Collective impact is an increasingly popular approach to addressing persistent social problems. It takes a place-based systems approach to social change and compared with other forms of collaboration is meant to be more structured and strategic. Such an approach is intuitively appealing, and it has the support of stakeholders at the local level,…

In this paper, the authors attempted to evaluate design of leaning units with use of Learning Analytics technique on page flip information. Traditional formative assessment has been carried out by giving assignments and evaluating their results. However, the information that teacher can get from the evaluation is limited and coarse-grained. The…

The purpose of this correlational study, which took place in a Central Florida school district, was to investigate the relationship between the quality of the early childhood education (ECE) programs and students' kindergarten readiness scores. Vygotsky's sociocultural theory, which states that a child's environment, culture, and language are…

This study analyzed the meta-data collected from a honeypot that was run by the Federal Bureau of Investigation for a period of 5 years. This analysis compared the use of existing industry methods and tools, such as Intrusion Detection System alerts, network traffic flow and system log traffic, within the Open Source Security Information Manager…

Disaster recovery planning is a crucial component to maintaining a business's economic stability. However, it is unclear how key performance indicators (KPIs) are perceived in the emergency medical service (EMS) industry during the disaster recover planning process. The problem addressed in this study was to understand KPIs and their components.…

The article aims to study the verbal collaborative interaction in both symmetrical and asymmetrical dyads according to specific individual cognitive competence. The interaction was analyzed in terms of cognitive and non-cognitive aspects. 19 dyads (38 fifth and sixth graders) participated. First, they individually solved a set of logical problems…

The use of individual patient data (IPD) in network meta-analysis (NMA) is becoming increasingly popular. However, as most studies do not report IPD, most NMAs are performed using aggregate data for at least some, if not all, of the studies. We investigate the benefits of including varying proportions of IPD studies in an NMA. Several models have…

Purpose: The purpose of the Listening and Spoken Language Data Repository (LSL-DR) was to address a critical need for a systemwide outcome data-monitoring program for the development of listening and spoken language skills in highly specialized educational programs for children with hearing loss highlighted in Goal 3b of the 2007 Joint Committee…

Cluster randomized trials involving participants nested within intact treatment and control groups are commonly performed in various educational, psychological, and biomedical studies. However, recruiting and retaining intact groups present various practical, financial, and logistical challenges to evaluators and often, cluster randomized trials…

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…