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Farhat, Naha J.; Stanford, Courtney; Ruder, Suzanne M. – Journal of Chemical Education, 2019
Assessments can provide instructors and students with valuable information regarding student's level of knowledge and understanding, in order to improve both teaching and learning. In this study, we analyzed departmental assessment quizzes given to students at the start of Organic Chemistry 2, over an eight year period. This assessment quiz was…
Descriptors: Organic Chemistry, Teaching Methods, Science Instruction, Science Tests
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Joseph, Ariana; Budden, Katherine; Cisek, Richard; Tokarz, Danielle – Journal of Chemical Education, 2018
In a university third-year instrumental chemistry laboratory students build a laser based polarimeter for determining light scattering with commercially available optical components used in modern optics research laboratories. During this laboratory experiment, students learn that solutions containing molecules which scatter light also influence…
Descriptors: Chemistry, Science Instruction, Undergraduate Students, Error Patterns
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Larson, Kathleen G.; Long, George R.; Briggs, Michael W. – Journal of Chemical Education, 2012
The mental models of both novice and advanced chemistry students were observed while the students performed a periodic table activity. The mental model framework seems to be an effective way of analyzing student behavior during learning activities. The analysis suggests that students do not recognize periodic trends through the examination of…
Descriptors: Chemistry, Heuristics, Science Instruction, Inquiry
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Cook, Elzbieta; Cook, Stephen L. – Journal of Chemical Education, 2005
The cross-proportion method allows both the instructor and the student to easily determine where an error is made during problem solving. The C-P method supports a strong cognitive foundation upon which students can develop other diagnostic methods as they advance in chemistry and scientific careers.
Descriptors: Problem Solving, Error Patterns, Teaching Methods, Chemistry
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Rusling, James F. – Journal of Chemical Education, 1988
Investigates minimizing errors in computational methods commonly used in chemistry. Provides a series of examples illustrating the propagation of errors, finite difference methods, and nonlinear regression analysis. Includes illustrations to explain these concepts. (MVL)
Descriptors: Chemistry, College Science, Computation, Computer Uses in Education