Publication Date
In 2025 | 0 |
Since 2024 | 2 |
Descriptor
Adaptive Testing | 2 |
Computer Assisted Testing | 2 |
Natural Language Processing | 2 |
Test Items | 2 |
Artificial Intelligence | 1 |
Automation | 1 |
Cheating | 1 |
Difficulty Level | 1 |
Educational Technology | 1 |
Essays | 1 |
Feedback (Response) | 1 |
More ▼ |
Author
Hong Jiao, Editor | 1 |
Lae Lae Shwe | 1 |
Robert W. Lissitz, Editor | 1 |
Suntorn Witosurapot | 1 |
Sureena Matayong | 1 |
Publication Type
Books | 1 |
Collected Works - General | 1 |
Journal Articles | 1 |
Reports - Research | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Lae Lae Shwe; Sureena Matayong; Suntorn Witosurapot – Education and Information Technologies, 2024
Multiple Choice Questions (MCQs) are an important evaluation technique for both examinations and learning activities. However, the manual creation of questions is time-consuming and challenging for teachers. Hence, there is a notable demand for an Automatic Question Generation (AQG) system. Several systems have been created for this aim, but the…
Descriptors: Difficulty Level, Computer Assisted Testing, Adaptive Testing, Multiple Choice Tests
Hong Jiao, Editor; Robert W. Lissitz, Editor – IAP - Information Age Publishing, Inc., 2024
With the exponential increase of digital assessment, different types of data in addition to item responses become available in the measurement process. One of the salient features in digital assessment is that process data can be easily collected. This non-conventional structured or unstructured data source may bring new perspectives to better…
Descriptors: Artificial Intelligence, Natural Language Processing, Psychometrics, Computer Assisted Testing