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Showing 1 to 15 of 25 results Save | Export
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Schwartzman, Steven – Mathematics and Computer Education, 1996
Discusses common misconceptions in algebra, including: grouping symbols and order of operations; equations, inequalities, and expressions; and domains. Offers recommendations to help students avoid these mistakes. (MKR)
Descriptors: Algebra, Higher Education, Mathematics Instruction, Misconceptions
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Boyer, Kristy Elizabeth, Ed.; Yudelson, Michael, Ed. – International Educational Data Mining Society, 2018
The 11th International Conference on Educational Data Mining (EDM 2018) is held under the auspices of the International Educational Data Mining Society at the Templeton Landing in Buffalo, New York. This year's EDM conference was highly competitive, with 145 long and short paper submissions. Of these, 23 were accepted as full papers and 37…
Descriptors: Data Collection, Data Analysis, Computer Science Education, Program Proposals
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Hazzan, Orit; Leron, Uri – For the Learning of Mathematics, 1996
Explores (n=113) computer science majors' understanding of Lagrange's Theorem (the order of a subgroup divides the order of a finite group), its converse, and its applications. (SW)
Descriptors: Foreign Countries, Higher Education, Mathematics Instruction, Misconceptions
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Bezuidenhout, Jan – International Journal of Mathematical Education in Science and Technology, 1998
Explores first-year students' understanding of fundamental calculus concepts using written tests and interviews. Analysis of the written and verbal responses to the test items revealed significant misconceptions on which students' mathematical activities were based. Describes some of those misconceptions and errors relating to students'…
Descriptors: Calculus, Higher Education, Mathematical Concepts, Mathematics Education
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Abramovitz, B.; Berezina, M.; Berman, A. – International Journal of Mathematical Education in Science and Technology, 2002
Presents a variety of examples of wrong proofs, misinterpreted definitions, and the mistaken use of theory. Examples are based on experience teaching mathematics to engineering students. Includes elementary examples and more advanced ones taken from different subjects. (Author)
Descriptors: Engineering Education, Higher Education, Mathematics Instruction, Misconceptions
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Bezuidenhout, Jan – International Journal of Mathematical Education in Science and Technology, 2001
Examines first-year university students' (n=630) understanding of fundamental calculus concepts at three South African universities. Identifies several misconceptions underlying students' understanding of calculus concepts. Addresses some of the common errors and misconceptions related to students' understanding of 'limit of a function' and…
Descriptors: Calculus, Cognitive Processes, College Mathematics, Foreign Countries
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Parish, Charles R.; Ludwig, Hubert J. – School Science and Mathematics, 1994
Illustrates, categorizes, and analyzes typical mathematical errors in algebra and trigonometry made by high school and lower division college students. (16 references) (Author/MKR)
Descriptors: Algebra, Error Patterns, Higher Education, Mathematics Education
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Boelkins, Matthew R. – Primus, 1998
In standard mathematical notation it is common to have a given symbol take on different meanings in different settings. Shares anecdotes of how this symbolic double entendre causes difficulties for students. Suggests ways in which instructors can clarify these ambiguities to make mathematics more understandable to students. (Author/ASK)
Descriptors: Algebra, Calculus, College Mathematics, Higher Education
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Elk, Seymour B. – International Journal of Mathematical Education in Science and Technology, 1997
Suggests that the cross product of two vectors can be more easily and accurately explained by starting from the perspective of dyadics because then the concept of vector multiplication has a simple geometrical picture that encompasses both the dot and cross products in any number of dimensions in terms of orthogonal unit vector components. (AIM)
Descriptors: Analytic Geometry, Calculus, Higher Education, Mathematical Concepts
Kaur, Berinderjeet; Sharon, Boey Huey Peng – Focus on Learning Problems in Mathematics, 1994
An algebra test administered to (n=18) first-year college students found a disregard for negative numbers, ineffective use of counterexamples, misapplication of rules, and a lack of a good grasp of relevant mathematical terminology. (12 references) (MKR)
Descriptors: Algebra, Algorithms, College Freshmen, Foreign Countries
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Dibble, William E.; Hart, Grant W.; Stokes, Harold T. – Physics Teacher, 1999
Advocates the use of subscripts in the formula for relativistic velocity addition to minimize student confusion. (WRM)
Descriptors: Equations (Mathematics), High Schools, Higher Education, Mathematics Instruction
delMas, Robert C.; Bart, William M. – Focus on Learning Problems in Mathematics, 1989
Investigated are three misconceptions of probability and the differential effect of two activity-based instructional units. Response categories (law of averages, law of small numbers, and availability) are identified. Treatment differences (evaluation or no evaluation) appear to influence subjects' interpretations of the information. (YP)
Descriptors: Achievement Tests, Cognitive Structures, College Mathematics, Higher Education
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Graeber, Anna O.; And Others – Journal for Research in Mathematics Education, 1989
Studied were the misconceptions that preservice elementary teachers have about multiplication and division. Results indicated that they are influenced by the same primitive models as students; the most common errors made by both groups are quite similar. (MNS)
Descriptors: Cognitive Structures, College Students, Computation, Concept Formation
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Clements, Douglas H. – Teaching Children Mathematics, 1997
Discusses misconceptions about constructivism by identifying related myths such as students should always be actively and reflectively constructing, manipulatives make learners active, and cooperative learning is constructivist. One central goal of constructivism should be that students become autonomous and self-motivated in their learning.…
Descriptors: Cognitive Development, Concept Formation, Constructivism (Learning), Elementary Secondary Education
Piel, John A.; Green, Michael – Focus on Learning Problems in Mathematics, 1994
Argues that intuitive and computational knowledge can be combined by focusing more explicitly on referential and quantitative meanings in division of fractions problems. Recommends teaching mathematics as problem solving, communication, reasoning, and connections to help students overcome misunderstandings and connect their intuitive knowledge…
Descriptors: Computation, Division, Education Majors, Fractions
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