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Cline, Kelly S.; Huckaby, David A.; Zullo, Holly – PRIMUS, 2023
Using clickers in the statistics classroom can help students identify and understand common errors and misconceptions through a combination of surprise and discussion. Students are presented with multiple-choice questions that they discuss with each other and then vote on; a class-wide discussion follows. Questions for which many students vote for…
Descriptors: Mathematics Instruction, Error Patterns, Misconceptions, Statistics Education
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Durst, Susan; Kaschner, Scott R. – PRIMUS, 2020
We explore student performance on True-False assessments with statements in the conditional form "If P then Q" in order to better understand how students process conditional logic and to see whether logical misconceptions impede students' ability to demonstrate mathematical knowledge. We administered an online assessment to a population…
Descriptors: College Mathematics, Mathematics Instruction, Undergraduate Study, Misconceptions
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Strickland, S.; Rand, B. – PRIMUS, 2016
This paper describes a framework for identifying, classifying, and coding student proofs, modified from existing proof-grading rubrics. The framework includes 20 common errors, as well as categories for interpreting the severity of the error. The coding scheme is intended for use in a classroom context, for providing effective student feedback. In…
Descriptors: Guidelines, Undergraduate Students, Classification, Mathematics Instruction