Project Details
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.
| Standards Committee | |
| PAR Approval |
2019-03-21
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| PARs |
Working Group Details
| Working Group |
AIS - Adaptive Instructional Systems
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| Standards Committee | |
| Society | |
| IEEE Program Manager | |
| Active Projects |
This standard defines and classifies the components and functionality of adaptive instructional systems (AIS). This standard defines parameters used to describe AIS and establishes requirements and guidance for the use and measurement of these parameters.
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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.
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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
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