This teaching case describes the functionality of a system employing IoT sensors to monitor part levels for a fictitious auto parts manufacturer. Data from the sensors are used to populate a centralized database and generate a dashboard for management. The system also generates tiered alerts to notify part runners and managers of pending part…

This article describes the use of literature to broaden students' skills in content comprehension, data analysis, modeling, and productive scientific discussion. The design builds on existing models to maximize student gains in ability, confidence, and postgraduate preparation. Course units are divided into 1-week modules consisting of three…

This paper interrogates the fundamental logic of data-driven decision-making (DDDM) as it has taken hold in education and argues for a critical analysis of data-driven education via an attitude of historical ontology. Though influenced by Foucault's understanding of this concept, I center Colin Koopman's recent analysis of the 'informational…

This study examined current social science qualitative and mixed methods research practices in the adoption and use of data management and analysis technology with three questions: 1) who uses technology for qualitative and mixed methods data analysis? 2) what can be learned by knowing who these researchers are? and, 3) how might current…

Public administration is struggling to contend with a substantial shift in practice fueled by the accelerating adoption of information technology. New skills, competencies and pedagogies are required by the field to help overcome the data-skills gap. As a means to address these deficiencies, we introduce the Data Science Literacy Framework, a…

Despite the relative youth of bibliometric web platforms (Google Scholar was released in 2004), they play an increasingly significant role in the assessment of the impact of scholars and the research they produce. This scholarly essay provides a thorough review of the literature on bibliometric platforms, the extent to which they make available…

Learning Management Systems (LMS) are software applications that facilitate the management and monitoring of online teaching courses and/or training programs, workshops, webinars, forums, and other similar learning activities. The LMS provides learning and teaching benefits and possibilities for synchronous, asynchronous, and hybrid training. For…

Instructors at postsecondary institutions have designed a myriad of data science classes to keep up with the rise of big data. Businesses and companies have become increasingly interested in hiring people with strong data acquisition, management, and communication skills. Since data science as a field of study is relatively new, though it has deep…

This work explores how population-based engagement prediction can address cold-start at scale in large learning resource collections. The paper introduces: (1) VLE, a novel dataset that consists of content and video based features extracted from publicly available scientific video lectures coupled with implicit and explicit signals related to…

We assessed whether an adaptation of value-added analysis (VAA) can provide evidence on the relative effectiveness of interventions implemented in a large school district. We analyzed two datasets, one documenting interventions received by underperforming students, and one documenting interventions received by students in schools benefiting from…

This article-format dissertation focuses on how scholars use social media to support their scholarship. The first article is a scoping literature review that outlines current research. While overviewing an emergent field of literature, the article highlights motivations for using social media use, discusses benefits and drawbacks of this use for…

We assessed whether an adaptation of value-added analysis (VAA) can provide evidence on the relative effectiveness of interventions implemented in a large school district. We analyzed two datasets, one documenting interventions received by underperforming students, and one documenting interventions received by students in schools benefiting from…

A growing literature uses value-added (VA) models to quantify principals' contributions to improving student outcomes. Principal VA is typically estimated using a connected networks model that includes both principal and school fixed effects (FE) to isolate principal effectiveness from fixed school factors that principals cannot control. While…

Introduction: During systematic reviews, data abstraction is labor- and time-intensive and error-prone. Existing data abstraction systems do not track specific locations and contexts of abstracted information. To address this limitation, we developed a software application, the Data Abstraction Assistant (DAA) and surveyed early users about their…

In recent years, there has been an explosion in the demand for personnel with analytics skills. Given that the demand for this skill set cuts across so many disciplines, it is a useful addition to any major and an ideal candidate as an academic minor. Furthermore, as the underlying analytics tools and techniques used by data analysts emerged…