This paper introduces institutional ethnography (IE) as a useful and systematic process for examining organizations and work data through the lens of stakeholders, at different levels, and considering the different forces at play. Drawing from ethnomethodology, IE focuses on how everyday experience is socially organized. Ideological shifts have…

Effective strategic enrollment management (SEM) efforts require vast amounts of internal and external data to ensure that meaningful reporting and analysis systems can assist managers in decision making. A wide range of information is integral for leading effective and efficient student recruitment and retention programs. This article is designed…

The Academic Pathway Study (APS) research program within National Science Foundation (NSF) Center for Advancement of Engineering Education (CAEE) ran from 2003-2010. It amassed a collection of longitudinal as well as cross-sectional data sets, of varying research method types and formats, from four different primary cohorts that included over…

Background: Dysphagia is often a comorbidity in patients who require a tracheostomy, yet little is known about patterns of oral intake commencement in tracheostomized patients, or how patterns may vary depending on the clinical population and/or reason for tracheostomy insertion. Aims: To document patterns of clinical management around the…

In this paper, we address issues of transparency, modularity, and privacy with the introduction of an open source, web-based data repository and analysis tool tailored to the Massive Open Online Course community. The tool integrates data request/authorization and distribution workflow features as well as provides a simple analytics module upload…

This publication provides a summary of data relating to students, programs, subjects, and training providers in Australia's government-funded vocational education and training (VET) system. This is broadly defined as all activity delivered by government providers and government-funded activity delivered by community education and other registered…

This 2016 document is designed to provide state Part C staff with guidance on using fiscal data to analyze and revise their allocation methodology. Allocation methodology is the process -- including practices, strategies, procedures, and policies -- used by Part C state staff to equitably distribute funds to meet the needs of the system, including…

With a goal of better understanding the online discourse within the Massive Open Online Course (MOOC) context, this paper presents an open source visualisation dashboard developed to identify and classify emergent discussion topics (or themes). As an extension to the authors' previous work in identifying key topics from MOOC discussion contents,…

This tool and its supporting resources are intended to help education leaders understand and assess equitable access data to support a root-cause analysis and, ultimately, draft a State Plan to Ensure Equitable Access to Excellent Educators. The activities in this tool introduce metrics, address staff capacity for analyzing equitable access data,…

The present study evaluated the effects of web-based training on Spanish pre-service and in-service teacher knowledge and implicit beliefs on learning to write. A sample of pre-service teachers and in-service teachers from Mexico, Guatemala, Ecuador, Colombia, and Spain participated in the online course. Findings suggest that teachers may improve…

In surveys, proportions of individuals self-reporting as bisexual and homosexual are likely to suffer from misreports or refusal to answer when directly questioned. For more reliable information, the randomized response technique is often used. Therefore, to reduce social desirability bias, a multi-level randomized response technique has been used…

In the age of big data and analytics, it is important that students learn about artificial intelligence (AI) and machine learning (ML). Machine learning is a discipline that focuses on building a computer system that can improve itself using experience. ML models can be used to detect patterns from data and recommend strategic marketing actions.…

Organizational patterns can serve as a teaching strategy for instructors and as a learning tool for students to develop their expository writing skills, which are commonly required for assignments (for example, laboratory reports and research papers) in Food Science courses and in their future careers. The article discusses the importance of…

Increased value is placed on students having real-world learning experiences. Application classes such as Digital Marketing provide the opportunity for students to achieve this experience. Employers place value with employees having both hard skills and soft skills. To support learning both hard and soft skills, the Enterprise Marketing Variation…

This study takes a step toward using data-driven instruction (i.e., using data to guide instructional choices) in the accounting classroom: Evaluating which students are most likely to struggle in the first course of accounting. More specifically, it evaluates the correlations between four constructs (i.e., academic background, grit, attendance,…