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) | 1 |
Descriptor
| Associative Learning | 1 |
| Attribution Theory | 1 |
| Computation | 1 |
| Experience | 1 |
| Foreign Countries | 1 |
| Hypothesis Testing | 1 |
| Learning Theories | 1 |
| Logical Thinking | 1 |
| Prior Learning | 1 |
| Probability | 1 |
| Problem Solving | 1 |
| More ▼ | |
Source
| Journal of Problem Solving | 1 |
Author
| Buehner, Marc J. | 1 |
| May, Jon | 1 |
Publication Type
| Journal Articles | 1 |
| Reports - Research | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Buehner, Marc J.; May, Jon – Journal of Problem Solving, 2009
Contemporary theories of Human Causal Induction assume that causal knowledge is inferred from observable contingencies. While this assumption is well supported by empirical results, it fails to consider an important problem-solving aspect of causal induction in real time: In the absence of well structured learning trials, it is not clear whether…
Descriptors: Attribution Theory, Problem Solving, Logical Thinking, Time

Peer reviewed
Direct link
