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…

To support the effectiveness of afterschool programs in fostering skills youth need to succeed in school and life, a growing number of cities have invested in afterschool systems to coordinate disparate programs and funding streams. A primary function of most afterschool systems is to develop and maintain a data system to collect, analyze, and…

To support the effectiveness of afterschool programs in fostering skills youth need to succeed in school and life, a growing number of cities have invested in afterschool systems to coordinate disparate programs and funding streams. A primary function of most afterschool systems is to develop and maintain a data system to collect, analyze, and…

Classification, clustering and association mining are major tasks of data mining and have been widely used for knowledge discovery. Associative classification mining, the combination of both association rule mining and classification, has emerged as an indispensable way to support decision making and scientific research. In particular, it offers a…

The Integrated Postsecondary Education Data System (IPEDS) collects institution-level data from postsecondary institutions in the United States (50 states and the District of Columbia) and other U.S. jurisdictions. This First Look presents findings from the provisional data of the IPEDS fall 2012 data collection, which included three survey…

Purpose: Various economic growth theories propose a view of globalisation resulting in economic convergence. However, others suggest economic divergence (i.e. a widening gap between global rich and poor) and others still, different patterns of development. Hence it is necessary to validate such globalisation hypotheses with sound quantitative…

This paper examines the role of Big Data Analytics in addressing contemporary challenges associated with current changes in institutions of higher education. The paper first explores the potential of Big Data Analytics to support instructors, students and policy analysts to make better evidence based decisions. Secondly, the paper presents an…

1.2 billion users in Facebook, 17 million articles in Wikipedia, and 190 million tweets per day have demanded significant increase of information processing through Internet in recent years. Similarly life sciences and bioinformatics also have faced issues of processing Big data due to the explosion of publicly available genomic information…

Background/Context: In recent years, states, districts, schools, and external partners have recognized the need to proactively foster the use of data to guide educational decision-making and practice. Understanding that data alone will not guarantee use, individuals at all levels have invested in interventions to support better access to,…

This dissertation was situated in the crossroads of educational data mining (EDM), educational digital libraries (such as the National Science Digital Library; http://nsdl.org), and examination of teacher behaviors while creating online learning resources in an end-user authoring system, the Instructional Architect (IA; http://ia.usu.edu). The…

The authors examined the extent to which classroom teachers in naturalistic settings used a Goal-Setting Tool to set instructional goals for struggling students, the kinds of goals they set, their progress monitoring practices with and without goals, and the extent to which students gain more when a goal-setting tool is used. The goal-setting tool…

Over the years, companies have relied on On-Line Analytical Processing (OLAP) to answer complex questions relating to issues in business environments such as identifying profitability, trends, correlations, and patterns. This paper addresses the application of OLAP in education and learning. The objective of the research presented in the paper is…

The National Institute of Justice (NIJ) developed the Comprehensive School Safety Initiative in consultation with federal partners and Congress. It is a research-focused initiative designed to increase the safety of schools nationwide through the development of knowledge regarding the most effective and sustainable school safety interventions and…

The US Government Accountability Office (GAO) began a study to compare English Language Learner (ELL) enrollment in charter schools to ELL enrollment in traditional public schools. For the study, they obtained ELL enrollment counts for school year 2010-11 from the U.S. Department of Education's (Education's) only available dataset containing the…

In this study, we develop a theoretical model to investigate the association between social network properties, "content richness" (CR) in academic learning discourse, and performance. CR is the extent to which one contributes content that is meaningful, insightful and constructive to aid learning and by social network properties we…