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Wieschenberg, Agnes A. – 1999
This paper proposed the question "How do we teach logical thinking and sophisticated mathematics to unsophisticated college students?" One answer among many is through the writing of computer programs. The writing of computer algorithms is mathematical problem solving and logic in disguise and it may attract students who would otherwise stop…
Descriptors: Algorithms, Computer Uses in Education, Higher Education, Mathematics
Suits, Jerry P. – 2000
The results of this study are consistent with a two-stage model of learning chemistry, a multi-dimensional subject, in which students accumulate knowledge in stage one, and then restructure their knowledge in stage two. When cognitive, metacognitive and achievement variables were subjected to a predictive discriminant analysis (PDA) procedure,…
Descriptors: Achievement, Algorithms, Chemistry, College Students
Peer reviewed Peer reviewed
Gal-Ezer, Judith; Lichtenstein, Orna – Mathematics and Computer Education, 1997
Shows by means of a mathematical example how algorithmic thinking and mathematical thinking complement each other. An algorithmic approach can lead to questions that deepen the understanding of mathematics material. (DDR)
Descriptors: Algorithms, Case Studies, Cognitive Processes, Computer Science Education
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
Mason, Diana – 1995
Incident identification graphs can be used to diagnose areas of difficulty in a subject's problem-solving schema at the episodic level. In this study, 22 subjects (2 experts and 20 novices) categorized into five problem-solving groups (expert, high algorithmic/high conceptual, low algorithmic/high conceptual, high algorithmic/low conceptual, and…
Descriptors: Algorithms, Chemistry, College Students, Higher Education
Peer reviewed Peer reviewed
Gray, John S. – Journal of Computing in Higher Education, 1998
Describes use of the little-known Shuttle Puzzle in computer programming to elucidate the process of analyzing a problem and synthesizing observations into an algorithm that can be used to generate a programming solution. The process used to solve the problem reflects one that an expert uses. The method could be adapted for small-group cooperative…
Descriptors: Algorithms, Classroom Techniques, Computer Uses in Education, Cooperative Learning
Peer reviewed Peer reviewed
Otte, Michael – For the Learning of Mathematics, 1990
Compared and contrasted are the concepts intuition and logic. The ideas of conceptual thought and algorithmic thought are discussed in terms of the world as a labyrinth, intuition and time, and the structure of knowledge. (KR)
Descriptors: Abstract Reasoning, Algorithms, Cognitive Ability, Cognitive Processes
Peer reviewed Peer reviewed
Friedel, Arthur W.; And Others – School Science and Mathematics, 1990
Discussed is the effectiveness of using analogies in chemistry instruction. Students' mathematics anxiety, spatial visualization skill, and proportional reasoning ability were found to be important aptitudes for determining chemistry achievement. The relationship between analogs and algorithms is described. (KR)
Descriptors: Academic Achievement, Algorithms, Chemistry, Cognitive Development
Peer reviewed Peer reviewed
Woods, Donald R. – Journal of College Science Teaching, 1990
Described are ideas for the development of problem solving in the context of chemistry. Strategies for improving students' problem solving abilities are included. (KR)
Descriptors: Algorithms, Chemistry, College Science, Critical Thinking
Peer reviewed Peer reviewed
Guckin, Alice Mae; Morrison, Dwight – School Science and Mathematics, 1991
Described is a study that used LOGO to improve the proportional reasoning ability of students enrolled in mathematics classes for students poorly prepared for college-level mathematics. Included are the methodology, procedures for using logo, and a discussion of the results. (KR)
Descriptors: Algebra, Algorithms, Arithmetic, College Mathematics