Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 1 |
| Since 2016 (last 10 years) | 1 |
| Since 2006 (last 20 years) | 1 |
Descriptor
| Artificial Intelligence | 1 |
| Classification | 1 |
| Computer Software | 1 |
| Form Classes (Languages) | 1 |
| Generalization | 1 |
| Grading | 1 |
| Mathematics Instruction | 1 |
| Models | 1 |
| Prediction | 1 |
| Scoring | 1 |
| Teaching Methods | 1 |
| More ▼ | |
Source
| International Educational… | 1 |
Author
| Baral, Sami | 1 |
| Heffernan, Neil | 1 |
| Lan, Andrew | 1 |
| Zhang, Mengxue | 1 |
Publication Type
| Reports - Research | 1 |
| Speeches/Meeting Papers | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Download full textZhang, Mengxue; Baral, Sami; Heffernan, Neil; Lan, Andrew – International Educational Data Mining Society, 2022
Automatic short answer grading is an important research direction in the exploration of how to use artificial intelligence (AI)-based tools to improve education. Current state-of-the-art approaches use neural language models to create vectorized representations of students responses, followed by classifiers to predict the score. However, these…
Descriptors: Grading, Mathematics Instruction, Artificial Intelligence, Form Classes (Languages)
