Publication Date
| In 2026 | 0 |
| Since 2025 | 1 |
| Since 2022 (last 5 years) | 1 |
| Since 2017 (last 10 years) | 1 |
| Since 2007 (last 20 years) | 1 |
Descriptor
| Artificial Intelligence | 1 |
| College Freshmen | 1 |
| Computer Mediated… | 1 |
| Engineering Education | 1 |
| Evaluators | 1 |
| Feedback (Response) | 1 |
| Formative Evaluation | 1 |
| Interrater Reliability | 1 |
| Literacy | 1 |
| Man Machine Systems | 1 |
| Natural Language Processing | 1 |
| More ▼ | |
Source
| Journal of Engineering… | 1 |
Publication Type
| Journal Articles | 1 |
| Reports - Research | 1 |
Education Level
| Higher Education | 1 |
| Postsecondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Katherine Drinkwater Gregg; Olivia Ryan; Andrew Katz; Mark Huerta; Susan Sajadi – Journal of Engineering Education, 2025
Background: Courses in engineering often use peer evaluation to monitor teamwork behaviors and team dynamics. The qualitative peer comments written for peer evaluations hold potential as a valuable source of formative feedback for students, yet little is known about their content and quality. Purpose: This study uses a large language model (LLM)…
Descriptors: Artificial Intelligence, Technology Uses in Education, Engineering Education, Student Evaluation

Peer reviewed
Direct link
