Objective: To conduct a preliminary cost-effectiveness analysis of collegiate recovery programs in the United States and to create a tailorable cost-effectiveness calculator based on the preliminary cost-effectiveness model. Methods: Cost-effectiveness was assessed with a base case, one-way sensitivity analyses, and probabilistic sensitivity…

Objective: Amidst the COVID-19 pandemic, colleges worked to minimize transmission through non-pharmaceutical interventions (NPIs). The objective of this study was to apply the Health Belief Model to assess correlates of US college students' early stage NPI uptake. Participants: Sample includes 1,223 students from a medium-sized university who…

Cultivating in preservice science teachers (PSTs) the competence required to teach scientific models and modeling is a valued outcome of teacher preparation programs. However, science teacher educators face inherent tensions when designing and implementing teacher preparation experiences to achieve this outcome. In this systematic review, we first…

College students in the 21st century face unprecedented levels of stress, which has led to a global and deleterious impact on their mental health. The mental health of college students is widely considered to be a public health crisis according to the World Health Organization (WHO), and universities are challenged to provide adequate resources…

With increasing costs of higher education, community college pathways to baccalaureate transfer degrees are attractive student alternatives to starting at a traditional four-year institution. However, disparate student outcomes, particularly for underserved student populations, continue to be a concern when considering equitable four-year degree…

The rate of college student mental health difficulties has been climbing, leading to overburdened college counseling centers. We propose the Holistic Prevention & Intervention Model (HPIM) as one solution in which campus and community resources work collaboratively to support students experiencing psychological distress and alleviate clinical…

The reasons for success and well-being, and therefore of inequality, are numerous. A large number of systemic factors influence who succeeds or fails, who is healthy or sick. These factors, many of which are hard to understand or measure, interact in important and surprising ways. In contrast, humans tend to choose simple explanations of the…

The intricacy of real-world challenges in project-based geoscience learning is complex to assess with a STEM approach; hence, research into an effective model is necessary to address current issues in education. Understanding the role of STEM in resolving challenging real-world issues requires integrating STEM literacy that is appropriate for…

Learning analytics intervention (LAI) studies aim to identify at-risk students early during an academic term using predictive models and facilitate educators to provide effective interventions to improve educational outcomes. A major impediment to the uptake of LAI is the lack of access to LAI infrastructure by educators to pilot LAI, which…

This research utilizes a unique, validated, multiple-choice exam design that allows researchers to observe and measure the degree to which students copy answers from their peers. Using data collected from the exam, this study investigates whether asking students to sign an honor code at the start of the exam reduced instances of cheating relative…

Dynamic assessment has been proven to effectively promote EFL learners' speaking proficiency, but its implementation in teaching speaking skills has been limited. One of the main reasons is that, thus far, very few studies have scrutinized the impacts of its two main models, interactionist and interventionist, on the speaking sub-skills of EFL…

Academic burnout seriously affects the academic performance and mental health of college students. This study developed a multi-mediation model to investigate the relationship between academic self-efficacy and academic burnout. A total of 1431 undergraduate students (51.85% female) were recruited to participate in this study. And we used SPSS…

We propose a novel approach to address the issue of college student attrition by developing a hybrid model that combines a structural neural network with a piecewise exponential model. This hybrid model not only shows the potential to robustly identify students who are at high risk of dropout, but also provides insights into which factors are most…

Individualization and iterative design are essential components of the assessment and treatment of challenging behavior. Currently, there are few validated frameworks for engaging in iterative processes. Due to the nature of single-case design, empirically rigorous evaluations of decision-tree processes are particularly prohibitive.…

Recent studies have identified an incomplete student understanding of how elastic rebound causes earthquakes. We hypothesized that realistic imaging of spatial patterns in ground motions over the course of the earthquake cycle would improve student understanding. Incorporating spatial change information in the form of both motion vectors and…