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Direct linkKisling, Reid; Peterson, Andrew; Nisbet, Robert – Strategic Enrollment Management Quarterly, 2021
Data analytics is undergoing an evolution through effective data use to support both operational and learning analytics models. However, this evolution will require that institutional leaders transform their data systems to best support the needs of application modeling and use their intuition to help drive the development of better analytical…
Descriptors: Higher Education, Learning Analytics, Models, Instructional Leadership
Download full textWaguespack, Leslie J., Jr. – Information Systems Education Journal, 2010
No individual subject area in IS 2002 impacts more aspects of computing theory or professional preparation than data modeling. For more than four decades the bedrock of data modeling has been the relational data model. There are numerous extensions, variations and implementations of this theory but its core remains the central anchor in the…
Descriptors: Information Systems, Databases, Higher Education, Programming Languages
Mohler, James L. – 2001
Within all institutions, Web developers are beginning to utilize technologies that make sites more than static information resources. Databases such as XML (Extensible Markup Language) and XSL (Extensible Stylesheet Language) are key technologies that promise to extend the Web beyond the "information storehouse" paradigm and provide…
Descriptors: Computer Uses in Education, Databases, Educational Resources, Educational Technology
Tennant, Roy, Ed. – 2002
This book presents examples of how libraries are using XML (eXtensible Markup Language) to solve problems, expand services, and improve systems. Part I contains papers on using XML in library catalog records: "Updating MARC Records with XMLMARC" (Kevin S. Clarke, Stanford University) and "Searching and Retrieving XML Records via the…
Descriptors: Academic Libraries, Bibliographic Records, Databases, Electronic Libraries
Brase, Jan; Painter, Mark – Educational Technology & Society, 2004
Learning Objects Metadata (LOM) aims at describing educational resources in order to allow better reusability and retrieval. In this article we show how additional inference rules allows us to derive additional metadata from existing ones. Additionally, using these rules as integrity constraints helps us to define the constraints on LOM elements,…
Descriptors: Inferences, Metadata, Information Retrieval, Standards
Hollas, Eric – 1997
Even though medieval manuscripts represent the most voluminous surviving artifact from the Middle Ages, the very nature of this resource presents challenges for usage. In an effort to preserve medieval manuscripts and to create broader and more economical access to their contents, many libraries have in recent decades sought to provide filmed…
Descriptors: Access to Information, Cataloging, Databases, Electronic Publishing
