Purpose: School improvement planning and implementation is one organizational process by which principals may positively impact school and student outcomes. Limited research, however, has explored how principal preparation programs prepare aspiring leaders for this common school leadership activity. This study examined aspiring principals engaged…

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…

Data analytics is an integral part of planning and decision making in business. Priorities have shifted to hiring skilled employees to support a company's analytics requirements. The authors discuss the background of big data and data analytics, demand for trained professionals, and information on the development of a data analytics curriculum.…

The value of the National Association for Developmental Education (NADE) accreditation process is far-reaching. Not only do students and programs benefit from the process, but also the entire institution. Through data collection of student performance, analysis, and resulting action plans, faculty and administrators can work cohesively towards…

The recommendations in this brief create a framework for using data effectively to make instructional decisions. The availability of student-level data for educators has pushed forward the movement to strengthen the role of data to guide instruction and improve student learning. While improvements in technology and assessments, as well as recent…

Reform in educational policy and federal legislation has placed an emphasis on data collection pertaining to student outcomes in the academic setting. In response, school systems have shifted to multi-tiered frameworks that utilize varying levels of support through the implementation of evidence-based interventions. Data-based decision making…

Data-based decision making is enhanced by identifying a precise problem statement or question to explore. When looking at a problem, the nearer we get to the precise problem (e.g., where and when it is occurring, who is involved, and why the problem is continuing in context and location) the more quickly we can build an action plan to effectively…

Because data access may be perceived by principals as overwhelming or irrelevant rather than helpful (Wayman, Spikes, & Volonnino, 2013), data access does not guarantee effective data use. The data-based decision making literature has largely focused on teacher use of data, considering less often data-based organizational improvements for the…

This is a research-based action and strategy planning study incorporating a holistic systems approach to program continuance at a local college. In the spring semester of 2010, the college administration decided to discontinue three programs at the college due to declining enrollment. One of these programs was the Real Estate Department which had…

Insights into aspects of teachers' planning reported here were gathered as part of a broader project examining aspects of the implementation of the Australian curriculum in mathematics. In particular, responses of teachers to a survey of various aspects of decisions that inform their planning are discussed. While there is diversity in processes…

This monograph details the process Building Engagement and Attainment for Minority Students (BEAMS) institutions used to craft data-driven action plans to improve student success. More than 100 four-year Historically Black, Hispanic-Serving, and Tribal colleges and universities participated in the five-year program that produced best practices…

The Delphi technique is a valuable tool for collecting and organizing data to help in making decisions and to help increase the probabilities that the decisions made will be productive ones. This paper focuses on the Delphi's role in the administrator's repertoire of data collection devices. (Author)

If technology can affect student learning, shouldn't it be considered in making decisions? Data-driven decision making models include data from curriculum, instruction, test scores, lunch programs, budgets, and transportation. None of the current models include anything about technology. The challenge with any type of data-driven decision making…

The ability to assess "tenacity" is a significant feature of the Delphi technique. The technique provides researchers with the opportunity to calculate how firmly groups and individuals hold to their original priorities and how willing they are to move to the consensus position. (Author/WM)

To meet growing demands for collecting and using quality information for decision-making, many U.S. school districts are developing database systems that increase their responsiveness to schools and communities. This paper describes how Long Beach Unified School District (California) designed and implemented a Database Management Information…