Nowadays, Massive Open Online Courses (MOOCs) have obtained a rapid development and drawn much attention from the areas of learning analytics and artificial intelligence. There are lots of unstructured data being generated in online reviews area. The learning behavioral data become more and more diverse, and they prompt the emergence of big data…

This article reports the results of a nationwide questionnaire survey of 1,104 Japanese higher education institutions conducted in late 2015 and early 2016. Its goal was to investigate the current status and issues related to the utilization and disclosure of educational information. A total of 248 institutions responded to the survey. Based on…

The designing of a new, potentially disruptive, curricular program, is not without challenges; however, it can be rewarding for students, faculty, and employers and serve as a template for other academics to follow. To be effective, the new data analytics program should be driven by business input and academic leadership that incorporates…

In this work we introduce the system for adaptive practice of foundations of mathematics. Adaptivity of the system is primarily provided by selection of suitable tasks, which uses information from a domain model and a student model. The domain model does not use prerequisites but works with splitting skills to more concrete sub-skills. The student…

The Technical Assistance Center on Social Emotional Intervention for Young Children (TACSEI) Roadmap on "Data Decision-Making and Program-Wide Implementation of the Pyramid Model" provides programs with guidance on how to collect and use data to ensure the implementation of the Pyramid Model with fidelity and decision-making that…

Faced with rising demand for information about early childhood programs, states need to find tools and strategies to monitor the progress of and to identify high-quality early childhood programs. In response, REL Mid-Atlantic convened a regional workgroup for state personnel who work with the systems containing early childhood data. The workgroup…

This technical report, produced in partnership by the Council for Advancement and Support of Education (CASE) and SPSS Inc., explores the promise of data mining alumni records at educational institutions. Working with individual alumni records from The Johns Hopkins Zanvyl Krieger School of Arts and Sciences, a predictive regression model is…

The effective communication of desired information between the generator and the user requires one to accommodate variances in decision-making style, behavior, and context. The premise that decision making in organizations follows the classic rational model is discussed. (Author/MLW)

Recently, to encourage secondary analysis, the federal government has begun to arrange for public policy data to be documented, archived and released to the public. The purpose of this document is to provide government project officers with guidelines for archiving government-sponsored data files. The guidelines represent a model for…

The conceptual framework for determining intelligence needs for dissemination service capacity that is presented is designed to assist state education agencies in improving their abilities to provide comprehensive dissemination services to their clientele. A section on the intelligence component of this model concerns (1) users and non-users at…

This technical report is the companion volume to the 1975 Databook, the purpose of which was the compilation of available data series focused on the organization and functioning of the knowledge production and utilization (KPU) system. This technical report is intended to (1) provide more accurate data sources, (2) analyze existing data sources,…

Provides an introduction to data-based interventions in the organizational context. Compares four models of data use and discusses how they pertain to student affairs organizations and to staff training and development. (JAC)

Although most school districts and schools are routinely involved in data collection, they do not typically use the data they collect in a systematic fashion to identify strengths and weaknesses and develop improvement strategies. One reason for the lack of data use is the perception that the data are being collected for someone else's purposes.…

Evaluability assessment is a descriptive and analytic process intended to produce a reasoned basis for proceeding with an evaluation of use to both management and policymakers. It was jointly developed by the members of the program evaluation group of the Urban Institute between 1968 and 1978. The approach begins by obtaining management's…