University students are often depicted as carefree young adults; however, many students struggle to manage the "normal" stresses of university life and may experience high rates of psychological distress. This study compared a traditional delivery model to a shorter delivery model (i.e., the Southern Cross Model) in terms of students'…

This article examines the work of predictive analytics in shaping the social worlds in which they thrive, and in particular the world of the first year of Great State University's student success initiative. Specifically, this article investigates the following research paradox: predictive analytics, as driven by a logic premised on predicting the…

The relationship between time preference and high school students' career choices was analyzed using the cross-lagged effects model. A significant relationship was found between time preference in the first year of high school and educational expectations in April of the third year. Furthermore, time preference in the first year of high school was…

An exploratory sequential mixed-method study is designed to develop and test a comprehensive model explaining the relationships between factors associated with smartphone addiction and high school students' academic achievement. Involving two main phases of qualitative and quantitative, focus group discussions with high school students and…

In the educational landscape, educational data mining has emerged as an indispensable tool for institutions seeking to deliver exceptional and high-quality education. However, education data revealed suboptimal academic performance among a significant portion of the student population, which consequently resulted in delayed graduation. This…

School leaders Lydia Cochrane and Ayesha Hoda have struggled to meet the increasingly complex needs of the students in their schools. As students' needs increase, schools are asked to do more and more, while continuing to have strong academic results. Cochrane and Hoda believe the current system is untenable and needs to change. With Linda Nathan,…

In this article, we propose a new model of student workload. We conducted an extensive literature review of student workload, its impact on students' lives, factors influencing student workload, objective and subjective measurements. The previous conceptualizations of student workload conflate student work and course workload, two related but…

Previous research has shown that three comparison types are involved in the formation of students' academic self-concepts: social comparisons (where students compare their achievement with their classmates), dimensional comparisons (where students compare their achievement in different subjects), and temporal comparisons (where students compare…

The grades of students have been shown to severely decrease during the transition from high school to university. Although past findings have shown that procrastination negatively relates to academic achievement, no study has examined the influence of procrastination on the grade trajectory of students during this critical academic transition.…

While prior research has shown higher mindfulness is associated with lower problematic smartphone use (PSU), the contexts of these studies were not related to education or student performance. As such, whether and how mindfulness can reduce the adverse effects of PSU on academic self-efficacy remains unknown. This study proposed a model for…

Much of learning analytics research has focused on factors influencing model generalizability of predictive models for academic performance. The degree of model generalizability across courses may depend on aspects, such as the similarity of the course setup, course material, the student cohort, or the teacher. Which of these contextual factors…

The early detection of students' academic performance or final grades helps instructors prepare their online courses. In the Open University Learning Analytics Dataset, I found many online students clicked the course materials before the first day of class. This study aims to investigate how data mining models can use this student interaction data…

This work proposes a dropout prediction approach that is able to self-adjust their outcomes at any moment of a degree program timeline. To that end, a rule-based classification technique was used to identify courses, grade thresholds and other attributes that have a high influence on the dropout behavior. This approach, which is generic so that it…

Effectively predicting academic success is essential for providing students with the resources they need to succeed in their careers and for matching individuals to postsecondary institutions that suit their needs. Despite evidence for ACT scores as meaningful predictors of both first-year grade point average (FYGPA) and degree completion, little…

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…