Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 0 |
| Since 2016 (last 10 years) | 0 |
| Since 2006 (last 20 years) | 2 |
Descriptor
| Academic Achievement | 2 |
| Error Patterns | 2 |
| Models | 2 |
| Prediction | 2 |
| Simulation | 2 |
| Standardized Tests | 2 |
| Academic Persistence | 1 |
| Affective Behavior | 1 |
| Algebra | 1 |
| Asynchronous Communication | 1 |
| Behavior | 1 |
| More ▼ | |
Author
| Chaplin, Duncan Dunbar | 1 |
| Goldhaber, Dan | 1 |
| Mavrikis, Manolis, Ed. | 1 |
| McLaren, Bruce M., Ed. | 1 |
| Pardos, Zachary, Ed. | 1 |
| Stamper, John, Ed. | 1 |
Publication Type
| Collected Works - Proceedings | 1 |
| Journal Articles | 1 |
| Reports - Research | 1 |
Education Level
| Elementary Education | 2 |
| Intermediate Grades | 2 |
| Middle Schools | 2 |
| Grade 5 | 1 |
| Grade 6 | 1 |
| Higher Education | 1 |
| Junior High Schools | 1 |
| Postsecondary Education | 1 |
| Secondary Education | 1 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
| Program for International… | 1 |
What Works Clearinghouse Rating
Peer reviewed
Direct linkGoldhaber, Dan; Chaplin, Duncan Dunbar – Journal of Research on Educational Effectiveness, 2015
In an influential paper, Jesse Rothstein (2010) shows that standard value-added models (VAMs) suggest implausible and large future teacher effects on past student achievement. This is the basis of a falsification test that "appears" to indicate bias in typical VAM estimates of teacher contributions to student learning on standardized…
Descriptors: Teacher Evaluation, Teacher Effectiveness, Teacher Influence, Models
Download full textStamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection
