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Eric D. Glendening; Steven D. Burke; John W. Moore; Frank Weinhold – Journal of Chemical Education, 2022
Traditional physical chemistry conceptions of reaction mechanism are formulated in terms of stationary points of an Arrhenius-style "energy profile" that differs sharply (in purpose and form) from the corresponding Robinson-style "arrow-pushing" mechanistic conceptions of organic chemistry. We show here how these diverse…
Descriptors: Chemistry, Science Education, Scientific Concepts, Theories
Ling Yuan; Chunxiao Meng; Huiyu Hou; Hongzhang Wang; Changwei Pan; Juan Ma; Chenghao Zhu; Qingyu Gao – Journal of Chemical Education, 2022
Nonlinear chemical reactions produce interesting chemohydrodynamic patterns in an unstirred medium, which act as interesting demonstrations to display the novel phenomena in a nonequilibrium chemical system. Here, we report new outreach experiments: pH chemohydrodynamic patterns modulated by sodium polyacrylate in the bromate-sulfite-ferrocyanide…
Descriptors: Chemistry, Scientific Concepts, Science Education, Science Experiments
Mulvey, Bridget – Science Teacher, 2016
Students best learn science through a combination of science inquiry and language learning. This article presents a series of chemistry lessons on the naming of compounds. The weeklong unit focuses on patterns across compound names and chemical formulas and addresses several of the "Next Generation Science Standards" (NGSS Lead States…
Descriptors: Science Instruction, Chemistry, Scientific Concepts, Naming
Olsen, Robert J. – Journal of Chemical Education, 2008
I describe how data pooling and data visualization can be employed in the first-semester general chemistry laboratory to introduce core statistical concepts such as central tendency and dispersion of a data set. The pooled data are plotted as a 1-D scatterplot, a purpose-designed number line through which statistical features of the data are…
Descriptors: Familiarity, Visualization, Chemistry, Laboratories
Schultz, Emeric – Journal of Chemical Education, 2005
An approach to learning chemical facts that starts with the periodic table and depends primarily on recognizing and completing patterns and following a few simple rules is described. This approach exploits the exceptions that arise and uses them as opportunities for further concept development.
Descriptors: Concept Formation, Pattern Recognition, Chemistry, Tables (Data)

Schrader, C. L. – Journal of Chemical Education, 1984
Discusses instructional strategies and activities designed to help students learn to recognize patterns and to create models to explain patterns. These include laboratory investigations and an exercise in which students are challenged to find the model used for the classroom seating arrangement. (JN)
Descriptors: Chemistry, High Schools, Models, Pattern Recognition
Lawlor, Joseph – 1984
Artificial intelligence (AI) is the field of scientific inquiry concerned with designing machine systems that can simulate human mental processes. The field draws upon theoretical constructs from a wide variety of disciplines, including mathematics, psychology, linguistics, neurophysiology, computer science, and electronic engineering. Some of the…
Descriptors: Artificial Intelligence, Chemistry, Cognitive Processes, Computer Science

Fensham, Peter; Kornhauser, Aleksandra – Journal of Chemical Education, 1982
Two presentations at the 1981 International Conference on Chemical Education are summarized: (1) current and future rationales for chemistry instruction and use of Gowin's V for more effective chemistry teaching and (2) creative adaptability toward challenges of chemistry content, society, and the individual, focusing on learning chemistry by…
Descriptors: Chemistry, College Science, Concept Formation, Educational Objectives