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Oxman, Victor; Stupel, Moshe – International Journal of Mathematical Education in Science and Technology, 2022
We present action research of a problem posed as part of a multi-participant national (Israeli) test checking the mathematical knowledge of high school students at the ages of 16-17, where some of those who solved this problem made an error by using the converse to a well-known theorem, where the converse is not true. In order to examine the…
Descriptors: Knowledge Level, High School Students, Problem Solving, Error Patterns
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Reid O'Connor, Bronwyn – Australian Mathematics Education Journal, 2022
Quadratic equations are a notorious topic for the challenge it provides to students in secondary mathematics. Despite this, there is limited research, particularly in the Australian context, that explains why such challenges persist. This article details the causes of Year 11 students' difficulties in solving quadratic equations. Observing…
Descriptors: Equations (Mathematics), Mathematics Instruction, Secondary School Students, Grade 11
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Oliveira, Vitor – Physics Education, 2022
We discuss the limits of the equation of the period of a simple pendulum, T[subscript s] = 2[pi][square root]l/g, frequently used in high-school and university classrooms to measure the acceleration of gravity. We evaluate the relative error in determining the acceleration of gravity with this simple equation instead of a more realistic one,…
Descriptors: Physics, Teaching Methods, Science Instruction, Accuracy
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Ball, Lynda – International Journal for Technology in Mathematics Education, 2018
This paper provides a set of five indicators of CAS use, which provide a means to analyse a student's written solution to determine whether they used CAS for solving a given problem. These indicators provide a way for researchers and teachers to determine CAS use without requiring classroom observation or the explicit recording of extra…
Descriptors: Computer Uses in Education, Handheld Devices, Calculators, Algebra
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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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Prilliman, Stephen G. – Journal of Chemical Education, 2012
An inquiry-based laboratory exercise is described in which introductory chemistry students measure the density of water five times using either a beaker, a graduated cylinder, or a volumetric pipet. Students are also assigned to use one of two analytical balances, one of which is purposefully miscalibrated by 5%. Each group collects data using…
Descriptors: Chemistry, Science Instruction, Science Laboratories, Secondary School Science
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Bonner, David – Science Teacher, 2012
Conducting labs isn't a new way to teach physics, but labs have become increasingly prevalent with the rise of inquiry. Physics students collect mostly quantitative data, often represented by graphs or tables. Interpreting this data can be a challenge for students, especially when it comes to experimental error. To address this issue, this article…
Descriptors: Physics, Science Instruction, Science Laboratories, Inquiry
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Devlin, Keith – Mathematics Teacher, 2010
The mathematics that students see in their textbooks is highly polished. The steps required to solve a problem are all clearly laid out. Thus, students are denied what could be a valuable learning experience. Often when students meet a problem that differs only slightly from the ones in the book, they are unable to proceed and afraid to "play…
Descriptors: Textbooks, Error Patterns, Probability, Learning Experience
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Lazar, Ann A.; Zerbe, Gary O. – Journal of Educational and Behavioral Statistics, 2011
Researchers often compare the relationship between an outcome and covariate for two or more groups by evaluating whether the fitted regression curves differ significantly. When they do, researchers need to determine the "significance region," or the values of the covariate where the curves significantly differ. In analysis of covariance (ANCOVA),…
Descriptors: Statistical Analysis, Evaluation Research, Error Patterns, Bias