Publication Date
In 2025 | 1 |
Since 2024 | 3 |
Since 2021 (last 5 years) | 3 |
Since 2016 (last 10 years) | 3 |
Since 2006 (last 20 years) | 3 |
Descriptor
Automation | 4 |
Test Items | 4 |
Artificial Intelligence | 2 |
Test Construction | 2 |
Test Format | 2 |
Algebra | 1 |
Architecture | 1 |
Computer Assisted Testing | 1 |
Computer Science | 1 |
Computer Software | 1 |
Constructed Response | 1 |
More ▼ |
Author
Ade Romadhony | 1 |
Adiwijaya Adiwijaya | 1 |
Bennett, Randy Elliot | 1 |
Bin Tan | 1 |
Dongkwang Shin | 1 |
Elisabetta Mazzullo | 1 |
Jang Ho Lee | 1 |
Mark J. Gierl | 1 |
Martinez, Michael E. | 1 |
Nour Armoush | 1 |
Okan Bulut | 1 |
More ▼ |
Publication Type
Information Analyses | 4 |
Journal Articles | 4 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Bin Tan; Nour Armoush; Elisabetta Mazzullo; Okan Bulut; Mark J. Gierl – International Journal of Assessment Tools in Education, 2025
This study reviews existing research on the use of large language models (LLMs) for automatic item generation (AIG). We performed a comprehensive literature search across seven research databases, selected studies based on predefined criteria, and summarized 60 relevant studies that employed LLMs in the AIG process. We identified the most commonly…
Descriptors: Artificial Intelligence, Test Items, Automation, Test Format
Said Al Faraby; Adiwijaya Adiwijaya; Ade Romadhony – International Journal of Artificial Intelligence in Education, 2024
Questioning plays a vital role in education, directing knowledge construction and assessing students' understanding. However, creating high-level questions requires significant creativity and effort. Automatic question generation is expected to facilitate the generation of not only fluent and relevant but also educationally valuable questions.…
Descriptors: Test Items, Automation, Computer Software, Input Output Analysis
Dongkwang Shin; Jang Ho Lee – ELT Journal, 2024
Although automated item generation has gained a considerable amount of attention in a variety of fields, it is still a relatively new technology in ELT contexts. Therefore, the present article aims to provide an accessible introduction to this powerful resource for language teachers based on a review of the available research. Particularly, it…
Descriptors: Language Tests, Artificial Intelligence, Test Items, Automation

Martinez, Michael E.; Bennett, Randy Elliot – Applied Measurement in Education, 1992
New developments in the use of automatically scorable constructed response item types for large-scale assessment are reviewed for five domains: (1) mathematical reasoning; (2) algebra problem solving; (3) computer science; (4) architecture; and (5) natural language. Ways in which these technologies are likely to shape testing are considered. (SLD)
Descriptors: Algebra, Architecture, Automation, Computer Science