This recommended practice defines and classifies methods of evaluating adaptive instructional systems (AIS) and establishes guidance for the use of these methods. This best practice incorporates and promotes the principles of ethically aligned design for the use of artificial intelligence (AI) in AIS.
- Sponsor Committee
- C/LT - Learning Technology
Learn More About C/LT - Learning Technology - Status
- Active PAR
- PAR Approval
- 2019-03-21
Working Group Details
- Society
- IEEE Computer Society
Learn More About IEEE Computer Society - Sponsor Committee
- C/LT - Learning Technology
Learn More About C/LT - Learning Technology - Working Group
-
AIS - Adaptive Instructional Systems
Learn More About AIS - Adaptive Instructional Systems - IEEE Program Manager
- Vanessa Lalitte
Contact Vanessa Lalitte - Working Group Chair
- Andrew Hampton
Other Activities From This Working Group
Current projects that have been authorized by the IEEE SA Standards Board to develop a standard.
P2247.1
IEEE Draft Standard for the Classification of Adaptive Instructional Systems
This goal of this standard is to define and classify the components and functionality of adaptive instructional systems (AISs) as it is applied to individual learners. A conceptual model of AISs for team, collective and collaborative instruction will be the subject of a future standard. This standard also defines parameters used to describe AISs and establishes requirements and guidance for the use and measurement of these parameters. The expected outcome of this standardization project is an AIS conceptual model that describes AIS features, processes, and events for individual learners.
P2247.2
Interoperability Standards for Adaptive Instructional Systems (AISs)
This standard defines interactions and exchanges among the components of adaptive instructional systems (AISs). This standard defines the data and data structures used in these interactions and exchanges and parameters used to describe and measure them and establishes requirements and guidance for the use and measurement of the data, data structures, and parameters.
P2247.4
Recommended Practice for Ethically Aligned Design of Artificial Intelligence (AI) in Adaptive Instructional Systems
This recommended practice describes ethical considerations and recommended best practices in the design of artificial intelligence as used by adaptive instructional systems. The ethical considerations derived from P2247.1, Standard for the Classification of Adaptive Instructional Systems is directly related to: P2247.1 Standard for the Classification of Adaptive Instructional Systems P2247.2 Interoperability Standards for Adaptive Instructional Systems (AISs) P2247.3 Recommended Practices for Evaluation of Adaptive Instructional Systems
Standards approved by the IEEE SA Standards Board that are within the 10-year lifecycle.
No Active Standards
These standards have been replaced with a revised version of the standard, or by a compilation of the original active standard and all its existing amendments, corrigenda, and errata.
No Superseded Standards
These standards have been removed from active status through a ballot where the standard is made inactive as a consensus decision of a balloting group.
No Inactive-Withdrawn Standards
These standards are removed from active status through an administrative process for standards that have not undergone a revision process within 10 years.
No Inactive-Reserved Standards