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Robinson, Alexander; Keller, L. Robin; del Campo, Cristina – Decision Sciences Journal of Innovative Education, 2022
COVID-19 pandemic policies requiring disease testing provide a rich context to build insights on true positives versus false positives. Our main contribution to the pedagogy of data analytics and statistics is to propose a method for teaching updating of probabilities using Bayes' rule reasoning to build understanding that true positives and false…
Descriptors: Data, Error Patterns, Visual Aids, Graphs
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Kalinec-Craig, Crystal; Robles, Rose Ann – Mathematics Teacher: Learning and Teaching PK-12, 2020
The article describes how one fifth-grade teacher helped her students to exercise their Rights of the Learner (e.g., to be confused; to claim a mistake; to speak, listen, and be heard; and to write, do, and represent what makes sense) as they learned to graph and interpret non-linear data.
Descriptors: Elementary School Students, Grade 5, Elementary School Teachers, Classroom Techniques
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Pelánek, Radek; Rihák, Ji?rí – International Educational Data Mining Society, 2016
In online educational systems we can easily collect and analyze extensive data about student learning. Current practice, however, focuses only on some aspects of these data, particularly on correctness of students answers. When a student answers incorrectly, the submitted wrong answer can give us valuable information. We provide an overview of…
Descriptors: Foreign Countries, Online Systems, Geography, Anatomy
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Gordon, Sheldon P. – Mathematics Teacher, 2011
In mathematics, as in baseball, the conventional wisdom is to avoid errors at all costs. That advice might be on target in baseball, but in mathematics, avoiding errors is not always a good idea. Sometimes an analysis of errors provides much deeper insights into mathematical ideas. Certain types of errors, rather than something to be eschewed, can…
Descriptors: Error Patterns, Calculus, Mathematics Instruction, Graphs
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Scheuermann, Amy; van Garderen, Delinda – Mathematics Teaching in the Middle School, 2008
Students are often told to use representations to solve mathematics problems, yet it may be a hindrance for many. This article contains an approach, the Graphic Representational Analysis Process, that teachers can use to analyze representations and focus future instruction. (Contains 7 figures.)
Descriptors: Error Patterns, Misconceptions, Mathematics Instruction, Graphs
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Wainer, Howard – Journal of Educational and Behavioral Statistics, 2010
In this essay, the author tries to look forward into the 21st century to divine three things: (i) What skills will researchers in the future need to solve the most pressing problems? (ii) What are some of the most likely candidates to be those problems? and (iii) What are some current areas of research that seem mined out and should not distract…
Descriptors: Research Skills, Researchers, Internet, Access to Information
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Gordon, Sheldon P. – PRIMUS, 2005
The possibility of approximating a function with a linear combination of exponential functions of the form e[superscript x], e[superscript 2x], ... is considered as a parallel development to the notion of Taylor polynomials which approximate a function with a linear combination of power function terms. The sinusoidal functions sin "x" and cos "x"…
Descriptors: Mathematics, Theories, Mathematics Education, Calculus
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Strober, Myra H.; And Others – Journal of Economic Education, 1997
Replicates an earlier study that used videotapes to examine the types of errors made by novice economics students in graphic analysis of a simple supply-demand problem. Further explores the issue by improving the framework for analyzing errors and documenting some methods used by novice groups to correct errors. (MJP)
Descriptors: Content Analysis, Economics, Economics Education, Educational Media