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Paquette, Luc; Baker, Ryan S. – Interactive Learning Environments, 2019
Learning analytics research has used both knowledge engineering and machine learning methods to model student behaviors within the context of digital learning environments. In this paper, we compare these two approaches, as well as a hybrid approach combining the two types of methods. We illustrate the strengths of each approach in the context of…
Descriptors: Comparative Analysis, Student Behavior, Models, Case Studies
Sennott, Samuel C.; Akagi, Linda; Lee, Mary; Rhodes, Anthony – Topics in Language Disorders, 2019
Artificially intelligent tools have given us the capability to use technology to address ever more complex challenges. What are the capabilities, challenges, and hazards of incorporating and developing this technology for augmentative and alternative communication (AAC)? "Artificial intelligence" (AI) can be defined as the capability of…
Descriptors: Augmentative and Alternative Communication, Artificial Intelligence, Knowledge Representation, Thinking Skills
Aldridge, David – Educational Theory, 2018
This article by David Aldridge concerns the promise of knowledge "insertion." The promise can be elucidated as follows: knowledge could be inserted by a less time-consuming (and possibly in many senses less expensive) technological process than traditional learning, whereby, for example, some relatively swift procedure of implanting or…
Descriptors: Technology Uses in Education, Brain, Epistemology, Learning Processes
Guernsey, Lisa – Chronicle of Higher Education, 2009
Computers may not be able to master poetics like Aristotle, but they have become smart enough to know a metaphor when they see one. An online database called The Mind Is a Metaphor, created by Brad Pasanek, an assistant professor of English at the University of Virginia, is a searchable bank of phrases, verses, and lines from literature that…
Descriptors: Figurative Language, Databases, Computers, Online Systems
Kirschenbaum, Matthew – Chronicle of Higher Education, 2009
The author advocates that humanities scholars should seek and study programming languages. He believes that, increasingly, an appreciation of how complex ideas can be imagined and expressed as a set of formal procedures--rules, models, algorithms--in the virtual space of a computer will be an essential element of a humanities education. Students…
Descriptors: Programming Languages, Student Motivation, Artificial Intelligence, Computer Mediated Communication
Chen, Hsinchun – D-Lib Magazine, 1999
Discusses the need for semantic research in digital libraries to help overcome interoperability problems. Highlights include federal initiatives; semantic analysis; knowledge representations; human-computer interactions and information visualization; and the University of Illinois DLI (Digital Libraries Initiative) project through partnership with…
Descriptors: Academic Libraries, Artificial Intelligence, Electronic Libraries, Federal Programs
Aroyo, Lora; Mizoguchi, Riichiro – Journal of Interactive Learning Research, 2004
The ultimate aim of this research is to specify and implement a general authoring framework for content and knowledge engineering for Intelligent Educational Systems (IES). In this context we attempt to develop an authoring tool supporting this framework that is powerful in its functionality, generic in its support of instructional strategies and…
Descriptors: Educational Strategies, Engineering, Programming, Intelligent Tutoring Systems

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