Publication Date
| In 2026 | 0 |
| Since 2025 | 1 |
| Since 2022 (last 5 years) | 1 |
Descriptor
| Automation | 1 |
| Computer Assisted Testing | 1 |
| Efficiency | 1 |
| Misconceptions | 1 |
| Multiple Choice Tests | 1 |
| Natural Language Processing | 1 |
| Open Source Technology | 1 |
| Test Items | 1 |
| Test Validity | 1 |
Source
| Grantee Submission | 1 |
Author
| Andreea Dutulescu | 1 |
| Danielle S. McNamara | 1 |
| Denis Iorga | 1 |
| Mihai Dascalu | 1 |
| Stefan Ruseti | 1 |
Publication Type
| Reports - Research | 1 |
| Speeches/Meeting Papers | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Andreea Dutulescu; Stefan Ruseti; Denis Iorga; Mihai Dascalu; Danielle S. McNamara – Grantee Submission, 2025
Automated multiple-choice question (MCQ) generation is valuable for scalable assessment and enhanced learning experiences. How-ever, existing MCQ generation methods face challenges in ensuring plausible distractors and maintaining answer consistency. This paper intro-duces a method for MCQ generation that integrates reasoning-based explanations…
Descriptors: Automation, Computer Assisted Testing, Multiple Choice Tests, Natural Language Processing

Peer reviewed
Direct link
