Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 0 |
| Since 2007 (last 20 years) | 2 |
Descriptor
| Computer Uses in Education | 2 |
| Educational Technology | 2 |
| Homework | 2 |
| Models | 2 |
| Probability | 2 |
| Assignments | 1 |
| College Science | 1 |
| Computer Software | 1 |
| Correlation | 1 |
| Earth Science | 1 |
| Equations (Mathematics) | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 2 |
| Reports - Research | 2 |
| Tests/Questionnaires | 1 |
Education Level
| Grade 6 | 1 |
| Grade 7 | 1 |
| Grade 8 | 1 |
| High Schools | 1 |
| Higher Education | 1 |
| Middle Schools | 1 |
Audience
| Teachers | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Baker, Ryan S. J. D.; Goldstein, Adam B.; Heffernan, Neil T. – International Journal of Artificial Intelligence in Education, 2011
Intelligent tutors have become increasingly accurate at detecting whether a student knows a skill, or knowledge component (KC), at a given time. However, current student models do not tell us exactly at which point a KC is learned. In this paper, we present a machine-learned model that assesses the probability that a student learned a KC at a…
Descriptors: Intelligent Tutoring Systems, Mastery Learning, Probability, Knowledge Level
Mays, David C. – Journal of Geoscience Education, 2010
This article describes a one-week introduction to stochastic groundwater modeling, intended for the end of a first course on groundwater hydrology, or the beginning of a second course on stochastic hydrogeology or groundwater modeling. The motivation for this work is to strengthen groundwater education, which has been identified among the factors…
Descriptors: Natural Resources, Water, Probability, College Science

Peer reviewed
Direct link
