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Oi-Lam Ng – For the Learning of Mathematics, 2025
This essay extends beyond the characteristics and discourse of word problems to, more generally, school mathematical problem-solving and the implications entailed by a predominant paper-and-pencil mode of learning and instruction since the modern era of education. Contrasting what I call "one-handed" (with paper-and-pencil) with…
Descriptors: Thinking Skills, Computation, Problem Solving, Mathematics Education
Najim Oumelaid; Brahim El Boukari; Jalila El Ghordaf – Journal of Education and Learning (EduLearn), 2025
This paper presents the findings of a comprehensive experimental study examining the impact of computer-assisted instruction (CAI) compared to traditional teaching methods on learner performance and motivation in mathematics education. The study, conducted with 80 first-year college learners from a primary school in Morocco, aimed to assess the…
Descriptors: Foreign Countries, Computer Assisted Instruction, Conventional Instruction, Student Motivation
Andrei Ludu; Maria Ludu; Teha Cooks – Journal of Computers in Mathematics and Science Teaching, 2025
This paper presents research activity on computer-based mathematics learning to study the effectiveness of open-source teaching computer platforms (Canvas) in computer-assisted instruction. We designed a set of multiple-choice online quizzes as a dynamical flow-chart of possible paths to follow while solving a difficult math problem on…
Descriptors: Teaching Methods, Computer Assisted Instruction, Mathematics Education, Engineering Education
Young, Jamaal Rashad – International Journal of Educational Methodology, 2016
Teaching with technology is considered a necessity in the U.S. mathematics classroom. However, few studies have established explicit considerations to support technology-enhanced student achievement. The purpose of this study was to characterize the effectiveness of technology in the mathematics classroom by systematically reviewing meta-analytic…
Descriptors: Educational Technology, Technology Uses in Education, Pedagogical Content Knowledge, Technological Literacy
Liang, Jiajuan; Pan, William S. Y. – American Journal of Business Education, 2009
MATLAB is a powerful package for numerical computation. MATLAB contains a rich pool of mathematical functions and provides flexible plotting functions for illustrating mathematical solutions. The course of calculus-based business mathematics consists of two major topics: 1) derivative and its applications in business; and 2) integration and its…
Descriptors: Calculus, Mathematics Education, Business Administration Education, Undergraduate Students
Campbell, Stephen R.; Cimen, O. Arda; Handscomb, K. – Online Submission, 2009
A widely recognized concern in elementary school mathematics education is that teachers' understanding of the mathematical curricular content generally appears quite fragmented, sparsely connected, and procedurally oriented. This pilot study applies methods of educational neuroscience to investigate and improve preservice teachers' learning and…
Descriptors: Preservice Teachers, Elementary School Mathematics, Mathematics Education, Numbers
McDonald, Jacqueline; And Others – Focus on Learning Problems in Mathematics, 1992
Reports a study to explore student's computational performance on computer-administered testing situations while at the computer. Students from grades 3-6 (n=100) were randomly assigned to treatment order, computer assessment first or paper/pencil assessment first. Significant differences occurred in three areas: completion time, number of mental…
Descriptors: Computation, Computer Assisted Instruction, Computer Assisted Testing, Diagnostic Tests
Peer reviewedParker, Janet; Widmer, Connie Carroll – Arithmetic Teacher, 1992
Describes the method to solve problems called T-E-M-T-T: trial, error, and modified trial through technology. The method integrates students' skills of estimation, mental computation, and appropriate choice of calculator use. Includes 2 activities for each of grades K-4 and 5-8 that illustrate the method. (MDH)
Descriptors: Calculators, Computation, Computer Assisted Instruction, Elementary Education
Peer reviewedGlidden, Peter Lochiel – Mathematics Teacher, 1992
Offers examples of loss of accuracy when using digital computing devices. Discusses causes for loss of accuracy and methods of preventing loss. Presents implications that loss of accuracy has for mathematics instruction. (MDH)
Descriptors: Calculators, Computation, Computer Assisted Instruction, Mathematics Education
Peterson, Ivars – Science News, 1991
A method that enables people to obtain the benefits of statistics and probability theory without the shortcomings of conventional methods because it is free of mathematical formulas and is easy to understand and use is described. A resampling technique called the "bootstrap" is discussed in terms of application and development. (KR)
Descriptors: College Mathematics, Computation, Computer Assisted Instruction, Higher Education
Peer reviewedThomas, David A. – Journal of Computers in Mathematics and Science Teaching, 1990
Described is an approach to computational matrix algebra that takes advantage of a high quality, low cost microcomputer software package. The examples and applications discussed focus on matrix multiplication. (Author/CW)
Descriptors: Algebra, College Mathematics, Computation, Computer Assisted Instruction
Peer reviewedPalmiter, Jeanette R. – Journal for Research in Mathematics Education, 1991
A study compared the performance of two groups of university students. One group (n=40) was taught calculus using a computer algebra system whereas the other (n=41) used paper-and-pencil computations. The computer group scored significantly higher than their counterparts on both a conceptual knowledge test and a calculus computational exam. (JJK)
Descriptors: Calculus, College Mathematics, Comparative Analysis, Computation
Peer reviewedFay, Temple H. – Mathematics and Computer Education, 1990
Described is an approach to the derivation of numerical integration formulas. Students develop their own formulas using polynomial interpolation and determine error estimates. The Newton-Cotes formulas and error analysis are reviewed. (KR)
Descriptors: Algebra, College Mathematics, Computation, Computer Assisted Instruction
Peer reviewedFlanders, Harley – College Mathematics Journal, 1987
Computing pi efficiently has been of great interest to mathematicians for centuries. This article presents an algorithm to solve this problem through skillful computer use. (PK)
Descriptors: Algorithms, College Mathematics, Computation, Computer Assisted Instruction
Peer reviewedKing, Amy C.; Wilson, Joel E. – School Science and Mathematics, 1991
The purpose of this paper is to show, by computer examples, that very different results can be obtained by rearranging selected conditionally convergent series. Computer programs allow the students to select the real number to which they wish the rearrangement to converge. Two computer programs are appended. (KR)
Descriptors: Calculus, College Mathematics, Computation, Computer Assisted Instruction

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