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Are Models Easier to Understand than Code? An Empirical Study on Comprehension of Entity-Relationship (ER) Models vs. Structured Query Language (SQL) Code
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Sanchez, Pablo; Zorrilla, Marta; Duque, Rafael; Nieto-Reyes, Alicia – Computer Science Education, 2011
Models in Software Engineering are considered as abstract representations of software systems. Models highlight relevant details for a certain purpose, whereas irrelevant ones are hidden. Models are supposed to make system comprehension easier by reducing complexity. Therefore, models should play a key role in education, since they would ease the…
Descriptors: Computer Science Education, Computer Software, Programming, Programming Languages
Enabling Geotechnical Data for Broader Use by the Spatial Data Infrastructures
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Zand, Amir Ghasem – ProQuest LLC, 2011
Geotechnical data are one of the most prevalent data types in civil engineering projects. The majority of the civil engineering projects that are in use today are designed using site-specific geotechnical data. The usage of geotechnical data is not limited to construction projects. This data is used in a wide range of applications, including…
Descriptors: Geographic Information Systems, Industry, Maps, Information Technology
A Realistic Data Warehouse Project: An Integration of Microsoft Access[R] and Microsoft Excel[R] Advanced Features and Skills
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King, Michael A. – Journal of Information Technology Education, 2009
Business intelligence derived from data warehousing and data mining has become one of the most strategic management tools today, providing organizations with long-term competitive advantages. Business school curriculums and popular database textbooks cover data warehousing, but the examples and problem sets typically are small and unrealistic. The…
Descriptors: Strategic Planning, Problem Sets, Corporations, Statistics
Integrating XQuery-Enabled SCORM XML Metadata Repositories into an RDF-Based E-Learning P2P Network
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Qu, Changtao; Nejdl, Wolfgang – Educational Technology & Society, 2004
Edutella is an RDF-based E-Learning P2P network that is aimed to accommodate heterogeneous learning resource metadata repositories in a P2P manner and further facilitate the exchange of metadata between these repositories based on RDF. Whereas Edutella provides RDF metadata repositories with a quite natural integration approach, XML metadata…
Descriptors: Metadata, Educational Resources, Models, Programming
A Practical Introduction to the XML, Extensible Markup Language, by Way of Some Useful Examples
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Snyder, Robin – Association of Small Computer Users in Education (ASCUE), 2004
XML, Extensible Markup Language, is important as a way to represent and encapsulate the structure of underlying data in a portable way that supports data exchange regardless of the physical storage of the data. This paper (and session) introduces some useful and practical aspects of XML technology for sharing information in a educational setting…
Descriptors: Information Technology, Computer Uses in Education, Information Systems, Computer System Design
Inferring Metadata for a Semantic Web Peer-to-Peer Environment
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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