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Jianbin Fu; Xuan Tan; Patrick C. Kyllonen – Applied Measurement in Education, 2024
A process is proposed to create the one-dimensional expected item characteristic curve (ICC) and test characteristic curve (TCC) for each trait in multidimensional forced-choice questionnaires based on the Rank-2PL (two-parameter logistic) item response theory models for forced-choice items with two or three statements. Some examples of ICC and…
Descriptors: Item Response Theory, Questionnaires, Measurement Techniques, Statistics
Sourwine, Jasmine – Mathematics Teacher: Learning and Teaching PK-12, 2022
The reality is that textbooks and state standards have more content than can reasonably be covered for proficiency in most classrooms. In years past, this typically meant cutting the last unit or two or moving along regardless of who was keeping up, in many cases resulting in cutting statistics from the curriculum. This article provides five…
Descriptors: Statistics, Algebra, Social Justice, Secondary School Mathematics
Nievergelt, Yves – PRIMUS, 2022
This article provides conceptual ideas, data, and exercises, for integrating original sources of recent, state of the art, world-class life science research in the undergraduate mathematics curriculum and classroom. To this end, this article shows how one of the main goals of calculus in the life sciences, fitting parameters to data and assessing…
Descriptors: Calculus, Mathematics Instruction, Teaching Methods, Undergraduate Students
Norton, Douglas E. – PRIMUS, 2022
This paper introduces a course design for a post-Calculus undergraduate course on mathematical modeling for the life sciences. The course includes differential equations, discrete, and cellular automata approaches (among others) to modeling questions in the life sciences, as well as a variety of biological topics. The course focuses on model…
Descriptors: Undergraduate Study, College Mathematics, Mathematical Models, Biological Sciences
Bonnett, Laura J.; White, Simon R. – Teaching Statistics: An International Journal for Teachers, 2019
We describe an activity that introduces students to population modelling, enables them to use estimates obtained from a sample to infer back to the population, and understands how the findings are translatable via penguins and their poo!
Descriptors: Mathematics Activities, Mathematical Models, Statistics, Statistical Inference
Chance, Beth; Reynolds, Shea – Journal of Statistics Education, 2019
Through a series of explorations, this article will demonstrate how the Kentucky Derby winning times dataset provides various opportunities for introductory and advanced topics, from data processing to model building. Although the final goal may be a prediction interval, the dataset is rich enough for it to appear in several places in an…
Descriptors: Prediction, Statistics, Data Processing, Homework
Pfannkuch, Maxine; Ben-Zvi, Dani; Budgett, Stephanie – ZDM: The International Journal on Mathematics Education, 2018
Statistical modeling is emerging as a fertile research environment in which to promote and learn about student statistical reasoning processes. We outline a paradigm shift toward a modeling perspective that is occurring in statistics education research and how statistical modeling processes involve connecting data, chance and context. The…
Descriptors: Statistics, Teaching Methods, Mathematical Models, Mathematics Instruction
Frazier, Marian L.; LoFaro, Thomas; Pillers Dobler, Carolyn – PRIMUS, 2018
The Mathematical Association of America (MAA) and the American Statistical Association (ASA) have both updated and revised their curriculum guidelines. The guidelines of both associations recommend that students engage in a "capstone" experience, be exposed to applications, and have opportunities to communicate mathematical and…
Descriptors: Curriculum, Mathematics Instruction, Statistics, Mathematical Models
Jungck, John R. – PRIMUS, 2022
Finite Mathematics has become an enormously rich and productive area of contemporary mathematical biology. Fortunately, educators have developed educational modules based upon many of the models that have used Finite Mathematics in mathematical biology research. A sufficient variety of computer modules that employ graph theory (phylogenetic trees,…
Descriptors: Mathematics Instruction, Teaching Methods, Mathematical Models, Learning Modules
Letkowski, Jerzy – Journal of Instructional Pedagogies, 2018
Single-period inventory models with uncertain demand are very well known in the business analytics community. Typically, such models are rule-based functions, or sets of functions, of one decision variable (order quantity) and one random variable (demand). In academics, the models are taught selectively and usually not completely. Students are…
Descriptors: Models, Data Analysis, Decision Making, Teaching Methods
Andrich, David – Educational and Psychological Measurement, 2016
This article reproduces correspondence between Georg Rasch of The University of Copenhagen and Benjamin Wright of The University of Chicago in the period from January 1966 to July 1967. This correspondence reveals their struggle to operationalize a unidimensional measurement model with sufficient statistics for responses in a set of ordered…
Descriptors: Statistics, Item Response Theory, Rating Scales, Mathematical Models
Garrett, Lauretta; Huang, Li; Charleton, Maria Calhoun – Mathematics Educator, 2016
Authenticity is a term commonly used in reference to pedagogical and curricular qualities of mathematics teaching and learning, but its use lacks a coherent framework. The work of researchers in engineering education provides such a framework. Authentic qualities of mathematics teaching and learning are fit within a model described by Strobel,…
Descriptors: Mathematics Instruction, Statistics, Mathematical Models, Teaching Methods
Roscoe, Matt B. – Mathematics Teaching in the Middle School, 2016
Instead of reserving the study of probability and statistics for special fourth-year high school courses, the Common Core State Standards for Mathematics (CCSSM) takes a "statistics for all" approach. The standards recommend that students in grades 6-8 learn to summarize and describe data distributions, understand probability, draw…
Descriptors: Data Analysis, Probability, Statistics, Mathematics
Usiskin, Zalman – Mathematics Teaching in the Middle School, 2015
Common situations, like planning air travel, can become grist for mathematical modeling and can promote the mathematical ideas of variables, formulas, algebraic expressions, functions, and statistics. The purpose of this article is to illustrate how the mathematical modeling that is present in everyday situations can be naturally embedded in…
Descriptors: Mathematical Models, Mathematics Instruction, Teaching Methods, State Standards
Foster, Colin – Teaching Statistics: An International Journal for Teachers, 2012
This article advocates biased spinners as an engaging context for statistics students. Calculating the probability of a biased spinner landing on a particular side makes valuable connections between probability and other areas of mathematics. (Contains 2 figures and 1 table.)
Descriptors: Statistics, Probability, Statistical Bias, Mathematical Applications

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