Abstract Many higher education institutions are calling for more experiential learning to improve learning outcomes and better prepare students for the workplace. The need for enhanced experiential education in business schools, and in the decision sciences, is especially important. However, there is a lack of common practical understanding of how…

This work is the fourth of a series of papers applying multidimensional item response theory (MIRT) to widely used physics conceptual assessments. This study applies MIRT analysis using both exploratory and confirmatory methods to the Brief Electricity and Magnetism Assessment (BEMA) to explore the assessment's structure and to determine a…

This case is designed to be used in business analytics courses; particularly those that emphasize predictive analytics. Students are given background information on money laundering and data from People's United Bank, a regional bank in the northeast United States. The students must develop their hypothesis, analyze the data, develop and optimize…

Creativity has emerged as an important 21st-century competency. Although it is traditionally associated with arts and literature, it can also be developed as part of computing education. Therefore, this article presents a systematic mapping of approaches for assessing creativity based on the analysis of computer programs created by the students.…

The use of technology in education has become an urgent necessity and is no longer a luxury. This is evident through the attachment of students to their tablets, mobile phones, and other forms of various technologies. Therefore, educational institutions, especially universities and higher education institutions, must think according to the age…

A new technique to teach language grammar is proposed. It consists of the blending of two previously existing techniques--VanPatten's (1996) Processing Instruction (PI) and Adair-Hauck and Donato's (2002) Presentation, Attention, Co-construct, and Extension (PACE) Model. The result is the S-PACE Model, which incorporates the whole-language…

Business schools can meet the increasingly multidisciplinary requirements of training cybersecurity professionals. But in developing curriculums, they face different cybersecurity curricular frameworks with diverse emphases. Using a meta-framework consisting of a 2x3 model and a 2x2 model, this study examines ten cybersecurity curricular…

Two of the teachers' knowledge models most widely used in the literature are the Mathematical Knowledge for Teaching (MKT) and the Knowledge Quartet (KQ). We develop an analysis of the limitations of the knowledge required for teaching problem-solving published during 1990-2018 which includes these models. This analysis revealed that MKT takes…

Purpose: During the COVID-19 pandemic, educational institutions were forced to shut down, causing massive disruption of the education system. This paper aims to determine the critical factors for the intention to participate in e-learning during COVID-19. Design/methodology/approach: Data were collected by surveying 131 university students and…

This article details the process of recruiting and starting a cohort to prepare Latinx school administrators to fill impending positions in the Charlotte-Mecklenburg School district. The authors provide the context and steps of establishing the administrator preparation program.

Emotional management (EM) is a crucial skill for achieving relevant biopsychosocial goals, and there has been an increased demand for the effective measurement of EM ability. The current study aimed to explore the psychometric properties of the Portuguese version of the brief Situational Test of Emotional Management (STEM-B) using the item…

An estimated 1,400 colleges and universities nationwide have invested in predictive analytics technology to identify which students are at risk of failing courses or dropping out, with spending estimated in the hundreds of millions of dollars. How accurate and stable are those predictions? The authors put six predictive models to the test to gain…

Adaptive learning technology solutions often use a learner model to trace learning and make pedagogical decisions. The present research introduces a formalized methodology for specifying learner models, logistic knowledge tracing (LKT), that consolidates many extant learner modeling methods. The strength of LKT is the specification of a symbolic…

This paper analyzed the role of students having a same-race teacher on a high school student's short- and long-term outcomes. How is a student's academic achievement affected in the classroom with a same-race teacher and how is their likelihood of attending college changed by having a same-race teacher? Race-matching improves Black and Asian…

Open-ended questions in mathematics are commonly used by teachers to monitor and assess students' deeper conceptual understanding of content. Student answers to these types of questions often exhibit a combination of language, drawn diagrams and tables, and mathematical formulas and expressions that supply teachers with insight into the processes…