Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 2 |
| Since 2017 (last 10 years) | 2 |
| Since 2007 (last 20 years) | 2 |
Descriptor
| Behavior Patterns | 2 |
| Cheating | 2 |
| Models | 2 |
| Artificial Intelligence | 1 |
| Bayesian Statistics | 1 |
| Bias | 1 |
| Computer Assisted Testing | 1 |
| Decision Making | 1 |
| Elementary School Students | 1 |
| Ethics | 1 |
| Gender Differences | 1 |
| More ▼ | |
Publication Type
| Reports - Research | 2 |
| Journal Articles | 1 |
Education Level
| Elementary Education | 1 |
| Grade 4 | 1 |
| Intermediate Grades | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
| National Assessment of… | 1 |
What Works Clearinghouse Rating
Peer reviewed
Direct linkYang Jiang; Mo Zhang; Jiangang Hao; Paul Deane; Chen Li – Journal of Educational Measurement, 2024
The emergence of sophisticated AI tools such as ChatGPT, coupled with the transition to remote delivery of educational assessments in the COVID-19 era, has led to increasing concerns about academic integrity and test security. Using AI tools, test takers can produce high-quality texts effortlessly and use them to game assessments. It is thus…
Descriptors: Integrity, Artificial Intelligence, Technology Uses in Education, Ethics
Download full textJing Lu; Chun Wang; Ningzhong Shi – Grantee Submission, 2023
In high-stakes, large-scale, standardized tests with certain time limits, examinees are likely to engage in either one of the three types of behavior (e.g., van der Linden & Guo, 2008; Wang & Xu, 2015): solution behavior, rapid guessing behavior, and cheating behavior. Oftentimes examinees do not always solve all items due to various…
Descriptors: High Stakes Tests, Standardized Tests, Guessing (Tests), Cheating
