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Shannon, George John – ProQuest LLC, 2017
This research improves the precision of information extraction from free-form text via the use of cognitive-based approaches to natural language processing (NLP). Cognitive-based approaches are an important, and relatively new, area of research in NLP and search, as well as linguistics. Cognitive approaches enable significant improvements in both…
Descriptors: Data Collection, Accuracy, Information Retrieval, Data Analysis
Owens-Hartman, Amy R. – ProQuest LLC, 2015
The purpose of this case study was to examine student technology choices when given the freedom to choose technology devices to complete a project-based learning activity in a content area of study. The study also analyzed factors affecting technology choice as well as how technology proficiency scores aligned to technology choices. Patterns and…
Descriptors: High School Students, Technology Uses in Education, Preferences, Case Studies
Rimland, Jeffrey C. – ProQuest LLC, 2013
In many evolving systems, inputs can be derived from both human observations and physical sensors. Additionally, many computation and analysis tasks can be performed by either human beings or artificial intelligence (AI) applications. For example, weather prediction, emergency event response, assistive technology for various human sensory and…
Descriptors: Man Machine Systems, Artificial Intelligence, Client Server Architecture, Information Technology
Mason, Robert T. – ProQuest LLC, 2011
An interoperability gap exists between Learning Management Systems (LMSs) and Learning Object Repositories (LORs). Learning Objects (LOs) and the associated Learning Object Metadata (LOM) that is stored within LORs adhere to a variety of LOM standards. A common LOM standard found in LORs is the Sharable Content Object Reference Model (SCORM)…
Descriptors: Expertise, Information Systems, Course Content, Metadata