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Download full textKozarova, Nina; Duchovicova, Jana – European Journal of Contemporary Education, 2020
Thinking is the essence of human existence, unquestionably the highest product of human evolution. Yet it is not possible to convey coherently to students the sum and attainment of all humanity's knowledge. Students would be incapable of absorbing such an enormous quantity of knowledge (corresponding to current developments in individual academic…
Descriptors: Instructional Materials, Knowledge Representation, Concept Mapping, Constructivism (Learning)
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
Peer reviewedMarra, Rose M.; Jonassen, David H. – Quarterly Review of Distance Education, 2001
Examines some limitations of online course delivery and management systems in terms of the range of pedagogies they support, and explores the effects of a distance learning pedagogy that emphasizes alternative forms of knowledge representation, authentic forms of assessment, and use of distributed tools on students outcomes and student perceptions…
Descriptors: Computer Assisted Instruction, Computer Mediated Communication, Constructivism (Learning), Distance Education
