IEEE P9274.1.1/D3.0, Dec 2022 PDF | Request Standard
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IEEE P9274.1.1/D3.0, Dec 2022

JavaScript Object Notation (JSON) Data Model Format and Representational State Transfer (RESTful) Web Service for Learner Experience Data Tracking and Access

Standard by IEEE, 2023

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Language: English

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IEEE P9274.1.1/D3.0, Dec 2022

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P9274.1.1/D3.0, Dec 2022 is a computing and processing standard that addresses a JavaScript Object Notation (JSON) data model format and a Representational State Transfer (RESTful) web service for learner experience data tracking and access. It is relevant where systems need a structured way to exchange learning activity data across applications and platforms. By defining a common technical approach, P9274.1.1/D3.0, Dec 2022 can help support more consistent data handling, integration, and retrieval in learner-focused digital environments.

Overview of P9274.1.1/D3.0, Dec 2022

This technical document focuses on how learner experience data may be represented in JSON and made available through a RESTful web service. In practical terms, it supports a common data model and access method for software that records, queries, or transfers learning-related information. For computing systems, this kind of standard can help reduce ambiguity between implementations and improve interoperability. P9274.1.1/D3.0, Dec 2022 is therefore useful when consistency in data structure and service behavior is important.

Typical use cases

P9274.1.1/D3.0, Dec 2022 may be used in education platforms, training systems, and other learner analytics environments where experience data needs to be stored or exchanged in a predictable format. It is especially relevant for applications that expose data through web services, such as learning record systems, dashboards, reporting tools, and integration layers between platforms. The standard can also support teams building or testing software that must track learner events and access those records through RESTful interfaces.

Why it matters

Standards like P9274.1.1/D3.0, Dec 2022 matter because they can improve consistency in how learner experience data is modeled, transmitted, and accessed. That consistency helps reduce integration errors, simplifies implementation choices, and supports more reliable testing and validation across systems. For organizations purchasing or developing related software, a defined JSON and RESTful approach can also make procurement and design requirements clearer. In data-sensitive environments, predictable structure and access behavior can lower operational risk.

  • JSON-based learner data modeling
  • RESTful service access patterns
  • Tracking and retrieval of experience records
  • Interoperability across learning systems
  • Implementation and testing reference points
SKU: b8acd33369c0

  • Publication Date: 2023
  • Standard Status: Inactive
  • Publisher: IEEE
  • Subject: Computing and Processing
  • Official IEEE: Doi link

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