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Showing 1 to 15 of 43 results Save | Export
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Kusno; Sutarto – European Journal of Educational Research, 2022
Misconceptions are one of the biggest obstacles in learning mathematics. This study aimed to investigate students' common errors and misunderstandings they cause when defining the angle and the triangle. In addition, we investigated the metacognition/ drawing/ writing/ intervention (MDWI) strategy to change students' understanding of the wrong…
Descriptors: Mathematics Instruction, Misconceptions, Geometric Concepts, Metacognition
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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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Veena Paliwal – North American Chapter of the International Group for the Psychology of Mathematics Education, 2023
This study was designed to examine the use of mistakes to promote students' performance in undergraduate Algebra classes by developing a growth mindset. Participants were seventy-four students from three Algebra classes and received one of the three interventions along with regular instruction: (a) growth mindset feedback on mistakes…
Descriptors: Mathematics Education, Mathematics Instruction, Teaching Methods, Algebra
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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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Lewis, Heather A. – PRIMUS, 2015
Teachers often promote care in doing calculations, but for most students a single mistake rarely has major consequences. This article presents several real-life events in which relatively minor mathematical errors led to situations that ranged from public embarrassment to the loss of millions of dollars' worth of equipment. The stories here…
Descriptors: Mathematics Instruction, Error Patterns, College Mathematics, Undergraduate Study
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Ulrychová, Eva – Journal on Efficiency and Responsibility in Education and Science, 2016
The article analyses the test results evaluating the knowledge of students of basic mathematics courses at the University of Economics in Prague and at the University of Finance and Administration in Prague. The relationships between the study of the theory, the ability to formulate definitions and to solve exercises are analysed based on the…
Descriptors: Foreign Countries, Mathematics Skills, Knowledge Level, College Students
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Gerhardt, Ira – PRIMUS, 2015
An experiment was conducted over three recent semesters of an introductory calculus course to test whether it was possible to quantify the effect that difficulty with basic algebraic and arithmetic computation had on individual performance. Points lost during the term were classified as being due to either algebraic and arithmetic mistakes…
Descriptors: Mathematics Instruction, College Mathematics, Undergraduate Study, Calculus
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Gordon, Sheldon P. – PRIMUS, 2012
Data analysis methods, both numerical and visual, are used to discover a variety of surprising patterns in the errors associated with successive approximations to the derivatives of sinusoidal and exponential functions based on the Newton difference-quotient. L'Hopital's rule and Taylor polynomial approximations are then used to explain why these…
Descriptors: Mathematics Instruction, Mathematical Concepts, Error Patterns, Data Analysis
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Shipman, Barbara A.; Shipman, Patrick D. – PRIMUS, 2013
We study situations in introductory analysis in which students affirmed false statements as true, despite simple counterexamples that they easily recognized afterwards. The study draws attention to how simple counterexamples can become hidden in plain sight, even in an active learning atmosphere where students proposed simple (as well as more…
Descriptors: College Mathematics, Undergraduate Study, Mathematics Instruction, Misconceptions
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Case, Catherine; Whitaker, Douglas – Mathematics Teacher, 2016
In the criminal justice system, defendants accused of a crime are presumed innocent until proven guilty. Statistical inference in any context is built on an analogous principle: The null hypothesis--often a hypothesis of "no difference" or "no effect"--is presumed true unless there is sufficient evidence against it. In this…
Descriptors: Mathematics Instruction, Technology Uses in Education, Educational Technology, Statistical Inference
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Prentice, J. S. C. – International Journal of Mathematical Education in Science and Technology, 2011
A simple nonstiff linear initial-value problem is used to demonstrate the amplification of round-off error in the course of using a second-order Runge-Kutta method. This amplification is understood in terms of an appropriate expression for the global error. An implicit method is then used to show how the roundoff error may actually be suppressed.…
Descriptors: Mathematics Instruction, College Mathematics, Problem Solving, Error Patterns
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Cline, Kelly; Parker, Mark; Zullo, Holly; Stewart, Ann – PRIMUS, 2012
One technique for identifying and addressing common student errors is the method of classroom voting, in which the instructor presents a multiple-choice question to the class, and after a few minutes for consideration and small group discussion, each student votes on the correct answer, often using a hand-held electronic clicker. If a large number…
Descriptors: Voting, Group Discussion, Calculus, Mathematics Instruction
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Gordon, Sheldon P. – Mathematics and Computer Education, 2011
In both baseball and mathematics education, the conventional wisdom is to avoid errors at all costs. That advice might be on target in baseball, but in mathematics, it is not always the best strategy. Sometimes an analysis of errors provides much deeper insights into mathematical ideas and, rather than something to eschew, certain types of errors…
Descriptors: Mathematics Instruction, Calculus, Error Patterns, Mathematical Concepts
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Muzangwa, Jonatan; Chifamba, Peter – Acta Didactica Napocensia, 2012
This paper is going to analyse errors and misconceptions in an undergraduate course in Calculus. The study will be based on a group of 10 BEd. Mathematics students at Great Zimbabwe University. Data is gathered through use of two exercises on Calculus 1&2.The analysis of the results from the tests showed that a majority of the errors were due…
Descriptors: Misconceptions, Mathematics Instruction, College Mathematics, Calculus
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Yang, Yajun; Gordon, Sheldon P. – International Journal of Mathematical Education in Science and Technology, 2011
This article examines the question of finding the best quadratic function to approximate a given function on an interval. The prototypical function considered is f(x) = e[superscript x]. Two approaches are considered, one based on Taylor polynomial approximations at various points in the interval under consideration, the other based on the fact…
Descriptors: Intervals, Concept Formation, Mathematics Instruction, Mathematical Concepts
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