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Suzanne Dorée; Jennifer Quinn – PRIMUS, 2024
This paper is a practical how-to guide to help you start using active learning or to have greater success and more fun with it. We categorize active learning techniques as Think, Pair, Share, Composite, Group, Move, or Lead and discuss how to implement activities in each category, along with advice on creating engaging, effective, and equitable…
Descriptors: Active Learning, Learning Activities, Mathematics Instruction, Sequential Approach
Malagon, Audrey – PRIMUS, 2023
The mathematical egg hunt is a hands-on activity designed to help students understand mathematical relations in an Introduction to Proofs course. This activity gives students the opportunity to practice selecting which ordered pairs do and do not belong to a given relation in a moderately competitive egg hunt. It is designed to be low-stakes, yet…
Descriptors: Mathematics Education, Active Learning, Mathematical Logic, Validity
Lewis, Drew; Clontz, Steven; Estis, Julie – PRIMUS, 2021
Team-Based Learning (TBL) is a cooperative learning strategy blending elements of flipped learning, inquiry-based learning, and problem-based learning. Although used quite frequently in other disciplines, use of this strategy in mathematics has been limited. In this article, we describe how TBL can be implemented in math courses with adherence to…
Descriptors: Cooperative Learning, Inquiry, Active Learning, Flipped Classroom
Shelton, Therese; Laurent, Theresa; Agyemang-Barimah, Beulah – PRIMUS, 2019
We present adaptable activities for models of drug movement in the human body -- pharmacokinetics -- that motivate the learning of ordinary differential equations with an interdisciplinary topic. Specifically, we model aspirin, caffeine, and digoxin. We discuss the pedagogy of guiding students to understand, develop, and analyze models,…
Descriptors: Equations (Mathematics), Active Learning, Calculus, Pharmacology
Helmreich, James E.; Krog, K. Peter – PRIMUS, 2018
We present a short, inquiry-based learning course on concepts and methods underlying ordinary least squares (OLS), least absolute deviation (LAD), and quantile regression (QR). Students investigate squared, absolute, and weighted absolute distance functions (metrics) as location measures. Using differential calculus and properties of convex…
Descriptors: Least Squares Statistics, Regression (Statistics), Active Learning, Inquiry

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