Nurturing student artificial intelligence (AI) competency is crucial in the future of K-12 education. Students with strong AI competency should be able to ethically, safely, healthily, and productively integrate AI into their learning. Research on student AI competency is still in its infancy, primarily focusing on theoretical and professional…

E-science has reshaped meteorology due to the rate data is generated, collected, analyzed, and stored and brought data skills to a new prominence. Data information literacy--the skills needed to understand, use, manage, share, work with, and produce data--reflects the confluence of data skills with information literacy competencies. This research…

The purpose of this study is to propose a framework to evaluate the entrepreneurship intensity (EI) of Iranian state universities. In order to determine EI, a hybrid multi-method framework consisting of Delphi, Analytic Network Process (ANP), and VIKOR is proposed. The Delphi method is used to localize and reduce the number of criteria extracted…

The discussion on how to improve students' academic performance has a long and rich history in the U.S. Although it has been a national priority, the debate has centered on the best method to accomplish this goal. Bernhardt (2003) and Shen and Cooley (2008) recognized the importance of teachers, principals, and data, deployed together, as critical…

Although the number of high-needs schools that are failing to achieve "Adequate Yearly Progress" (AYP) steadily increases, some are successfully increasing student achievement, staff productivity and collegiality. The purpose of this study was to use a three-round Delphi process to obtain the expert opinions of 10 administrators who…