The purpose of this article is to discuss the innovation and development of university education management informationization construction in the context of big data. Through a comprehensive comparison of innovative and traditional university education management information systems, it reveals the advantages of the innovative model in terms of…

The present study examines the difficulties novice data modelers face when asked to provide a data model addressing a given problem. In order to map these difficulties and their causes, two short data modeling problems were given to 82 students who had completed an introductory course in database modeling. Both problems involve three entity sets…

The purpose of this qualitative phenomenological study was to explore how the post-adoption experiences of elementary school leaders influence their use of student achievement data in making educational decisions, after the implementation of a student information system (SIS). The participants consisted of K-5 elementary principals and assistant…

The demand for college graduates with skills in big data analysis is on the rise. Employers in all industry sectors have found significant value in analyzing both separate and combined data streams. However, news reports continue to script headlines drawing attention to data improprieties, privacy breaches and identity theft. While data privacy is…

Does data use make a difference in student achievement? Despite the field's optimism on this matter, relatively few studies have attempted to quantify the effects of data use. These studies have often used the presence of a data use intervention (e.g., a data system or data coaching) as a proxy for use, as opposed to tracking teachers' direct…

Coburn and Turner's "Research on Data Use: A Framework and Analysis" is a major step forward for educational researchers in the still-young community studying how educational systems are impacted by information tools. Even though the "data" that Coburn and Turner focus on in this paper are largely from traditional assessments, this work has…

This paper presents a learning unit that addresses quality design in relational data models. The focus on modeling allows the learning to span analysis, design, and implementation enriching pedagogy across the systems development life cycle. Thriving Systems Theory presents fifteen choice properties that convey design quality in models integrating…

For better or worse, many educational decisions that were once handled on a personal level by teachers or administrators now increasingly rely upon data and information. To be successful in this era, educators need to understand this broad sociotechnical revolution and how it is realigning traditional roles and responsibilities. In this book, the…

This study examines how the Change Communication Model can be used to implement a new student information system (SIS) in a school district. The impetus of the study came from government mandates requiring district accountability through data-driven decision making. Data-driven decision making is only possible when student data are collected,…

There's much talk about using data to inform education decision-making, both in and beyond the classroom. This paper examines the landscape of data literacy, based on a meeting in May 2012 which brought together the foremost researchers and professional development providers in the field of data-driven decision-making in education. The meeting…

Research investigating neighborhood effects on children and families has been largely deficit and individual-focused, investigated structural variables, and has typically produced equivocal findings and small effect sizes. We suggest an approach focused on community strengths and resources that stresses the role of measures of social interaction…

This chapter presents a sophisticated approach for tracking student cohorts from entry through departure within an institution. It describes how a researcher can create a student tracking model to perform longitudinal research on student cohorts. (Contains 3 tables and 2 figures.)

Introduces four models of data library development for meeting information needs for machine-readable data files--University of Florida facility, University of British Columbia Data Library, Data and Program Library Service at University of Wisconsin, and online numeric Kentucky Economic Information System at University of Kentucky. Four…