In the precalculus curriculum, logistic growth generally appears in either a discrete or continuous setting. These actually feature distinct versions of logistic growth, and textbooks rarely provide exposure to both. In this paper, we show how each approach can be improved by incorporating an aspect of the other, based on a little known synthesis…

The present study examined demographic and academic predictors of astronomy performance among a cohort of N=1909 community college students enrolled in astronomy courses in a large suburban community college during a four-year time frame, 2015-2019. The theoretical framework was based upon a deconstructive approach for predicting community college…

Effective disaster response requires time-critical decisions to get personnel and supplies to the right places as quickly as possible. Such operations are complicated by the need for coordination among multiple stakeholders. In this teaching brief, we describe a serious online game for humanitarian logistics courses called the "Disaster…

Purpose: The study provides an evaluation of the knowledge and skills importance covered in the degree of Logistics and Supply Chain Management (LSCM) as well as the knowledge and skills gap of graduates entry-level. Design/methodology/approach: The study used both descriptive and exploratory research designs. The study adopted a self-administered…

With the growing importance of the logistics industry and the increasing demand for logistics professionals with a bachelor's degree qualification, the government and industry in China have long been looking for ways to attract more logistics sub-degree students to pursue higher education. This article aims to provide insights into the factors…

There is an increasing demand to introduce Introductory Business Analytics (IBA) courses into undergraduate business education. Many real-world business contexts require predictive analytics to understand the determinants of a dichotomous outcome; hence, IBA courses should include binary logistic regression analysis. This article provides our…

Logistic regression is one of the most fundamental tools in predictive analytics. Graduate business analytics students are often familiarized with implementation of logistic regression using Python, R, SPSS, or other software packages. However, an understanding of the underlying maximum likelihood model and the mechanics of estimation are often…

The main objective of this article is to use the logistic regression model as one of the generalized linear models to determine some factors that influence academic tripping at the University of Tabuk. In this case, student status (tripped, non-tripped) is considered as a binary variable. The data of this article were collected using a survey…

This study represented dimensions from the diffusion of innovations theory and the community of inquiry model to explore the adoption of web-conferencing. It used logistic regression to model the likelihood of adopting web-conferencing in online teaching with data collected from 66 college online instructors. In the logistic regression analyses,…

Purpose: This study aims to present a conceptual framework aimed at promoting educational innovation in supply chain management and logistics (SCM&L). The framework can help to design active learning experiences regarding student learning outcomes that tackle current challenges in the discipline. Emphasizing the significance of linking…

Logistic regression (LoR) is a foundational supervised machine learning algorithm and yet, unlike linear regression, appears rarely taught early on, where analogy and proximity to linear regression would be an advantage. A random sample of 50 syllabi from undergraduate business statistics courses shows only two percent of the courses included LoR.…

This study investigates the impact of game-based learning (GBL), an increasingly popular educational approach, on the development of self-directed learning (SDL) skills in complex scenarios, particularly in undergraduate logistics education. A key component of the three year study is LOST (Logistics Education Simulator), a serious game platform,…

Biodiversity loss and rising global challenges are directly linked to the current climate crisis. Peoples' behaviors and lives are being negatively impacted daily, ushering in a new wave of physiological and emotional distress referred to as eco-anxiety, which is being experienced by young people. Urgent concerns for the need for environmental…

Purpose: This study aims to analyze the situation of Federal Universities (FUs) regarding compliance with the Sustainable Logistics Management Plan (PLS) Normative Instruction (NI) 10/2012, the adoption of which is compulsory for all agencies and entities of direct, autarchic and foundational public administration and dependent state-owned…

This study focuses on the disparities between the educational aspirations and expectations of high school students in the U.S., and explores why students do not expect to earn a bachelor's degree despite their aspirations. Using a national dataset and logistic/multinomial logistic regression analyses, the study identified the factors associated…