ERIC Number: EJ1036352
Record Type: Journal
Publication Date: 2014-Aug
Abstractor: As Provided
Reference Count: 5
An Improved Decision Tree for Predicting a Major Product in Competing Reactions
Graham, Kate J.
Journal of Chemical Education, v91 n8 p1267-1268 Aug 2014
When organic chemistry students encounter competing reactions, they are often overwhelmed by the task of evaluating multiple factors that affect the outcome of a reaction. The use of a decision tree is a useful tool to teach students to evaluate a complex situation and propose a likely outcome. Specifically, a decision tree can help students predict a major product in substitution and elimination reactions.
Descriptors: Science Instruction, College Science, Undergraduate Study, Chemistry, Prediction, Mnemonics, Rote Learning, Problem Solving, Decision Making, Scientific Principles
Division of Chemical Education, Inc and ACS Publications Division of the American Chemical Society. 1155 Sixteenth Street NW, Washington, DC 20036. Tel: 800-227-5558; Tel: 202-872-4600; e-mail: email@example.com; Web site: http://pubs.acs.org/jchemeduc
Publication Type: Journal Articles; Reports - Descriptive
Education Level: Higher Education; Postsecondary Education
Authoring Institution: N/A