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Direct linkVenables, 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
Download full textAdiguzel, 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
Marzano, Robert J.; Norford, Jennifer S.; Paynter, Diane E.; Pickering, Debra J.; Gaddy, Barbara B. – 2001
This handbook is intended to be a self-study guide to the effective use of nine specific instructional strategies proven to improve student achievement. The strategies are: (1) identifying similarities and differences (comparing, classifying, creating metaphors, and creating analogies); (2) summarizing and note taking; (3) reinforcing effort and…
Descriptors: Academic Achievement, Advance Organizers, Cooperative Learning, Cues
