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Michael, Kurt Y. – Technology and Engineering Teacher, 2013
The "Titanic" caught the attention and imagination of the public when, in 1985, the sunken ship was discovered 370 miles off the coast of Newfoundland (PBS, 2012). Since that time, scientists have conducted numerous expeditions using high-resolution SONAR working in tandem with remote-operated vehicles (ROV) to collect information used…
Descriptors: Navigation, Cartography, Computer Simulation, Knowledge Representation
Venables, Anne; Tan, Grace – Journal of Information Technology Education, 2007
Genetic algorithms (GAs) are a problem solving strategy that uses stochastic search. Since their introduction (Holland, 1975), GAs have proven to be particularly useful for solving problems that are "intractable" using classical methods. The language of genetic algorithms (GAs) is heavily laced with biological metaphors from evolutionary…
Descriptors: Feedback (Response), Constructivism (Learning), Genetics, Knowledge Representation
Adiguzel, Tufan; Akpinar, Yavuz – Association for Educational Communications and Technology, 2004
Instructional resources that employ multiple representations have become commonplace in mathematics classrooms. This study will present computer software, LaborScale which was designed to improve seventh grade students' word problem-solving skills through computer-based multiple representations including graphic, symbolic, and audio…
Descriptors: Grade 7, Mathematics Instruction, Knowledge Representation, Computer Software
Scanlon, David – TEACHING Exceptional Children, 2002
This article describes the PROVE strategy, which provides students with learning disabilities with a procedure for naming a concept, providing evidence (both why and how), and defending it. Research results are presented that indicate students with (n=12) and without (n=26) disabilities benefited from the PROVE strategy. (Contains references.) (CR)
Descriptors: Elementary Secondary Education, Inclusive Schools, Inquiry, Knowledge Representation