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) | 1 |
Descriptor
| Accuracy | 1 |
| Game Based Learning | 1 |
| Microbiology | 1 |
| Middle School Students | 1 |
| Models | 1 |
| Natural Language Processing | 1 |
| Prediction | 1 |
| Reflection | 1 |
| Responses | 1 |
| Science Instruction | 1 |
| Secondary School Science | 1 |
| More ▼ | |
Source
| International Journal of… | 1 |
Author
| Azevedo, Roger | 1 |
| Carpenter, Dan | 1 |
| Emerson, Andrew | 1 |
| Geden, Michael | 1 |
| Lester, James | 1 |
| Rowe, Jonathan | 1 |
Publication Type
| Journal Articles | 1 |
| Reports - Descriptive | 1 |
Education Level
| Junior High Schools | 1 |
| Middle Schools | 1 |
| Secondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Geden, Michael; Emerson, Andrew; Carpenter, Dan; Rowe, Jonathan; Azevedo, Roger; Lester, James – International Journal of Artificial Intelligence in Education, 2021
Game-based learning environments are designed to provide effective and engaging learning experiences for students. Predictive student models use trace data extracted from students' in-game learning behaviors to unobtrusively generate early assessments of student knowledge and skills, equipping game-based learning environments with the capacity to…
Descriptors: Game Based Learning, Middle School Students, Microbiology, Secondary School Science

Peer reviewed
Direct link
