IEEE P1589/D1, May 2017
IEEE Draft Standard for an Augmented Reality Learning Experience Model
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- Language: English
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About This Item
IEEE P1589/D1, May 2017 is an early draft technical document for an augmented reality learning experience model in computing and processing. It outlines a framework that can help describe how AR-based learning interactions are structured, represented, and evaluated. For teams working with immersive educational software, the draft may support more consistent design and comparison of learning experiences while keeping the technical focus aligned with the standard’s intended scope.
Overview of IEEE P1589/D1, May 2017
IEEE P1589/D1, May 2017 focuses on an augmented reality learning experience model, placing it within the broader field of computing and processing. As a draft standard, it is best understood as a technical reference for organizing the elements of AR-supported learning rather than a finished implementation guide. It may be useful for defining common terminology, experience components, and structural expectations so that different systems can be discussed and developed with greater consistency.
Typical use cases
This standard may be relevant to developers and researchers building augmented reality training tools, interactive educational applications, or learning platforms that combine digital overlays with real-world activity. It can also support curriculum designers, simulation teams, and product groups that need a shared model for describing learner interaction, content delivery, and experience structure. In practice, IEEE P1589/D1, May 2017 is most useful where AR learning workflows need to be documented or compared across software and hardware environments.
Why it matters
Technical standards like IEEE P1589/D1, May 2017 matter because they can reduce ambiguity in how augmented reality learning experiences are specified and assessed. A clear model helps with design control, testing, and procurement by giving stakeholders a common reference for expected behavior and feature scope. For organizations developing educational AR systems, this can improve consistency, support better integration decisions, and lower the risk of mismatched assumptions during implementation and review.
- Draft model for AR learning experiences
- Computing and processing context
- Useful for design and evaluation alignment
- Relevant to educational AR software
- Supports shared technical terminology
- Publication Date: 2017
- Standard Status: Inactive
- Publisher: IEEE
- Subject: Computing and Processing
- Official IEEE: Doi link
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