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IADIS
2004
15 years 7 months ago
Erroneous Examples as a Source of Learning in Mathematics
We analyze why and how erroneous examples can be beneficially employed in learning mathematics. The `Why' addresses reasoning and attitudes that are rarely fostered in today&...
Erica Melis
ECIS
2003
15 years 7 months ago
Implications of constructivism for computer-based learning
Constructivism has gained popularity recently, but it is not a completely new learning paradigm. Much of the work within Information Systems Science (IS) and especially within ele...
Timo Lainema
CONNECTION
2006
101views more  CONNECTION 2006»
15 years 6 months ago
Learning acceptable windows of contingency
By learning a range of possible times over which the effect of an action can take place, a robot can reason more effectively about causal and contingent relationships in the world...
Kevin Gold, Brian Scassellati
MHVR
1994
119views Multimedia» more  MHVR 1994»
15 years 10 months ago
The Development of a Virtual world for Learning Newtonian Mechanics
We are collaboratively designing "ScienceSpace," a collection of virtual worlds designed to explore the potential utility of physical immersion and multisensory perceptio...
Christopher J. Dede, Marilyn C. Salzman, R. Bowen ...
GECCO
2006
Springer
188views Optimization» more  GECCO 2006»
15 years 10 months ago
Dominance learning in diploid genetic algorithms for dynamic optimization problems
This paper proposes an adaptive dominance mechanism for diploidy genetic algorithms in dynamic environments. In this scheme, the genotype to phenotype mapping in each gene locus i...
Shengxiang Yang