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Smith, Linda B.; Breazeal, Cynthia – Developmental Science, 2007
What are the essential properties of human intelligence, currently unparalleled in its power relative to other biological forms and relative to artificial forms of intelligence? We suggest that answering this question depends critically on understanding developmental process. This paper considers three principles potentially essential to building…
Descriptors: Intelligence, Artificial Intelligence, Child Development, Developmental Stages
Yearwood, John; Stranieri, Andrew – Educational Technology & Society, 2007
Narrative and story telling has a long history of use in structuring, organising and communicating human experience. This paper describes a narrative based interactive intelligent learning environment which aims to elucidate practical reasoning using interactive emergent narratives that can be used in training novices in decision making. Its…
Descriptors: Instructional Design, Story Telling, Knowledge Representation, Artificial Intelligence
Jensen, Michael – Chronicle of Higher Education, 2007
As the Web evolves, so will the ways people measure scholarly authority. Scholarly authority is being influenced by many of the features that have collectively been dubbed Web 2.0 by Tim O'Reilly and others, and what the author will call Authority 2.0 in order to explore more fully the shifts that seem likely in the near future. In Web 1.0,…
Descriptors: Access to Information, Communication (Thought Transfer), Scholarship, Internet
Kirrane, Peter R.; Kirrane, Diane E. – Training, 1989
Discusses the three areas of research and application of artificial intelligence: (1) robotics, (2) natural language processing, and (3) knowledge-based or expert systems. Focuses on what expert systems can do, especially in the area of training. (JOW)
Descriptors: Artificial Intelligence, Expert Systems, Robotics, Training
Barella, A.; Valero, S.; Carrascosa, C. – IEEE Transactions on Education, 2009
This paper presents a new environment for teaching practical work in AI subjects. The main purpose of this environment is to make AI techniques more appealing to students and to facilitate the use of the toolkits which are currently widely used in research and development. This new environment has a toolkit for developing and executing agents,…
Descriptors: Research and Development, Science Education, Case Studies, Teaching Methods
Ozpolat, Ebru; Akar, Gozde B. – Computers & Education, 2009
A desirable characteristic for an e-learning system is to provide the learner the most appropriate information based on his requirements and preferences. This can be achieved by capturing and utilizing the learner model. Learner models can be extracted based on personality factors like learning styles, behavioral factors like user's browsing…
Descriptors: Cognitive Style, Classification, Measures (Individuals), Measurement Techniques
Lafaye, Christophe – Information Research: An International Electronic Journal, 2009
Introduction: The rapid growth of the Internet has modified the boundaries of information acquisition (tracking) in environmental scanning. Despite the numerous advantages of this new medium, information overload is an enormous problem for Internet scanners. In order to help them, intelligent agents (i.e., autonomous, automated software agents…
Descriptors: Action Research, Information Systems, Dictionaries, Data Analysis
Wegerif, Rupert; McLaren, Bruce M.; Chamrada, Marian; Scheuer, Oliver; Mansour, Nasser; Miksatko, Jan; Williams, Mriga – Computers & Education, 2010
This paper reports on an aspect of the EC funded Argunaut project which researched and developed awareness tools for moderators of online dialogues. In this study we report on an investigation into the nature of creative thinking in online dialogues and whether or not this creative thinking can be coded for and recognized automatically such that…
Descriptors: Creativity, Creative Thinking, International Programs, Coding
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
Reategui, E.; Boff, E.; Campbell, J. A. – Computers & Education, 2008
Traditional hypermedia applications present the same content and provide identical navigational support to all users. Adaptive Hypermedia Systems (AHS) make it possible to construct personalized presentations to each user, according to preferences and needs identified. We present in this paper an alternative approach to educational AHS where a…
Descriptors: Knowledge Representation, Hypermedia, Interaction, Profiles
Kim, Jin-Young; Ko, Young-Gun – Roeper Review, 2007
This study explores how a historical genius with learning disabilities (LD) used his giftedness to surmount his disabilities. This study compared biographical data of a historical genius with LD to geniuses without LD using the posthumous diagnostic methodology. Niels Bohr, J. Robert Oppenheimer, and Enrico Fermi were selected for investigation.…
Descriptors: Gifted, Learning Disabilities, Academic Achievement, Intelligence Quotient
Peer reviewedd'Ydewalle, Gery; Delhaye, Patrick – International Social Science Journal, 1988
Describes artificial intelligence (AI) as the study of intelligence with the ideas and methods of computation. States that the goal is to make computers more intelligent and thereby uncover the principles that make intelligent behavior possible. Discusses knowledge representations, production (if-then) systems, and expert systems as forms of AI.…
Descriptors: Artificial Intelligence, Cognitive Processes, Computers, Cybernetics
Peer reviewedCellerier, Guy – Human Development, 1984
Argues for unifying the conceptual frameworks of theories of evolution so that problems and their solutions in one theory may be transposed and explored in the others. The argument is used to reconsider the mutationist and Darwinian theories of evolution in the light of Piaget's nonstandard theory of evolution. (Author/RH)
Descriptors: Artificial Intelligence, Evolution, Genetics, Schemata (Cognition)
Rauch-Hindin, Wendy – Systems and Software, 1985
This second part of a report on artificial intelligence focuses on the development of expert systems in a variety of applications, from engineering to science, and details expectations for implementation of these systems. (JN)
Descriptors: Artificial Intelligence, Computer Software, Higher Education, Microcomputers
Peer reviewedWolfe, George – Music Educators Journal, 1983
To what degree can computers be programed to create original, aesthetic musical compositions? Three examples of computer-generated melody illustrate that computers are by no means close to producing advanced musical works which call for aesthetic and intuitive decision making. (Author/KC)
Descriptors: Artificial Intelligence, Computers, Creative Expression, Musical Composition

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