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Cabanero-Johnson, Paz Susan; Berge, Zane – Learning Organization, 2009
Purpose: The purpose of this paper is to provide description and an analysis of two worlds colliding where real-world roles or ideas play out in a virtual dimension. Inhabited by digital natives, the virtual world in a learning organization is a journey back to the future of microworlds where the only limitation is one's imagination.…
Descriptors: Age Groups, Influence of Technology, Technology Uses in Education, Artificial Intelligence
Simkins, Michael – Technology & Learning, 2008
Robots that can learn new behaviors. Robots that can reproduce themselves. Science fiction? Not anymore. Roboticists at Cornell's Computational Synthesis Lab have developed just such engineered creatures that offer interesting implications for education. The team, headed by Hod Lipson, was intrigued by the question, "How can you get robots to be…
Descriptors: Robotics, Research and Development, Technological Advancement, Scientific Research
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Cassimatis, Nicholas L.; Bello, Paul; Langley, Pat – Cognitive Science, 2008
Computational models will play an important role in our understanding of human higher-order cognition. How can a model's contribution to this goal be evaluated? This article argues that three important aspects of a model of higher-order cognition to evaluate are (a) its ability to reason, solve problems, converse, and learn as well as people do;…
Descriptors: Artificial Intelligence, Cognitive Psychology, Thinking Skills, Computation
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Shaw, Keith – British Journal of Educational Technology, 2008
This paper compares and contrasts the use of AI principles in industrial training with more normal computer-based training (CBT) approaches. A number of applications of CBT are illustrated (for example simulations, tutorial presentations, fault diagnosis, management games, industrial relations exercises) and compared with an alternative approach…
Descriptors: Industrial Training, Artificial Intelligence, Computer Assisted Instruction, Computer Simulation
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Vattam, Swaroop S.; Goel, Ashok K.; Rugaber, Spencer; Hmelo-Silver, Cindy E.; Jordan, Rebecca; Gray, Steven; Sinha, Suparna – Educational Technology & Society, 2011
Artificial intelligence research on creative design has led to Structure-Behavior-Function (SBF) models that emphasize functions as abstractions for organizing understanding of physical systems. Empirical studies on understanding complex systems suggest that novice understanding is shallow, typically focusing on their visible structures and…
Descriptors: Systems Approach, Middle School Students, Models, Science Instruction
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Thomas, M. S.; Kothari, D. P.; Prakash, A. – IEEE Transactions on Education, 2011
Automation of power systems is gaining momentum across the world, and there is a need to expose graduate and undergraduate students to the latest developments in hardware, software, and related protocols for power automation. This paper presents the design, development, and commissioning of an automation lab to facilitate the understanding of…
Descriptors: Foreign Countries, Undergraduate Students, Graduate Students, Computer Assisted Instruction
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Kumar, R.; Rose, C. P. – IEEE Transactions on Learning Technologies, 2011
Tutorial Dialog Systems that employ Conversational Agents (CAs) to deliver instructional content to learners in one-on-one tutoring settings have been shown to be effective in multiple learning domains by multiple research groups. Our work focuses on extending this successful learning technology to collaborative learning settings involving two or…
Descriptors: Educational Technology, Computer Software, Computer Software Evaluation, Programming
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Khandaker, N.; Soh, Leen-Kiat; Miller, L. D.; Eck, A.; Jiang, Hong – IEEE Transactions on Learning Technologies, 2011
Recent years have seen a surge in the use of intelligent computer-supported collaborative learning (CSCL) tools for improving student learning in traditional classrooms. However, adopting such a CSCL tool in a classroom still requires the teacher to develop (or decide on which to adopt) the CSCL tool and the CSCL script, design the relevant…
Descriptors: Web 2.0 Technologies, Instructional Design, Program Implementation, Cooperative Learning
El-Bathy, Naser Ibrahim – ProQuest LLC, 2010
The study of this dissertation provides a solution to a very specific problem instance in the area of data mining, data warehousing, and service-oriented architecture in publishing and newspaper industries. The research question focuses on the integration of data mining and data warehousing. The research problem focuses on the development of…
Descriptors: Research Problems, Information Retrieval, Artificial Intelligence, Computer Science
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McLaren, Bruce M.; Scheuer, Oliver; Miksatko, Jan – International Journal of Artificial Intelligence in Education, 2010
An emerging trend in classrooms is the use of networked visual argumentation tools that allow students to discuss, debate, and argue with one another in a synchronous fashion about topics presented by a teacher. These tools are aimed at teaching students how to discuss and argue, important skills not often taught in traditional classrooms. But how…
Descriptors: Artificial Intelligence, Cooperative Learning, Computer Mediated Communication, Discussion (Teaching Technique)
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Lavesson, N. – IEEE Transactions on Education, 2010
This correspondence reports on a case study conducted in the Master's-level Machine Learning (ML) course at Blekinge Institute of Technology, Sweden. The students participated in a self-assessment test and a diagnostic test of prerequisite subjects, and their results on these tests are correlated with their achievement of the course's learning…
Descriptors: Artificial Intelligence, Diagnostic Tests, Foreign Countries, Self Evaluation (Individuals)
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Behrend, Tara S.; Thompson, Lori Foster – International Journal of Training and Development, 2012
Animated agents have the potential to increase engagement and learning during online training by acting as personalized tutors. However, little is known about the conditions that make these agents most effective. In this study, 183 e-learners completed a Microsoft Excel training course. Approximately half were assigned an agent with predetermined…
Descriptors: Computer Assisted Instruction, Self Efficacy, Learner Controlled Instruction, Feedback (Response)
Allendoerfer, Kenneth Robert – ProQuest LLC, 2009
User-centered evaluations of information systems often focus on the usability of the system rather its usefulness. This study examined how a using an interactive knowledge-domain visualization (KDV) system affected users' understanding of a domain. Interactive KDVs allow users to create graphical representations of domains that depict important…
Descriptors: Visualization, Information Systems, Artificial Intelligence, Multidimensional Scaling
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Wong, Lung-Hsiang; Looi, Chee-Kit – Educational Technology & Society, 2009
One of the new major directions in research on web-based educational systems is the notion of adaptability: the educational system adapts itself to the learning profile, preferences and ability of the student. In this paper, we look into the issues of providing adaptability with respect to learning pathways. We explore the state of the art with…
Descriptors: Technology Uses in Education, Web Based Instruction, Internet, Artificial Intelligence
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Ramaswami, Rama – T.H.E. Journal, 2009
In education, artificial intelligence (AI) has not made much headway. In the one area where it would seem poised to lend the most benefit--assessment--the reliance on standardized tests, intensified by the demands of the No Child Left Behind Act of 2001, which holds schools accountable for whether students pass statewide exams, precludes its use.…
Descriptors: Elementary Secondary Education, Federal Legislation, Standardized Tests, Artificial Intelligence
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