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Gulacar, Ozcan; Tan, Alexandra; Cox, Charles T., Jr.; Bloomquist, Jennifer; Jimmy, Okechukwu; Cao, Nguyen – Education Sciences, 2019
To gauge the variability in expert problem-solving strategies for stoichiometry problems, a set of experts in different career tracks were studied with the cohort including 17 graduate students in chemistry, three college chemistry instructors, and seven college graduates working in the industry. The goal of the study was to determine whether…
Descriptors: Expertise, Problem Solving, Stoichiometry, Chemistry
Gulacar, Ozcan; Eilks, Ingo; Bowman, Charles R. – Journal of Chemical Education, 2014
This paper reports a comparison of a group of higher-and lower-achieving undergraduate chemistry students, 17 in total, as separated on their ability in stoichiometry. This exploratory study of 17 students investigated parallels and differences in the students' general and domain-specific cognitive abilities. Performance, strategies, and mistakes…
Descriptors: Science Instruction, College Science, Undergraduate Students, Chemistry
Gulacar, Ozcan; Overton, Tina L.; Bowman, Charles R.; Fynewever, Herb – Chemistry Education Research and Practice, 2013
A coding scheme is presented and used to evaluate solutions of seventeen students working on twenty five stoichiometry problems in a think-aloud protocol. The stoichiometry problems are evaluated as a series of sub-problems (e.g., empirical formulas, mass percent, or balancing chemical equations), and the coding scheme was used to categorize each…
Descriptors: Stoichiometry, Protocol Analysis, Chemistry, Science Instruction
Gulacar, Ozcan; Bowman, Charles R.; Feakes, Debra A. – Science Education International, 2013
The problem-solving strategies of students enrolled in general chemistry courses have been the subject of numerous research investigations. In most cases, the investigators were interested in the specific areas or concepts that posed the greatest difficulty to a student's success in achieving the correct answer. However, the investigation reported…
Descriptors: Problem Solving, College Students, Chemistry, Science Instruction
Gulacar, Ozcan; Fynewever, Herb – International Journal of Science Education, 2010
We present a quantitative model for predicting the level of difficulty subjects will experience with specific problems. The model explicitly accounts for the number of subproblems a problem can be broken into and the difficultly of each subproblem. Although the model builds on previously published models, it is uniquely suited for blending with…
Descriptors: Stoichiometry, Protocol Analysis, Difficulty Level, Problem Solving