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Pushkin, David B. – Journal of Chemical Education, 1998
Addresses the distinction between conceptual and algorithmic learning and the clarification of what is meant by a second-tier student. Explores why novice learners in chemistry and physics are able to apply algorithms without significant conceptual understanding. (DDR)
Descriptors: Algorithms, Chemistry, Cognitive Psychology, Concept Formation
Peer reviewed Peer reviewed
Zoller, Uri; And Others – Journal of Chemical Education, 1995
Analyzes differences in students' performance on algorithmic, lower-order cognitive skills (LOCS), and conceptual exam questions and the correlations between their achievements on these categories across different populations.Reports that the highest scores were obtained for the algorithmic questions, the lowest for the conceptual questions, and…
Descriptors: Algorithms, Chemistry, Cognitive Ability, Cognitive Measurement
Peer reviewed Peer reviewed
Niaz, Mansoor – Journal of Chemical Education, 1989
Defines M-demand as the maximum number of schemes that the subject must activate simultaneously in the course of executing a task. Discusses the effect of M-demand on problem solving. Uses algorithms to reduce M-demand. Describes the role of algorithms in problem solving. (MVL)
Descriptors: Algorithms, Chemistry, Cognitive Development, Cognitive Processes