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Sudipta Mondal – ProQuest LLC, 2024
Graph neural networks (GNN) are vital for analyzing real-world problems (e.g., network analysis, drug interaction, electronic design automation, e-commerce) that use graph models. However, efficient GNN acceleration faces with multiple challenges related to high and variable sparsity of input feature vectors, power-law degree distribution in the…
Descriptors: Graphs, Models, Computers, Scaling
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Joakim Landahl – Learning, Media and Technology, 2024
This article explores the history of digital testing technology. Using an organisation that pioneered the use of international large-scale assessments -- the International Association for the Evaluation of Educational Achievement (IEA) -- I discuss the role of computers, punched cards, answer cards and scanning machines as an example of…
Descriptors: Educational History, Measurement, Testing, Computer Assisted Testing
Osborne, Kristen; Fowler, Craig; Circelli, Michelle – National Centre for Vocational Education Research (NCVER), 2018
This discussion paper explores the possibilities and risks that data linkage presents for the vocational education and training (VET) sector. Along with a broad overview of the nature of data linkage, it highlights possible applications for data linkage in the VET sector and examines the key challenges associated with its use. A number of case…
Descriptors: Vocational Education, Data Processing, Educational Research, Information Networks
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Sabitha, A. Sai; Mehrotra, Deepti; Bansal, Abhay – Education and Information Technologies, 2017
Currently the challenges in e-Learning are converging the learning content from various sources and managing them within e-learning practices. Data mining learning algorithms can be used and the contents can be converged based on the Metadata of the objects. Ensemble methods use multiple learning algorithms and it can be used to converge the…
Descriptors: Electronic Learning, Metadata, Computer System Design, Design Preferences
Fredette, Michelle – Campus Technology, 2012
"Rent or buy?" is a question people ask about everything from housing to textbooks. It is also a question universities must consider when it comes to high-performance computing (HPC). With the advent of Amazon's Elastic Compute Cloud (EC2), Microsoft Windows HPC Server, Rackspace's OpenStack, and other cloud-based services, researchers now have…
Descriptors: Systems Development, Educational Technology, Technology Planning, Information Networks
Zhang, Bin – ProQuest LLC, 2012
Social scientists usually are more interested in consumers' dichotomous choice, such as purchase a product or not, adopt a technology or not, etc. However, up to date, there is nearly no model can help us solve the problem of multi-network effects comparison with a dichotomous dependent variable. Furthermore, the study of multi-network…
Descriptors: Social Networks, Network Analysis, Comparative Analysis, Population Groups
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Emery, Jill – Journal of Electronic Resources Librarianship, 2008
The age of networked research and networked data analysis is upon us. "Wired Magazine" proclaims on the cover of their July 2008 issue: "The End of Science. The quest for knowledge used to begin with grand theories. Now it begins with massive amounts of data. Welcome to the Petabyte Age." Computing technology is sufficiently complex at this point…
Descriptors: Information Networks, Data Processing, Pattern Recognition, Data Analysis
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Kenny, James J. – TechTrends: Linking Research and Practice to Improve Learning, 2006
The personal computer--with its ability to store, sort, and retrieve large amounts of data, generate reports, and graphically present statistical information--is becoming an integral tool in the administration of the modern media center. The need to share and retrieve information beyond the immediate environment of the media center has always been…
Descriptors: Electronic Mail, Computers, Information Technology, Computer Peripherals