Colleges and universities have implemented a broad range of initiatives to support student success. Problem solving courses and course supplements are one approach. Evaluation of these courses has shown positive outcomes in terms of improved academic performance and other benefits. A number of these studies have also reported the largest positive…

Planning course study is critical to facilitate strategic intervention in education. As a significant basis of planning course study, student performance prediction aims to utilize students existing relevant information to predict their future learning performance including course grades, course failure, grade point average, etc. We target course…

With the advent of smartphones and fourth generation mobile technologies, the effect of social media on society has stirred up some debate and researchers across various disciplines have drawn different conclusions. Social media provides university students with a convenient platform to create and share educational content. However, social media…

The purpose of this quantitative study is to examine the implementation of the NAF career academy model among the four NAF academies at North Baton Rouge Preparatory and investigate whether there is a significant difference among each academy's student performance outcomes. This study utilized master schedules, implementation plans, and academic…

We sought to replicate prior findings that admissions tests' underprediction of female college performance was driven in part by the omission of Big 5 personality factors from the predictive model, using 5,400 college students. We investigated gender differences in an elaborated model subdividing the Big 5 into ten aspects. We found differences at…

Higher education institutions face heightened accountability for student success. As such, higher education relies heavily on big data to predict student outcomes. This process is problematic because predictive models are developed on historical data, are deficit based, and are focused on student factors, neglecting institutional factors. The…

There is a growing interest on the role of noncognitive factors such as personality traits and implicit beliefs in accounting for individual differences in academic performance. Autonomy support from primary socializing agents too is an important tool for enhancing student motivation and other learning outcomes. In this study, we tested a model…

Increasing productivity in educational systems is of great importance. Researchers are keen to predict the academic performance of students; this is done to enhance the overall productivity of educational system by effectively identifying students whose performance is below average. This universal concern has been combined with data science…

This paper explores how fairness was conceptualised by those responsible for admission to highly selective undergraduate courses at 17 universities in England. Fairness was conceptualised principally with reference to the traditional "meritocratic equality of opportunity" paradigm, which holds that university places should go to the most…

Despite the overwhelming evidence that higher education data are nested at various levels, single-level techniques such as regression and analysis of variance are commonly used to investigate student outcomes. This is problematic as a mismatch in methodology and research questions can lead to biased parameter estimates. The purpose of this study…

Student grade prediction is a popular task for learning analytics, given grades are the traditional form of student performance. However, no matter the learning environment, student background, or domain content, there are things in common across most experiences in learning. In most previous machine learning models, previous grades are considered…

In the present paper, we investigated the link between stereotype threat, school achievement, and domain identification in language arts. We hypothesized that stereotype threat may lead to higher intellectual helplessness, lower working memory capacity, lower achievement, and domain identification but only in young men highly identified with their…

When college-based service learning is examined, outcomes are often analyzed in a univariate framework, and participants tend to be White and middle class (if demographic information is given). This examination is a survey of 198 students who were primarily underrepresented and misrepresented students attending a Hispanic Serving Institution. The…

The purpose of this research was to examine the relationship between selected factors from two of the domains within the Socio-Ecological Outcomes (SEO) model as defined by Wood and Harris (2013) and African American male community college students' academic success. Namely, this study assessed whether any relationships existed among the selected…

Critical thinking is necessary for academic success in higher education. Hence, universities seek various ways to integrate it in the programs to enhance the productivity of their graduates. This study presents the development of a predictive model for critical thinking ability using a combination of background, demographic, and psycho-educational…