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Simonson, Michael, Ed.; Seepersaud, Deborah, Ed. – Association for Educational Communications and Technology, 2019
For the forty-second time, the Association for Educational Communications and Technology (AECT) is sponsoring the publication of these Proceedings. Papers published in this volume were presented at the annual AECT Convention in Las Vegas, Nevada. The Proceedings of AECT's Convention are published in two volumes. Volume 1 contains 37 papers dealing…
Descriptors: Educational Technology, Technology Uses in Education, Research and Development, Elementary Education
Orey, Michael, Ed.; Jones, Stephanie A., Ed.; Branch, Robert Maribe, Ed. – Educational Media and Technology Yearbook, 2013
As digital devices play a more critical role in daily life than ever, more opportunities arise for innovative learning technologies--a trend on full display in the "Educational Media and Technology Yearbook for 2012." This latest edition, volume 37, from the Association for Education, Communication, and Technology (AECT) notes the most…
Descriptors: Educational Technology, Technology Uses in Education, Design, Instructional Design
Blumenstyk, Goldie – Chronicle of Higher Education, 2009
The still-unfolding economic crisis is bigger, more fundamental, and for good or ill, transformational for all of society. Yet the reaction in higher education has been, for the most part, strikingly timid. The timidity could be especially harmful considering all the challenges colleges already face, including the coming demographic shifts in the…
Descriptors: Social Change, Economic Change, Economic Climate, Economic Impact
Rafferty, Anna N., Ed.; Whitehill, Jacob, Ed.; Romero, Cristobal, Ed.; Cavalli-Sforza, Violetta, Ed. – International Educational Data Mining Society, 2020
The 13th iteration of the International Conference on Educational Data Mining (EDM 2020) was originally arranged to take place in Ifrane, Morocco. Due to the SARS-CoV-2 (coronavirus) epidemic, EDM 2020, as well as most other academic conferences in 2020, had to be changed to a purely online format. To facilitate efficient transmission of…
Descriptors: Educational Improvement, Teaching Methods, Information Retrieval, Data Processing
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
Boyer, Kristy Elizabeth, Ed.; Yudelson, Michael, Ed. – International Educational Data Mining Society, 2018
The 11th International Conference on Educational Data Mining (EDM 2018) is held under the auspices of the International Educational Data Mining Society at the Templeton Landing in Buffalo, New York. This year's EDM conference was highly competitive, with 145 long and short paper submissions. Of these, 23 were accepted as full papers and 37…
Descriptors: Data Collection, Data Analysis, Computer Science Education, Program Proposals
Pickett, John C. – Science Software Quarterly, 1984
AUTOBJ and AUTOBOX are revolutionary software programs which contain the first application of artificial intelligence to statistical procedures used in analysis of time series data. The artificial intelligence included in the programs and program features are discussed. (JN)
Descriptors: Artificial Intelligence, Computer Software, Higher Education, Sciences

Kugel, Peter – Journal of Computers in Mathematics and Science Teaching, 1985
The controversy over whether or not machines can think has attracted the attention of philosophers, psychologists, neurologists, computer scientists, and writers of science fiction. Various topics and issues related to this controversy are discussed, including turing machines and the relationship between computer history and mathematical…
Descriptors: Artificial Intelligence, Computer Science, Computers, Higher Education

Waldrop, M. Mitchell – Science, 1984
Discusses several areas of artificial intelligence and research in this area, focusing on natural language understanding. Indicates that language is more than words, that "meaning" depends on context, and that "understanding" requires a vast body of knowledge about the world. (JN)
Descriptors: Artificial Intelligence, Comprehension, Computer Science, Higher Education
Walker, Jearl – Scientific American, 1981
Describes several methods by which an amateur might prepare a laser light display in the home or the classroom. Methods described include the use of particles in lasers, filters, reflecting laser beams, vibration's effects on laser beams, rotating mirrors, and the use of prisms with laser beams. (DS)
Descriptors: Artificial Intelligence, Behavioral Sciences, Higher Education, Neurological Organization
Foreman, Joel – EDUCAUSE Review, 2004
Not long after he completed his Ph.D. at the University of Michigan, Mike Van Lent used his interest in videogames and artificial intelligence to land a research professorship at the University of Southern California (USC). There he edits the Journal of Game Development and conducts studies for the Institute for Creative Technologies, a $45…
Descriptors: Computer Simulation, Video Games, Conventional Instruction, Artificial Intelligence

Gibson, Keith – Business Communication Quarterly, 2003
Attempts a rhetorical analysis of the history of artificial intelligence research. Responds to scholarly needs in three areas: the rhetorical nature of science, the social construction of science knowledge, and the rhetorical strategies used in artificial intelligence (AI). Suggests that this work can help rhetoricians more accurately describe the…
Descriptors: Artificial Intelligence, Business Education, Debate, Higher Education

Wharton, Charles M.; And Others – Cognitive Psychology, 1994
Three experiments involving 222 undergraduates investigated whether and when human memory retrieval is influenced by structural consistency. In all experiments, retrieval competition was manipulated. Results indicate that both retrieval competition and structural consistency influence reminding. Implications for psychological and artificial…
Descriptors: Analogy, Artificial Intelligence, Higher Education, Memory
Wheeler, David L. – Chronicle of Higher Education, 1988
Scientists feel that progress in artificial intelligence and the availability of thousands of experimental results make this the right time to build and test theories on how people think and learn, using the computer to model minds. (MSE)
Descriptors: Artificial Intelligence, Computer Science, Epistemology, Higher Education

DeLuca, V. William – Technology Teacher, 1988
Intelligent technologies represent a new knowledge base for the study of technology. We must define the knowledge that students need to adapt to an intelligent technological environment and to identify the best methods to use to teach students how to apply this knowledge. (JOW)
Descriptors: Artificial Intelligence, Higher Education, Industrial Arts, Research Needs