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) | 3 |
Descriptor
| Bayesian Statistics | 4 |
| Mathematical Formulas | 4 |
| Mathematical Logic | 4 |
| Probability | 3 |
| Computation | 2 |
| Mathematics Skills | 2 |
| Teaching Methods | 2 |
| Case Method (Teaching… | 1 |
| Cognitive Psychology | 1 |
| College Mathematics | 1 |
| Concept Formation | 1 |
| More ▼ | |
Author
| CadwalladerOlsker, Todd D. | 1 |
| Feldman, Jacob | 1 |
| Goodman, Noah D. | 1 |
| Griffiths, Thomas L. | 1 |
| Jarrell, Stephen | 1 |
| Satake, Eiki | 1 |
| Tenenbaum, Joshua B. | 1 |
| Vashlishan Murray, Amy | 1 |
Publication Type
| Journal Articles | 4 |
| Reports - Descriptive | 2 |
| Reports - Evaluative | 2 |
Education Level
| Higher Education | 1 |
Audience
| Teachers | 2 |
| Practitioners | 1 |
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Satake, Eiki; Vashlishan Murray, Amy – Teaching Statistics: An International Journal for Teachers, 2015
This paper presents a comparison of three approaches to the teaching of probability to demonstrate how the truth table of elementary mathematical logic can be used to teach the calculations of conditional probabilities. Students are typically introduced to the topic of conditional probabilities--especially the ones that involve Bayes' rule--with…
Descriptors: Teaching Methods, Probability, Bayesian Statistics, Mathematical Logic
CadwalladerOlsker, Todd D. – Mathematics Teacher, 2011
Bayes's theorem is notorious for being a difficult topic to learn and to teach. Problems involving Bayes's theorem (either implicitly or explicitly) generally involve calculations based on two or more given probabilities and their complements. Further, a correct solution depends on students' ability to interpret the problem correctly. Most people…
Descriptors: Critical Thinking, Probability, Mathematical Logic, Mathematics Skills
Goodman, Noah D.; Tenenbaum, Joshua B.; Feldman, Jacob; Griffiths, Thomas L. – Cognitive Science, 2008
This article proposes a new model of human concept learning that provides a rational analysis of learning feature-based concepts. This model is built upon Bayesian inference for a grammatically structured hypothesis space--a concept language of logical rules. This article compares the model predictions to human generalization judgments in several…
Descriptors: Mathematics Education, Concept Formation, Models, Prediction
Peer reviewedJarrell, Stephen – Mathematics and Computer Education, 1990
Explains a new way of viewing Bayes' formula. Discusses the revision factor and its interpretation. (YP)
Descriptors: Bayesian Statistics, College Mathematics, Computation, Decimal Fractions

Direct link
