Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 1 |
| Since 2007 (last 20 years) | 3 |
Descriptor
| Markov Processes | 3 |
| Models | 3 |
| Problem Solving | 3 |
| Monte Carlo Methods | 2 |
| Addition | 1 |
| Artificial Intelligence | 1 |
| Automation | 1 |
| Bayesian Statistics | 1 |
| Computer System Design | 1 |
| Cooperation | 1 |
| Cues | 1 |
| More ▼ | |
Author
| Barnes, Tiffany | 1 |
| Croy, Marvin | 1 |
| Gin, Brian | 1 |
| Levy, Roy | 1 |
| Rabe-Hesketh, Sophia | 1 |
| Sim, Nicholas | 1 |
| Skrondal, Anders | 1 |
| Stamper, John | 1 |
Publication Type
| Reports - Descriptive | 3 |
| Journal Articles | 1 |
Education Level
| Elementary Education | 1 |
| Elementary Secondary Education | 1 |
| Grade 6 | 1 |
| Grade 7 | 1 |
| Grade 8 | 1 |
| Intermediate Grades | 1 |
| Junior High Schools | 1 |
| Middle Schools | 1 |
| Secondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Gin, Brian; Sim, Nicholas; Skrondal, Anders; Rabe-Hesketh, Sophia – Grantee Submission, 2020
We propose a dyadic Item Response Theory (dIRT) model for measuring interactions of pairs of individuals when the responses to items represent the actions (or behaviors, perceptions, etc.) of each individual (actor) made within the context of a dyad formed with another individual (partner). Examples of its use include the assessment of…
Descriptors: Item Response Theory, Generalization, Item Analysis, Problem Solving
Levy, Roy – National Center for Research on Evaluation, Standards, and Student Testing (CRESST), 2014
Digital games offer an appealing environment for assessing student proficiencies, including skills and misconceptions in a diagnostic setting. This paper proposes a dynamic Bayesian network modeling approach for observations of student performance from an educational video game. A Bayesian approach to model construction, calibration, and use in…
Descriptors: Video Games, Educational Games, Bayesian Statistics, Observation
Stamper, John; Barnes, Tiffany; Croy, Marvin – International Journal of Artificial Intelligence in Education, 2011
The Hint Factory is an implementation of our novel method to automatically generate hints using past student data for a logic tutor. One disadvantage of the Hint Factory is the time needed to gather enough data on new problems in order to provide hints. In this paper we describe the use of expert sample solutions to "seed" the hint generation…
Descriptors: Cues, Prompting, Learning Strategies, Teaching Methods

Peer reviewed
Direct link
