Research suggests (a) students benefit when educators implement positive and proactive classroom behavior support practices (e.g., maximizing structure, teaching expected behaviors, delivering engaging instruction) and (b) educators benefit when school leadership teams invest in positive and proactive professional development support systems…

The increasing use of geographic information system (GIS) technology in various fields suggests the need for professionals, including those in Extension, to be mindful of communicating data accurately and effectively. This article examines approaches to creating classes or groupings within data as well as the weaknesses of each approach. Data…

This study aims to determine the overt and covert patterns that teachers' and prospective teachers' views on the use of information and communication technology (ICT) instruments contain by using the method of data mining. The study group was composed of 192 prospective teachers attending a state university in Ankara, Turkey and 101 teachers…

The goal of this study is to identify major research trends and focus in the field of educational research. To this end, 22,000 titles consisting of PhD dissertations, journal papers and conference proceedings were retrieved from the ERIC (Education Resources Information Center - https://eric.ed.gov/?) database in the period from 2009 to 2018. A…

Certain planned-missing designs (e.g., simple-matrix sampling) cause zero covariances between variables not jointly observed, making it impossible to do analyses beyond mean estimations without specialized analyses. We tested a multigroup confirmatory factor analysis (CFA) approach by Cudeck (2000), which obtains a model-estimated…

In "Applied Research for Sustainable Change," Sharon M. Ravitch and Nicole Mittenfelner Carl draw on twenty years of teaching and research to offer an incisive guide to practitioner-led qualitative research. They make the case for "local knowledge generation"--inquiry-based, school-level research that can contextualize…

Institutions of higher education are required by U.S. accrediting bodies to articulate their conceptual framework and develop a viable program improvement plan through a continuous reflective process of progressive problem solving that enables data-driven decision-making practices. To meet or exceed national accreditation standards for leadership,…

In a world where the continual combining of computer applications and the expansion of artificial intelligence is already necessarily changing the world of work for people, an education system that does not adequately respond to these trends and changes will render itself irrelevant. Education policy and regulation may suffer at the hand of such…

Almost every detail of our lives -- where we go, what we do, and with whom -- is captured as digital data. Technological advancements in cloud computing, artificial intelligence, and data analytics offer the education sector new ways not only to improve policy and processes but also to personalize learning and teaching practice. However, these…

For the least-squares analysis of data having multiple uncertain variables, the generally accepted best solution comes from minimizing the sum of weighted squared residuals over all uncertain variables, with, for example, weights in x[subscript i] taken as inversely proportional to the variance [delta][subscript xi][superscript 2]. A complication…

Analytics is getting a great deal of attention in both industrial and academic venues. Organizations of all types are becoming more serious about transforming data from a variety of sources into insight, and analytics is the key to that transformation. Academic institutions are rapidly responding to the demand for analytics talent, with hundreds…

In the coming years, public programs will capture even more and richer data than they do now, including data from web-based tools used by participants in employment services, from tablet-based educational curricula, and from electronic health records for Medicaid beneficiaries. Program evaluators seeking to take full advantage of these data…

In all areas of human activity, decision-making based on data analysis is very important. As the availability of data grows, it becomes critical to educate not only traditional students but also those individuals who are now in the workforce, as many of them are expected to manage the complex data streams and to provide evidence and guidance for…

This paper describes two classes of advanced data mining methods that can obtain actionable insight from cooperative education data: text mining of job descriptions and graph mining of job interview data. While these methods are not new in general, they have not been widely used in co-operative education research. A technical overview of each…

Data sets from large-scale longitudinal surveys involving young children and families have become available for secondary analysis by researchers in a variety of fields. Researchers in early intervention have conducted secondary analyses of such data sets to explore relationships between nonmalleable and malleable factors and child outcomes, and…