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Peer reviewedNiaz, Mansoor – Journal of College Science Teaching, 1996
Analyzes the great diversity in problem-solving strategies used by students in solving a chemistry problem and discusses the relationship between these variables and different cognitive variables. Concludes that students try to circumvent certain problem-solving strategies by adapting flexible and stylistic innovations that render the cognitive…
Descriptors: Chemistry, Cognitive Processes, Evaluation, Higher Education
Peer reviewedTsaparlis, Georgios; Kousathana, Margarita; Niaz, Mansoor – Science Education, 1998
Examines the effect of the manipulation of logical structure as well as the specific mental demand of general chemistry problems on student performance. Studies the relationship between student performance on these problems and a number of cognitive variables. Contains 96 references. (DDR)
Descriptors: Chemical Equilibrium, Chemical Reactions, Chemistry, Cognitive Processes
Peer reviewedNiaz, Mansoor – Journal of Science Education and Technology, 2001
Illustrates how a novel problem of chemical equilibrium based on a closely related sequence of items can facilitate students' conceptual understanding. Students were presented with a chemical reaction in equilibrium to which a reactant was added as an external effect. Three studies were conducted to assess alternative conceptions. (Author/SAH)
Descriptors: Chemical Equilibrium, Chemical Reactions, Chemistry, Cognitive Processes
Peer reviewedNiaz, Mansoor – Research in Science and Technological Education, 1989
The purpose of this study was to develop a procedure for the evaluation of M-demand of chemistry problems. It was shown that dimensional analysis upon the Neo-Piagetian theory of Pascual-Leone could help science teachers to understand the epistemological basis of their discipline. (CW)
Descriptors: Chemistry, Cognitive Development, Cognitive Processes, Cognitive Psychology
Niaz, Mansoor – 1995
The main objective of the study reported in this paper was to construct a Lakatosian teaching strategy that can facilitate conceptual change in students' understanding of chemical equilibrium. The strategy is based on the premise that cognitive conflicts must have been engendered by the students themselves in trying to cope with different problem…
Descriptors: Beliefs, Chemical Equilibrium, Cognitive Processes, Concept Formation
Peer reviewedNiaz, Mansoor – Journal of Research in Science Teaching, 1988
Investigates the effect of increase of the M demand of chemistry problems, having the same logical structure, on performance of students having different functional M capacity, cognitive style, and formal operational reasoning patterns. (Author/YP)
Descriptors: Chemistry, Cognitive Processes, Cognitive Style, Cognitive Tests
Peer reviewedNiaz, Mansoor – Journal of Research in Science Teaching, 1995
Exposure of an experimental group of (n=33) college freshmen to teaching experiments dealing with stoichiometry problems based on the concept of limiting reagent showed greater improvement in posttests than the (n=39) student control group and observed that some students protect their core beliefs by ignoring conflicting data. (Author/MKR)
Descriptors: Academic Achievement, Beliefs, Chemistry, Cognitive Processes
Niaz, Mansoor – 1993
Achievement in science depends among other factors on hypothetico-deductive reasoning ability; that is, on the developmental level of the students. Recent research indicates that developmental level of the students should be studied along with individual difference variables such as Pascual-Leone's M-capacity (information processing) and Witkin's…
Descriptors: Academic Achievement, Chemistry, Cognitive Processes, College Freshmen
Peer reviewedNiaz, 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


