Publication Date
| In 2026 | 0 |
| Since 2025 | 1 |
| Since 2022 (last 5 years) | 3 |
Descriptor
| Artificial Intelligence | 3 |
| Cheating | 3 |
| Keyboarding (Data Entry) | 3 |
| Integrity | 2 |
| Technology Uses in Education | 2 |
| Writing Processes | 2 |
| Adults | 1 |
| Behavior Patterns | 1 |
| Bias | 1 |
| Computer Assisted Testing | 1 |
| Deception | 1 |
| More ▼ | |
Author
| Chen Li | 1 |
| Hedderik van Rijn | 1 |
| Jiangang Hao | 1 |
| Joon Suh Choi | 1 |
| Langdon Holmes | 1 |
| Maarten van der Velde | 1 |
| Malte Krambeer | 1 |
| Mo Zhang | 1 |
| Paul Deane | 1 |
| Scott Crossley | 1 |
| Wesley Morris | 1 |
| More ▼ | |
Publication Type
| Reports - Research | 3 |
| Speeches/Meeting Papers | 2 |
| Journal Articles | 1 |
Education Level
| Secondary Education | 1 |
Audience
Location
| Netherlands | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Scott Crossley; Yu Tian; Joon Suh Choi; Langdon Holmes; Wesley Morris – International Educational Data Mining Society, 2024
This study examines the potential to use keystroke logs to examine differences between authentic writing and transcribed essay writing. Transcribed writing produced within writing platforms where copy and paste functions are disabled indicates that students are likely copying texts from the internet or from generative artificial intelligence (AI)…
Descriptors: Plagiarism, Writing (Composition), Essays, Artificial Intelligence
Maarten van der Velde; Malte Krambeer; Hedderik van Rijn – International Educational Data Mining Society, 2025
Ensuring the integrity of results in online learning and assessment tools is a challenge, due to the lack of direct supervision increasing the risk of fraud. We propose and evaluate a machine learning-based method for detecting anomalous behaviour in an online retrieval practice task, using an XGBoost classifier trained on keystroke dynamics and…
Descriptors: Artificial Intelligence, Technology Uses in Education, Student Behavior, Information Retrieval
Yang 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

Peer reviewed
Direct link
