The editors of a recent special edition of "Qualitative Studies in Education" map a new field of post-qualitative research and raise fundamental questions about core concepts such as "method" and "data." They ask whether qualitative inquiry as we know it is any longer possible if we understand language, the human and…

This paper investigates how first-year engineering undergraduates and their instructors describe the potential for learning analytics approaches to contribute to student success. Results of qualitative data collection in a first-year engineering course indicated that both students and instructors emphasized a preference for learning analytics…

The Common Core State Standards (CCSS) potentially shifts the way US schools approach teaching and learning. Research suggests that it is important to understand how educators view the CCSS and how they believe the CCSS may impact their practice. We developed and tested an instrument to investigate educator beliefs about the implementation of…

This case involves actual data from a student managed café that serves as a learning laboratory for a college of business. The student team that manages the café has never had access to precise data from a point of sale system until this semester. However, once they downloaded the raw data from the cash register they were unable to make sense of…

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…

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…

This article reports findings from a diverse third grade classroom that integrates a literacy through photography (LTP) curriculum as a central component of writing instruction in an urban public school. A case study approach was used in order to provide an in-depth, multi-dimensional consideration of phenomena by drawing on multiple data sources…

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 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…

People providing services to schools, teachers, and students want to know whether these services are effective. With that knowledge, a project director can expand services that work well and adjust implementation of activities that are not working as expected. When finding that an innovative strategy benefits students, a project director might…

User clustering algorithms have been introduced to analyze users' learning behaviors and help to provide personalized learning guides in traditional Web-based learning systems. However, the explicit and implicit coupled interactions, which means the correlations between user attributes generated from learning actions, are not considered in these…

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,…

While Educational Data Mining research has traditionally emphasized the practical aspects of learner modeling, such as predictive modeling, estimating students knowledge, and informing adaptive instruction, in the current study, we argue that Educational Data Mining can also be used to test and improve our fundamental theories of human learning.…

Effectively measuring short-term impact, particularly a change in knowledge resulting from Extension programming, can prove to be challenging. Clicker-based technology, when used properly, is one alternative that may allow educators to better evaluate this aspect of the logic model. While the potential interface between clicker technology and…