The development of school education depends on the quality of the education provided, and it is a key metric for assessing the effectiveness of schools in developing talent. Building specialized, intelligent education quality monitoring (EQM) databases is crucial for speeding EQM progress in the big data era. This article examines the development…

Areal data have been used to good effect in a wide range of sociological research. One of the most persistent problems associated with this type of data, however, is the need to combine data sets with incongruous boundaries. To help address this problem, we introduce a new method for identifying common geographies. We show that identifying common…

The increase in education data and advance in technology are bringing about enhanced teaching and learning methodology. The emerging field of Learning Analytics (LA) continues to seek ways to improve the different methods of gathering, analysing, managing and presenting learners' data with the sole aim of using it to improve the student learning…

Assessment and supporting data have become of increasing interest in librarianship. In this paper, we describe the development and implementation of the Northwestern University Library Acknowledgments Database tool, which gathers and documents qualitative data, as well as its component reporting function. This collaborative project and resulting…

In recent years the educational community has increasingly embraced digital technologies for the purposes of developing alternative learning environments, providing diagnostic feedback, and fostering the development of so-called 21st-century skills. This special issue is dedicated to bridging recent work from the disciplines of educational and…

The Bloomington Project School (BPS) is a charter school that has successfully adopted and implemented several learner-centered educational strategies. This case study offers a glimpse into its student-centered, collaborative, and interdisciplinary learning and teaching processes; its mastery-based assessment process; and its successful technology…

Researchers in career and technical education often ignore more effective ways of reporting and treating missing data and instead implement traditional, but ineffective, missing data methods (Gemici, Rojewski, & Lee, 2012). The recent methodological, and even the non-methodological, literature has increasingly emphasized the importance of…

This technical report is designed to provide researchers with an overview of the design and implementation of the Teaching and Learning International Survey (TALIS) 2013. This information is meant to supplement that presented in OECD publications by describing those aspects of TALIS 2013 that are unique to the United States. Chapter 2 provides…

There are increasing demands for higher levels of data assurance in higher education. This paper explores some of the drivers for this trend, and then explains what stakeholders mean by the concept of data assurance, since this has not been well defined previously. The paper captures insights from existing literature, stakeholders, auditors, and…

"Evidence-centered design" (ECD) is a comprehensive framework for describing the conceptual, computational and inferential elements of educational assessment. It emphasizes the importance of articulating inferences one wants to make and the evidence needed to support those inferences. At first blush, ECD and "educational data…

The Hint Factory is an implementation of our novel method to automatically generate hints using past student data for a logic tutor. One disadvantage of the Hint Factory is the time needed to gather enough data on new problems in order to provide hints. In this paper we describe the use of expert sample solutions to "seed" the hint generation…

Examines the impact of introducing data processing in middle-level accountancy training programs in Botswana. Hardware and software considerations for the program are also examined. Since the beginning of the program, some 300 students have been trained in accounting. (JN)

The evolution of administrative data processing systems at the University of Georgia is summarized. Nolan's revised stage model was used as a framework to present the university's experience and relate it to the growing body of system implementation research. (Author/MLW)

Describes types of computer science and data processing courses, programs, and curricula currently being offered in the United States and Canada. Indicates that the structure chosen by colleges for implementation depends on such factors as type of industry need, student clientele, faculty expertise, industry/college cooperation, and others. (JN)

Defines electronic data interchange (EDI) as the exchange of data between computer systems without human intervention or interpretation. Standards are discussed; and the implementation of EDI in libraries and the serials publishing community in the areas of orders and acquisitions, claims, and invoice processing is described. (LRW)