Advocating for your child with a disability can be a daunting task for any parent. When the parent is also a school district employee, determining whether advocacy could impact one's position as an employee becomes inherently problematic. Using a heuristic case study approach, this inquiry's intent is to understand the experiences, barriers, and…

Whereas much has been written about the role of resources and motivation for activating adolescents to become engaged citizens, less work considers the role that recruitment within schools might play in shaping youth civic engagement patterns. Drawing on interviews with over 100 high school students and over 40 school officials, our research…

This qualitative study focuses on capturing students' understanding two visualizations often utilized by learning analytics-based educational technologies: bar graphs, and line graphs. It is framed by Achievement Goal Theory--a prominent theory of students' academic motivation--and utilizes interviews (n = 60) to investigate how students at risk…

Despite abundant anecdotes and theories suggesting a causal effect of teachers' expectations on student outcomes, documenting its presence and size has been challenging. The reason is simple: positive correlations between what teachers expect and what students ultimately accomplish might simply result from teachers being skilled observers. In…

Big data analysis involves the examination of large sets of data in order to uncover patterns and trends. Within the social studies or history classroom, such analyses can be effective for gaining insights into historical trends over time or across geographical regions. For instance, using simple technology tools, students can perform word…

Single-period inventory models with uncertain demand are very well known in the business analytics community. Typically, such models are rule-based functions, or sets of functions, of one decision variable (order quantity) and one random variable (demand). In academics, the models are taught selectively and usually not completely. Students are…

Learning design has traditionally been thought of as an activity occurring prior to the presentation of a learning experience or a description of that activity. With the advent of near real-time data and new opportunities of representing the decisions and actions of learners in digital learning environments, learning designers can now apply…

This research predicts transfer readiness of student's characteristics and enrollment in CTE pathway; and most significantly addressed statewide CTE transfer students that meet the transfer requirements under CTE Taxonomy of program (TOP) code for students who transfer to a California State University (CSU), and Private or out-of-state university.…

Extension professionals can improve their use of social media as channels for extending programmatic efforts by maximizing target audience reach and engagement. We describe how implementation of a tool kit highlighting best practices for using social media improved Extension professionals' efforts to engage target audience members via social…

This article presents original research into International Baccalaureate international schools' directors in Western Europe, based on multiphase contact with six director participants over two years and employing an aspect of critical-phenomenology. Successful leadership in this context responds to market demands with a commodification of Anglo…

Policy makers and school leaders are perennially concerned with the capacity of the nation's public schools to recruit and retain highly skilled teachers. Over the past two decades, policy strategies including the federal No Child Left Behind Act and alternative pathways to teaching, as well as changes in the broader labor market, have altered the…

Multimodal learning analytics provides researchers new tools and techniques to capture different types of data from complex learning activities in dynamic learning environments. This paper investigates the use of diverse sensors, including computer vision, user-generated content, and data from the learning objects (physical computing components),…

Professisonal community workers' interevention strategies are effective insofar as they are relevant to the cultural context in which they are delivered. This article presents a methodological process of identifying and conceptualizing culture-based intervention strategies of Bedouin professionals who work with Bedouin parents of children with…

Students who are at risk for or show low-intensity behavioral problems may need targeted, Tier 2 interventions. Often, Tier 2 problem-solving teams are charged with monitoring student responsiveness to intervention. This process may be difficult for those who are not trained in data collection and analysis procedures. To aid practitioners in these…

In this paper, the authors address learning analytics and the ways academic libraries are beginning to participate in wider institutional learning analytics initiatives. Since there are moral issues associated with learning analytics, the authors consider how data mining practices run counter to ethical principles in the American Library…