Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 0 |
| Since 2007 (last 20 years) | 4 |
Descriptor
Author
| Assaad, R. S. | 1 |
| Comstock, Jocelyne M. | 1 |
| Downing, James P. | 1 |
| Drummond, Trevor J. | 1 |
| Lu, Yun | 1 |
| Madden, Sean P. | 1 |
| Mittag, Kathleen Cage | 1 |
| Mulekar, Madhuri S. | 1 |
| Siegel, Murray H. | 1 |
| Silva-Martinez, J. | 1 |
| Sinn, Robb | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 6 |
| Reports - Descriptive | 6 |
Education Level
| Higher Education | 3 |
| High Schools | 2 |
| Postsecondary Education | 2 |
| Secondary Education | 2 |
| Grade 8 | 1 |
Audience
| Teachers | 4 |
Location
| Australia | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Lu, Yun; Vasko, Francis J.; Drummond, Trevor J.; Vasko, Lisa E. – Mathematics Teacher, 2014
If the prospective students of probability lack a background in mathematical proofs, hands-on classroom activities may work well to help them to learn to analyze problems correctly. For example, students may physically roll a die twice to count and compare the frequency of the sequences. Tools such as graphing calculators or Microsoft Excel®…
Descriptors: Probability, Mathematical Logic, Validity, Heuristics
Assaad, R. S.; Silva-Martinez, J. – IEEE Transactions on Education, 2009
Current methods of teaching basic amplifier design at the undergraduate level need further development to match today's technological advances. The general class approach to amplifier design is analytical and heavily based on mathematical manipulations. However, the students mathematical abilities are generally modest, creating a void in which…
Descriptors: Undergraduate Study, Engineering Education, Engineering, Electronics
Mulekar, Madhuri S.; Siegel, Murray H. – Mathematics Teacher, 2009
If students are to understand inferential statistics successfully, they must have a profound understanding of the nature of the sampling distribution. Specifically, they must comprehend the determination of the expected value and standard error of a sampling distribution as well as the meaning of the central limit theorem. Many students in a high…
Descriptors: Statistical Inference, Statistics, Sample Size, Error of Measurement
Sinn, Robb – Mathematics Teacher, 2007
An eighth grade algebra class used graphing calculators to simulate ecosystems. One simulation introduced mathematical chaos. The activities exposed the students to nonlinear patterns and modeling. The rate-of-change investigations related the ideas of intercept and slope to the changing equilibrium. The chaotic model intrigued them and was useful…
Descriptors: Ecology, Graphing Calculators, Grade 8, Algebra
Mittag, Kathleen Cage; Taylor, Sharon E. – Mathematics Teaching in the Middle School, 2006
One problem that students have with mathematics is that they often view the topic as a series of unrelated ideas. Sometimes they are aware that they have to know one concept to move to the next, but what is done in geometry is not necessarily related to anything in algebra. This failure to recognize mathematical connections limits students'…
Descriptors: Probability, Graphing Calculators, Mathematics Instruction, Comprehension
Madden, Sean P.; Downing, James P.; Comstock, Jocelyne M. – Mathematics Teacher, 2006
This article describes a classroom activity in which a solar eclipse is simulated and a mathematical model is developed to explain the data. Students use manipulative devices and graphing calculators to carry out the experiment and then compare their results to those collected in Koolymilka, Australia, during the 2002 eclipse.
Descriptors: Geometry, Mathematical Models, Graphing Calculators, Simulation

Peer reviewed
Direct link
