Collecting data for the purpose of decision making has become an integral part of the landscape of education in the United States over the past decade. Many educators are swamped with such an overwhelming amount of information that it can be difficult to sort and analyze, leaving them floundering under wave after wave of data. The SWIS facilitator…

One of the most significant issues in education, as defined by the U.S. Department of Education Office of Accountability (2018), is disproportionality in exclusionary discipline. Disproportionality is defined as the over- and under-representation of racial/ethnic minorities in relation to their overall enrollment (Ahram et al., 2011). Currently,…

College and university enrollment has decreased nationwide every year for more than a decade as educational consumers increasingly question the value of higher education and discover alternatives to the traditional university system. Enrollment professionals seeking growth are tasked to develop and implement innovative solutions to address…

Decision-making, a key factor of organizational performance, is based on information retrieved from processing raw data. As businesses and consumers are shifting toward digital channels, more and more data is being generated through digital services and electronic devices. Big Data is argued to have significant benefits to businesses, and yet data…

"Citizen science" popularly refers to a participatory approach in which lay persons voluntarily contribute data toward scientific enterprise. Although citizen science may provide unique opportunities for pre-college students to engage in data-intensive science practices, little is known about whether or how citizen science interacts with…

Data collection and analyzation practices for English language development services are scarcely found in research, but needed in the subgroup of minority students commonly known as English language learners (Wiseman & Bell, 2021). Wiseman and Bell (2021) identified ELLs as one of the most under-documented student subgroups in the American…

This action research study investigates the role of Data-Based Decision-Making (DBDM) in increasing academic outcomes within a charter school network. During Cycle 1, interviews and focus groups with teachers, interventionists, and school deans shed light on critical themes, including leadership, data collection, analytic capacity, and a culture…

The problem statement for this project-based learning was loose coupling, when applied to the PBIS framework, translates into major gaps with district-wide implementation of Tier II and Tier III interventions. Additionally, lack of superintendent-adaptive schools' knowledge and practices impact fidelity of implementation. Tier II and Tier III…

The problem statement for this project based learning was loose coupling, when applied to the PBIS framework, translates into major gaps with district wide implementation of Tier II and Tier III interventions. Additionally, lack of superintendent adaptive schools' knowledge and practices impact fidelity of implementation. Tier II and Tier III…

Elementary school teachers struggle to collect and use reading progress data to make instructional decisions. Collecting and interpreting reading progress data when making instructional decisions allows districts to identify and support students who need early reading intervention and may protect districts from Free Appropriate Public Education…

Intended outcomes such as expressing ideas in ways that can be understood, with the tools we know how to use, constrain the dynamics of the actions we use to ensure their success. The success of our actions can be measured by estimating the amount of information they transmit. This provides a window into the dynamics of cognition and how they are…

The development in information science has enabled an explosive growth of data, which attracts more and more researchers to engage in the field of big data analytics. Noticeably, in many real-world applications, large amounts of data are imbalanced data since the events of interests occur infrequently. Classification of imbalanced data is an…

Social media analytics is a critical research area spawned by the increasing availability of rich and abundant online user-generated content. So far, social media analytics has had a profound impact on organizational decision making in many aspects, including product and service design, market segmentation, customer relationship management, and…

The ubiquity of data in various forms has fueled the need for advanced data-mining techniques within organizations. The advent of data mining methods used to uncover hidden nuggets of information buried within large data sets has also fueled the need for determining how these unique projects can be successful. There are many challenges associated…

The chief aim of this study was to develop a grounded theory of ethical leadership with school leaders in Southern Nigeria, utilizing a qualitative constructivist paradigm and multiple case study design. There is growing interest in public service of ethics (Barberis, 2001). The study of ethics has been a part of the [school] leadership erudition…