Publication Date
In 2025 | 0 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 2 |
Since 2016 (last 10 years) | 2 |
Since 2006 (last 20 years) | 2 |
Descriptor
Algorithms | 3 |
Automation | 3 |
Information Technology | 3 |
Accuracy | 1 |
Artificial Intelligence | 1 |
Computer Software | 1 |
Data Analysis | 1 |
Database Design | 1 |
Essays | 1 |
Human Body | 1 |
Identification | 1 |
More ▼ |
Author
Butz, C. J. | 1 |
Daniel J. Carragher | 1 |
Daniel Sturman | 1 |
David W. Brown | 1 |
Dean Jensen | 1 |
Peter J. B. Hancock | 1 |
Wong, S. K. M. | 1 |
Xiang, Y. | 1 |
Publication Type
Journal Articles | 2 |
Reports - Research | 2 |
Reports - Descriptive | 1 |
Speeches/Meeting Papers | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Daniel J. Carragher; Daniel Sturman; Peter J. B. Hancock – Cognitive Research: Principles and Implications, 2024
The human face is commonly used for identity verification. While this task was once exclusively performed by humans, technological advancements have seen automated facial recognition systems (AFRS) integrated into many identification scenarios. Although many state-of-the-art AFRS are exceptionally accurate, they often require human oversight or…
Descriptors: Automation, Human Body, Man Machine Systems, Accuracy
David W. Brown; Dean Jensen – International Society for Technology, Education, and Science, 2023
The growth of Artificial Intelligence (AI) chatbots has created a great deal of discussion in the education community. While many have gravitated towards the ability of these bots to make learning more interactive, others have grave concerns that student created essays, long used as a means of assessing the subject comprehension of students, may…
Descriptors: Artificial Intelligence, Natural Language Processing, Computer Software, Writing (Composition)

Wong, S. K. M.; Butz, C. J.; Xiang, Y. – Journal of the American Society for Information Science, 1998
Describes a bottom-up procedure for discovering multivalued dependencies in observed data without knowing a priori the relationships among the attributes. The proposed algorithm is an application of technique designed for learning conditional independencies in probabilistic reasoning; a prototype system for automated database schema design has…
Descriptors: Algorithms, Automation, Data Analysis, Database Design