

Recent research has shown that, in a university context, mastery goals are highly valued and that students may endorse these goals either because they believe in their utility (i.e., social utility), in which case mastery goals are positively linked to achievement, or to create a positive image of themselves (i.e., social desirability), in which…

This Innovative Practice Category Work In Progress paper presents an application of machine learning and data mining to student performance data in an undergraduate electrical engineering program. We are developing an analytical approach to enhance retention in the program especially among underrepresented groups. Our approach will provide…

The authors examine the dimensions and determinants of critical thinking skills, as measured by the California Critical Thinking Skills Test, among graduating senior students enrolled in an Association to Advance Collegiate Schools of Business-accredited undergraduate business program. Utilizing explanatory variables, a methodology for predicting…

Undergraduate student dropout is gradually becoming a global problem and the 39 Small Islands Developing States (SIDS) are no exception to this trend. The purpose of this research was to develop a method that can be used for early detection of students who are at-risk of performing poorly in their undergraduate studies. A sample of 279 students…

This study explores the value in using the difference between a student's predicted first-year grade point average (FYGPA), based on high school grade point average and SAT scores, and their observed FYGPA, namely, their FYGPA residual, as a tool in identifying those at risk for leaving an institution. Specifically, this study examined whether…