NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 4 results Save | Export
Peer reviewed Peer reviewed
Niaz, Mansoor – Science Education, 1995
Describes a study with the main objective of constructing models based on strategies students use to solve chemistry problems and to show that these models form sequences of progressive transitions termed "problemshifts" that increase the explanatory/heuristic power of the model. Results implies that the relationship between algorithmic…
Descriptors: Algorithms, Chemistry, Concept Formation, Models
Peer reviewed Peer reviewed
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
Stewart, Jim; Dale, Michael – Science Education, 1989
Investigates high school students' understanding of the physical relationship of chromosomes and genes as expressed in their conceptual models and in their ability to manipulate the models to explain solutions to dihybrid cross problems. Describes three typical models and three students' reasoning processes. Discusses four implications. (YP)
Descriptors: Algorithms, Biology, Concept Formation, Fundamental Concepts
Peer reviewed Peer reviewed
Noh, Taehee; Scharmann, Lawrence C. – Journal of Research in Science Teaching, 1997
Describes a study that explores the instructional influence of presenting pictures at the molecular level when introducing chemistry concepts and solving chemistry problems. Explores the effect of the pictures on students' conceptions and problem-solving abilities. Contains 59 references. (DDR)
Descriptors: Algorithms, Analysis of Covariance, Chemistry, Cognitive Structures