Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 1 |
| Since 2017 (last 10 years) | 2 |
| Since 2007 (last 20 years) | 3 |
Descriptor
| Artificial Intelligence | 3 |
| Bayesian Statistics | 3 |
| Predictor Variables | 3 |
| Computation | 2 |
| Middle School Students | 2 |
| Models | 2 |
| Accuracy | 1 |
| Assignments | 1 |
| Automation | 1 |
| Case Studies | 1 |
| Classification | 1 |
| More ▼ | |
Author
Publication Type
| Journal Articles | 2 |
| Reports - Research | 2 |
| Collected Works - Proceedings | 1 |
Education Level
| Junior High Schools | 3 |
| Middle Schools | 3 |
| Secondary Education | 3 |
| Adult Education | 1 |
| Elementary Education | 1 |
| Elementary Secondary Education | 1 |
| Grade 10 | 1 |
| Grade 12 | 1 |
| Grade 4 | 1 |
| Grade 7 | 1 |
| Grade 8 | 1 |
| 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
Kyosuke Takami; Brendan Flanagan; Yiling Dai; Hiroaki Ogata – International Journal of Distance Education Technologies, 2024
Explainable recommendation, which provides an explanation about why a quiz is recommended, helps to improve transparency, persuasiveness, and trustworthiness. However, little research examined the effectiveness of the explainable recommender, especially on academic performance. To survey its effectiveness, the authors evaluate the math academic…
Descriptors: Bayesian Statistics, Epistemology, Mathematics Achievement, Artificial Intelligence
Min, Wookhee; Frankosky, Megan H.; Mott, Bradford W.; Rowe, Jonathan P.; Smith, Andy; Wiebe, Eric; Boyer, Kristy Elizabeth; Lester, James C. – IEEE Transactions on Learning Technologies, 2020
A distinctive feature of game-based learning environments is their capacity for enabling stealth assessment. Stealth assessment analyzes a stream of fine-grained student interaction data from a game-based learning environment to dynamically draw inferences about students' competencies through evidence-centered design. In evidence-centered design,…
Descriptors: Game Based Learning, Student Evaluation, Artificial Intelligence, Models
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

Peer reviewed
Direct link
