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 |
Preadolescents | 3 |
Adolescents | 2 |
African Americans | 1 |
Artificial Intelligence | 1 |
Bias | 1 |
Case Studies | 1 |
Children | 1 |
Childrens Attitudes | 1 |
Decision Making | 1 |
Digital Literacy | 1 |
More ▼ |
Author
Ali Darejeh | 1 |
Coenraad, Merijke | 1 |
Hepler, Nancy | 1 |
Kim, Sehwan | 1 |
Mansoureh Delaramifar | 1 |
Sara Mashayekh | 1 |
Tayebeh Sargazi Moghadam | 1 |
Williams, Charles | 1 |
Wurster, Leslie | 1 |
Publication Type
Journal Articles | 3 |
Reports - Research | 3 |
Education Level
Secondary Education | 1 |
Audience
Location
Florida | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Coenraad, Merijke – Information and Learning Sciences, 2022
Purpose: Computing technology is becoming ubiquitous within modern society and youth use technology regularly for school, entertainment and socializing. Yet, despite societal belief that computing technology is neutral, the technologies of today's society are rife with biases that harm and oppress populations that experience marginalization. While…
Descriptors: Preadolescents, Childrens Attitudes, Bias, Algorithms
Tayebeh Sargazi Moghadam; Ali Darejeh; Mansoureh Delaramifar; Sara Mashayekh – Interactive Learning Environments, 2024
Learners' emotional states might change during the learning process, and unpredictable variations of a person's emotions raise the demand for regular assessment of feelings during learning. In this paper, an AI-based decision framework is proposed and implemented for e-learning systems that identify suitable micro-brake activities based on the…
Descriptors: Artificial Intelligence, Decision Making, Electronic Learning, Psychological Patterns

Kim, Sehwan; Wurster, Leslie; Williams, Charles; Hepler, Nancy – Journal of Drug Education, 1998
The first of three articles that develop a framework for county-based prevention-resource-allocation algorithms based on the aggravated need for substance-abuse-prevention services estimated at the county level. Algorithm development is based on (1) statewide student drug survey, and (2) a set of social indicators routinely published by agencies…
Descriptors: Adolescents, Algorithms, Case Studies, Children