Where is Ethics in the Evolution of AIED’s Future?

[...]strategies and interventions motivated by the learning sciences have overall helped students learn, whether they be human instructors or intelligent adaptive learning environments. (2000) articulated “seven critical issues” that must be scrutinized when evaluating any study on the ethical condu...

Full description

Saved in:
Bibliographic Details
Published in:International journal of artificial intelligence in education 2024-03, Vol.34 (1), p.92-96
Main Authors: Graesser, Arthur C., Hu, Xiangen, Sabatini, John P., Carmon, Colin M.
Format: Article
Language:English
Subjects:
Achievement Gains
Algorithms
Artificial Intelligence
Artificial Intelligence in Education: Coming of Age?
Bias
Business community
Classroom Environment
Commentary
Community Needs
Community Relations
Computer Science
Computers and Education
Data mining
Educational Technology
Ethics
Funding
Grade 8
Guidelines
Human subjects
Informed consent
Intellectual property
Intelligent systems
Learning
Meta Analysis
Motivation Techniques
Regulation
Researchers
Review boards
Sampling
Scientific validity
Social sciences
Stakeholders
Students
Tutoring
User Interfaces and Human Computer Interaction
Validity
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:[...]strategies and interventions motivated by the learning sciences have overall helped students learn, whether they be human instructors or intelligent adaptive learning environments. (2000) articulated “seven critical issues” that must be scrutinized when evaluating any study on the ethical conduct of clinical research: value, scientific validity, fair subject selection, favorable risk-benefit ratio, independent review, informed consent by the participant, and respect for enrolled participants. Researchers in the medical and social sciences in the USA are required to complete training on the ethical treatment of participants every two years and need to have all of their studies approved by a 5-member Institutional Review Board, including two members of the community outside of academia. [...]our community needs to explicitly declare our procedures for minimizing biases.
ISSN:1560-4292
1560-4306
DOI:10.1007/s40593-023-00353-2