Publication Date
| In 2025 | 0 |
| Since 2024 | 1 |
| Since 2021 (last 5 years) | 2 |
| Since 2016 (last 10 years) | 2 |
| Since 2006 (last 20 years) | 3 |
Descriptor
| Artificial Intelligence | 3 |
| Prediction | 3 |
| Accuracy | 2 |
| Grade 6 | 2 |
| Grade 7 | 2 |
| Grade 8 | 2 |
| Intelligent Tutoring Systems | 2 |
| Models | 2 |
| Regression (Statistics) | 2 |
| Algorithms | 1 |
| Assignments | 1 |
| More ▼ | |
Author
| A. Brooks Bowden | 1 |
| Anika Alam | 1 |
| Barnes, Tiffany, Ed. | 1 |
| Desmarais, Michel, Ed. | 1 |
| Fancsali, Stephen E. | 1 |
| Li, Hao | 1 |
| Ritter, Steven | 1 |
| Romero, Cristobal, Ed. | 1 |
| Sandbothe, Michael | 1 |
| Ventura, Sebastian, Ed. | 1 |
Publication Type
| Reports - Research | 2 |
| Collected Works - Proceedings | 1 |
| Speeches/Meeting Papers | 1 |
Education Level
| Elementary Education | 3 |
| Grade 7 | 3 |
| Grade 8 | 3 |
| Junior High Schools | 3 |
| Middle Schools | 3 |
| Secondary Education | 3 |
| Grade 10 | 2 |
| Grade 6 | 2 |
| Grade 9 | 2 |
| High Schools | 2 |
| Intermediate Grades | 2 |
| More ▼ | |
Audience
Location
| Australia | 1 |
| Czech Republic | 1 |
| Israel | 1 |
| Massachusetts | 1 |
| Netherlands | 1 |
| North Carolina | 1 |
| Pennsylvania | 1 |
| Slovakia | 1 |
| Spain | 1 |
| Utah | 1 |
| Washington | 1 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
| Massachusetts Comprehensive… | 1 |
What Works Clearinghouse Rating
Peer reviewed
Download full textFancsali, Stephen E.; Li, Hao; Sandbothe, Michael; Ritter, Steven – International Educational Data Mining Society, 2021
Recent work describes methods for systematic, data-driven improvement to instructional content and calls for diverse teams of learning engineers to implement and evaluate such improvements. Focusing on an approach called "design-loop adaptivity," we consider the problem of how developers might use data to target or prioritize particular…
Descriptors: Instructional Development, Instructional Improvement, Data Use, Educational Technology
Direct linkAnika Alam; A. Brooks Bowden – Society for Research on Educational Effectiveness, 2024
Background: The importance of high school completion for jobs and postsecondary opportunities is well- documented. Combined with federal laws where high school graduation rate is a core performance indicator, school systems and states face pressure to actively monitor and assess high school completion. This proposal employs machine learning…
Descriptors: Dropout Characteristics, Prediction, Artificial Intelligence, At Risk Students
Barnes, Tiffany, Ed.; Desmarais, Michel, Ed.; Romero, Cristobal, Ed.; Ventura, Sebastian, Ed. – International Working Group on Educational Data Mining, 2009
The Second International Conference on Educational Data Mining (EDM2009) was held at the University of Cordoba, Spain, on July 1-3, 2009. EDM brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large data sets to answer educational research questions. The increase in instrumented…
Descriptors: Data Analysis, Educational Research, Conferences (Gatherings), Foreign Countries
