Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 1 |
Since 2006 (last 20 years) | 2 |
Descriptor
Accuracy | 2 |
Markov Processes | 2 |
Models | 2 |
Alphabets | 1 |
Beliefs | 1 |
Cognitive Processes | 1 |
Computer Simulation | 1 |
Educational Games | 1 |
English | 1 |
Feedback (Response) | 1 |
Inferences | 1 |
More ▼ |
Source
Cognitive Science | 2 |
Author
Griffiths, Thomas L. | 1 |
LaMar, Michelle M. | 1 |
Rafferty, Anna N. | 1 |
Sperduti, Alessandro | 1 |
Stoianov, Ivilin | 1 |
Testolin, Alberto | 1 |
Zorzi, Marco | 1 |
Publication Type
Journal Articles | 2 |
Reports - Descriptive | 1 |
Reports - Evaluative | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Rafferty, Anna N.; LaMar, Michelle M.; Griffiths, Thomas L. – Cognitive Science, 2015
Watching another person take actions to complete a goal and making inferences about that person's knowledge is a relatively natural task for people. This ability can be especially important in educational settings, where the inferences can be used for assessment, diagnosing misconceptions, and providing informative feedback. In this paper, we…
Descriptors: Inferences, Knowledge Level, Educational Games, Computer Simulation
Testolin, Alberto; Stoianov, Ivilin; Sperduti, Alessandro; Zorzi, Marco – Cognitive Science, 2016
Learning the structure of event sequences is a ubiquitous problem in cognition and particularly in language. One possible solution is to learn a probabilistic generative model of sequences that allows making predictions about upcoming events. Though appealing from a neurobiological standpoint, this approach is typically not pursued in…
Descriptors: Orthographic Symbols, Neurological Organization, Models, Probability