Publication Date
| In 2024 | 0 |
| Since 2023 | 0 |
| Since 2020 (last 5 years) | 0 |
| Since 2015 (last 10 years) | 0 |
| Since 2005 (last 20 years) | 1 |
Descriptor
| Artificial Intelligence | 1 |
| Computer Managed Instruction | 1 |
| Computer Software | 1 |
| Computer System Design | 1 |
| Data | 1 |
| Data Analysis | 1 |
| Educational Experiments | 1 |
| Elementary School Students | 1 |
| Evidence | 1 |
| Federal Aid | 1 |
| Grade 4 | 1 |
| More ▼ | |
Source
| International Working Group… | 1 |
Author
| Cetintas, Suleyman | 1 |
| Hord, Casey | 1 |
| Si, Luo | 1 |
| Xin, Yan Ping | 1 |
Publication Type
| Reports - Research | 1 |
| Speeches/Meeting Papers | 1 |
Education Level
| Elementary Education | 1 |
| Elementary Secondary Education | 1 |
| Grade 4 | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Download full textCetintas, Suleyman; Si, Luo; Xin, Yan Ping; Hord, Casey – International Working Group on Educational Data Mining, 2009
This paper proposes a learning based method that can automatically determine how likely a student is to give a correct answer to a problem in an intelligent tutoring system. Only log files that record students' actions with the system are used to train the model, therefore the modeling process doesn't require expert knowledge for identifying…
Descriptors: Programming, Evidence, Intelligent Tutoring Systems, Regression (Statistics)
