Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 0 |
| Since 2007 (last 20 years) | 1 |
Descriptor
| Classification | 1 |
| Computational Linguistics | 1 |
| Correlation | 1 |
| Difficulty Level | 1 |
| Identification | 1 |
| Intelligent Tutoring Systems | 1 |
| Mathematical Formulas | 1 |
| Mathematics Education | 1 |
| Models | 1 |
| Probability | 1 |
| Sentences | 1 |
| More ▼ | |
Source
| Journal of Educational Data… | 1 |
Publication Type
| Journal Articles | 1 |
| Reports - Research | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Cetintas, Suleyman; Si, Luo; Xin, Yan Ping; Zhang, Dake; Park, Joo Young; Tzur, Ron – Journal of Educational Data Mining, 2010
Estimating the difficulty level of math word problems is an important task for many educational applications. Identification of relevant and irrelevant sentences in math word problems is an important step for calculating the difficulty levels of such problems. This paper addresses a novel application of text categorization to identify two types of…
Descriptors: Probability, Word Problems (Mathematics), Classification, Difficulty Level

Peer reviewed
