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
| Accuracy | 1 |
| Algorithms | 1 |
| Artificial Intelligence | 1 |
| Classification | 1 |
| Decision Making | 1 |
| Intelligent Tutoring Systems | 1 |
| Models | 1 |
| Natural Language Processing | 1 |
| Teaching Methods | 1 |
Source
| Grantee Submission | 1 |
Author
| Amy Johnson | 1 |
| Danielle S. McNamara | 1 |
| Jianmin Dai | 1 |
| Marilena Panaite | 1 |
| Mihai Dascalu | 1 |
| Renu Balyan | 1 |
| Stefan Trausan-Matu | 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 text
Direct linkMarilena Panaite; Mihai Dascalu; Amy Johnson; Renu Balyan; Jianmin Dai; Danielle S. McNamara; Stefan Trausan-Matu – Grantee Submission, 2018
Intelligent Tutoring Systems (ITSs) are aimed at promoting acquisition of knowledge and skills by providing relevant and appropriate feedback during students' practice activities. ITSs for literacy instruction commonly assess typed responses using Natural Language Processing (NLP) algorithms. One step in this direction often requires building a…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Algorithms, Decision Making
