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
| Classification | 1 |
| Competition | 1 |
| Data Analysis | 1 |
| Efficiency | 1 |
| National Competency Tests | 1 |
| Prediction | 1 |
| Psychometrics | 1 |
| Reaction Time | 1 |
| Response Style (Tests) | 1 |
| Statistical Analysis | 1 |
Source
| International Educational… | 1 |
Author
| Andersen, Nico | 1 |
| Bengs, Daniel | 1 |
| Deribo, Tobias | 1 |
| Eichmann, Beate | 1 |
| Hahnel, Carolin | 1 |
| Harrison, Scott | 1 |
| Zehner, Fabian | 1 |
Publication Type
| Reports - Research | 1 |
| Speeches/Meeting Papers | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
| National Assessment of… | 1 |
What Works Clearinghouse Rating
Peer reviewed
Download full textZehner, Fabian; Harrison, Scott; Eichmann, Beate; Deribo, Tobias; Bengs, Daniel; Andersen, Nico; Hahnel, Carolin – International Educational Data Mining Society, 2020
The "2nd Annual WPI-UMASS-UPENN EDM Data Mining Challenge" required contestants to predict efficient testtaking based on log data. In this paper, we describe our theory-driven and psychometric modeling approach. For feature engineering, we employed the Log-Normal Response Time Model for estimating latent person speed, and the Generalized…
Descriptors: Data Analysis, Competition, Classification, Prediction
