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.
Working Group Details
- IEEE Computer Society
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- Sponsor Committee
- C/LT - Learning Technology
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- Working Group
AIS - Adaptive Instructional Systems
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- IEEE Program Manager
- Vanessa Lalitte
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- 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.
Recommended Practices for Evaluation of Adaptive Instructional Systems
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.
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.
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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.
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