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Wavering, Michael James – School Science and Mathematics, 2011
In his last book, "Toward a Logic of Meanings" (Piaget & Garcia, 1991), Jean Piaget describes how thought can be categorized into a form of propositional logic, a logic of meanings. The intent of this article is to offer this analysis by Piaget as a means to understand the language and teaching of science. Using binary propositions, conjunctions,…
Descriptors: Logical Thinking, Classrooms, Pedagogical Content Knowledge, Science Instruction
Li, Xiaobao; Li, Yeping – School Science and Mathematics, 2008
Mathematics and science are important for success in school, but learning mathematics and science can be a difficult task to some students. Efforts to improve students' learning of school mathematics and science have led to reform efforts in curriculum and instruction over the past decades (e.g., National Council of Teachers of Mathematics [NCTM],…
Descriptors: Learning Problems, Mathematics Education, National Competency Tests, Educational Change

Ost, David H. – School Science and Mathematics, 1985
Discusses the nature of technological literacy, considering its relationship to science education, mathematics education, and computer science education. Indicates that technological literacy is a skill and an attitude which is basic to contemporary society. Problems related to cognitive development are noted. (JN)
Descriptors: Cognitive Development, Computer Science Education, Mathematics Education, Science Education

Staver, John R. – School Science and Mathematics, 1982
A recently developed and validated group assessment instrument, the Piagetian Logical Operations Test (PLOT), is described focusing on how teachers can use PLOT in improving learning in science classrooms. PLOT is an untimed 51-item instrument consisting of 13 content, 18 decision, and 20 reason items. (MP)
Descriptors: Cognitive Development, Elementary Secondary Education, Evaluation, Evaluation Methods

Ball, Stanley – School Science and Mathematics, 1986
Presents a developmental taxonomy which promotes sequencing activities to enhance the potential of matching these activities with learner needs and readiness, suggesting that the order commonly found in the classroom needs to be inverted. The proposed taxonomy (story, skill, and algorithm) involves problem-solving emphasis in the classroom. (JN)
Descriptors: Algorithms, Classification, Cognitive Development, Elementary Education

Bratt, Marvin – School Science and Mathematics, 1980
Described are ways in which curriculum in science and mathematics may be shaped to the adolescent. Several examples relate to cognitive development, neurological functioning, physical changes, social evolution, and moral growth of the adolescent. (DS)
Descriptors: Adolescents, Cognitive Development, Curriculum Development, Elementary Secondary Education

Yeotis, Catherine; Hosticka, Alice – School Science and Mathematics, 1980
Described is a three-phase model for teaching problem solving to the middle school student. Phases include cue attendance, thinking aloud, and developing diagrams of steps to solutions. Because middle school students are in a transitional period in their cognitive processes, implementation of problem solving skills seems appropriate. (Author/DS)
Descriptors: Cognitive Development, Elementary Secondary Education, Junior High School Students, Mathematics Education

Thompson, Cathy L. – School Science and Mathematics, 1989
Discusses the advantages of using discrepant events in elementary school science classrooms in terms of motivation and problem solving skills. Describes the materials, procedures, and reasons behind five discrepant activities. (YP)
Descriptors: Cognitive Development, Cognitive Structures, Elementary School Science, Laboratory Experiments