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) | 2 |
Descriptor
| Academic Language | 2 |
| Artificial Intelligence | 2 |
| Classification | 2 |
| Difficulty Level | 2 |
| Foreign Countries | 2 |
| Mathematics Instruction | 2 |
| Models | 2 |
| Problem Solving | 2 |
| Teaching Methods | 2 |
| Academic Achievement | 1 |
| Academic Failure | 1 |
| More ▼ | |
Author
| Bednorz, David | 1 |
| Desmarais, Michel, Ed. | 1 |
| Kleine, Michael | 1 |
| Lynch, Collin F., Ed. | 1 |
| Merceron, Agathe, Ed. | 1 |
| Nkambou, Roger, Ed. | 1 |
Publication Type
| Collected Works - Proceedings | 1 |
| Journal Articles | 1 |
| Reports - Research | 1 |
Education Level
| Secondary Education | 2 |
| Elementary Education | 1 |
| Grade 8 | 1 |
| High Schools | 1 |
| Higher Education | 1 |
| Junior High Schools | 1 |
| Middle Schools | 1 |
| Postsecondary Education | 1 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Bednorz, David; Kleine, Michael – International Electronic Journal of Mathematics Education, 2023
The study examines language dimensions of mathematical word problems and the classification of mathematical word problems according to these dimensions with unsupervised machine learning (ML) techniques. Previous research suggests that the language dimensions are important for mathematical word problems because it has an influence on the…
Descriptors: Word Problems (Mathematics), Classification, Mathematics Instruction, Difficulty Level
Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis

Peer reviewed
