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) | 1 |
Descriptor
| Computation | 1 |
| Decision Making | 1 |
| Individual Differences | 1 |
| Individualized Instruction | 1 |
| Intelligent Tutoring Systems | 1 |
| Learning Processes | 1 |
| Markov Processes | 1 |
| Models | 1 |
| Problem Solving | 1 |
| Teaching Methods | 1 |
Source
| International Educational… | 1 |
Author
| Clement, Benjamin | 1 |
| Lopes, Manuel | 1 |
| Oudeyer, Pierre-Yves | 1 |
Publication Type
| Reports - Research | 1 |
| Speeches/Meeting Papers | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Download full textClement, Benjamin; Oudeyer, Pierre-Yves; Lopes, Manuel – International Educational Data Mining Society, 2016
Online planning of good teaching sequences has the potential to provide a truly personalized teaching experience with a huge impact on the motivation and learning of students. In this work we compare two main approaches to achieve such a goal, POMDPs that can find an optimal long-term path, and Multi-armed bandits that optimize policies locally…
Descriptors: Intelligent Tutoring Systems, Markov Processes, Models, Teaching Methods
