Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 1 |
| Since 2017 (last 10 years) | 1 |
| Since 2007 (last 20 years) | 1 |
Descriptor
| Algorithms | 1 |
| Apprenticeships | 1 |
| Artificial Intelligence | 1 |
| Decision Making | 1 |
| Educational Policy | 1 |
| Electronic Learning | 1 |
| Intelligent Tutoring Systems | 1 |
| Problem Solving | 1 |
| Rewards | 1 |
| Teaching Methods | 1 |
Source
| International Educational… | 1 |
Publication Type
| Reports - Research | 1 |
| Speeches/Meeting Papers | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Md. Mirajul Islam; Xi Yang; John Hostetter; Adittya Soukarjya Saha; Min Chi – International Educational Data Mining Society, 2024
A key challenge in e-learning environments like Intelligent Tutoring Systems (ITSs) is to induce effective pedagogical policies efficiently. While Deep Reinforcement Learning (DRL) often suffers from "sample inefficiency" and "reward function" design difficulty, Apprenticeship Learning (AL) algorithms can overcome them.…
Descriptors: Electronic Learning, Intelligent Tutoring Systems, Teaching Methods, Algorithms

Peer reviewed
