This paper describes a neural network model that can be used to detect at- risk students failing a particular course using only grade book data from a learning management system. By analyzing data extracted from the learning management system at the end of week 5, the model can predict with an accuracy of 88% whether the student will pass or fail…

The purpose of this paper is to extend and evaluate methods of "Bayesian historical borrowing" applied to longitudinal data with a focus on parameter recovery and predictive performance. Bayesian historical borrowing allows researchers to utilize information from previous data sources and to adjust the extent of borrowing based on the…

This paper investigates the core curricula of Information Systems (IS) master's programs. It examines all 532 AACSB-accredited business schools in the United States and identifies 74 IS master's programs. MSIS 2016 and other curricular models and studies are used in a research framework to survey core courses. The top three required courses are…

Recognizing the crisis the COVID-19 pandemic represents to the Home- and Community-Based Services (HCBS) service system and the health, safety, and quality of life of people with intellectual and developmental disabilities (IDD), states temporarily amended their HCBS programs to strengthen service delivery. States are able to temporarily amend…

The Occupation-Centered Intervention Assessment (OCIA) was developed as a reflective tool for students to improve their comprehension of occupation-centered practice. Finding new and innovative ways to incorporate occupation-centered assignments can serve as a strategy to develop student integration of occupation-centered practice and allow…

The need for data-driven decision-making primarily motivates interest in analysing Big Data in higher education. Although there has been considerable research on the value of Big Data in higher education, its application to address critical issues within the sector is still limited. This systematic review, conducted in December 2021 and…

Purpose: In light of a need for more critical education about datafication, this paper aims to develop a framework for critical datafication literacy that is grounded in theoretical and empirical research. The framework draws upon existing critical data literacies, an in-depth analysis of three well-established educational approaches - media…

This study explores the extent to which college context (two- vs. four-year), gender, and race/ethnicity correlated with worsening course outcomes during emergency remote teaching during the COVID-19 pandemic, by comparing outcomes within students between the fall 2019 pre-pandemic and spring 2020 pandemic terms. In particular, it explores the…

The paper delves into social media mining in the context of medical education programs in the information age. It explores the adaptability of Social Media Analytics (SMA) apps within the structure of online courses in medicine and proposes a conceptual framework for a learning process. This process includes practical exercises based on search and…

In response to the heavy demand for business analysts in various industries, many universities have developed business analyticsrelated courses and programs, which aim to develop a competent labor force that can help companies make sense of business data and generate sustainable competitive advantages. Ensuring high levels of student success in…

We consider Bayesian estimation of a hierarchical linear model (HLM) from small sample sizes. The continuous response Y and covariates C are partially observed and assumed missing at random. With C having linear effects, the HLM may be efficiently estimated by available methods. When C includes cluster-level covariates having interactive or other…

Retention, persistence, and academic achievement for first-generation students have become increasingly prevalent with increasing access to higher education. Beyond access, the most discernible challenge relates to their identity as a first-generation college student and the lack of mentorship from their parents in navigating the college…

This study examines the current research on educational data mining, educational learning support services, personalized learning services, and personalized learning paths in education. The authors aim to integrate personalized learning concepts into traditional support services by drawing on the latest theoretical and practical research. Using…

Within the eukaryotic cell, the actin cytoskeleton is a crucial structural framework that maintains cellular form, regulates cell movement and division, and facilitates the internal transportation of proteins and organelles. External cues induce alterations in the actin cytoskeleton primarily through the activation of Rho GTPases, which then bind…

We contribute to the higher education returns discourse by examining perceptions among college graduates. Using 2021 U.S. Survey of Household Economics of Decisionmaking data, we observe that over 80% of degree holders perceive that they received positive financial returns from college, while only 7% of college degree holders regret their decision…