PD ISO/IEC TS 20748-3:2020: Elevate Your Learning Analytics with Seamless Data Interoperability

In the rapidly evolving world of information technology, particularly in the realms of learning, education, and training, the need for effective data interoperability has never been more critical. Introducing the PD ISO/IEC TS 20748-3:2020, a comprehensive standard that provides essential guidelines for achieving seamless interoperability in learning analytics.

Overview of the Standard

The PD ISO/IEC TS 20748-3:2020 is a pivotal document that addresses the complexities of data interoperability within the context of learning analytics. Released on April 14, 2020, this standard is designed to facilitate the integration and exchange of data across diverse educational and training platforms, ensuring that learning analytics can be effectively utilized to enhance educational outcomes.

Key Features

• Standard Number: PD ISO/IEC TS 20748-3:2020
• Pages: 50
• ISBN: 978 0 539 13530 5
• Status: Standard

Why Choose PD ISO/IEC TS 20748-3:2020?

As educational institutions and training organizations increasingly rely on digital platforms, the ability to seamlessly integrate and analyze data from various sources becomes paramount. The PD ISO/IEC TS 20748-3:2020 standard offers a robust framework that ensures data from different systems can be harmonized, enabling educators and trainers to gain deeper insights into learning processes and outcomes.

Benefits of Implementing the Standard

By adopting the guidelines set forth in this standard, organizations can expect to achieve:

• Enhanced Data Integration: Facilitate the smooth exchange of data between disparate systems, allowing for a more comprehensive analysis of learning activities.
• Improved Decision-Making: Leverage integrated data to make informed decisions that can enhance the learning experience and improve educational outcomes.
• Increased Efficiency: Streamline processes by reducing the time and effort required to manage and analyze data from multiple sources.
• Future-Proofing: Stay ahead of technological advancements by adopting a standard that is designed to accommodate future developments in learning analytics.

Who Can Benefit from This Standard?

The PD ISO/IEC TS 20748-3:2020 is an invaluable resource for a wide range of stakeholders in the education and training sectors, including:

• Educational Institutions: Schools, colleges, and universities looking to enhance their data-driven decision-making capabilities.
• Training Organizations: Companies and organizations that provide professional development and training services.
• EdTech Developers: Developers and providers of educational technology solutions seeking to ensure their products are compatible with industry standards.
• Policy Makers: Government and regulatory bodies involved in setting educational standards and policies.

Comprehensive Coverage

Spanning 50 pages, the PD ISO/IEC TS 20748-3:2020 offers a detailed exploration of the principles and practices necessary for achieving data interoperability in learning analytics. It provides clear guidelines and best practices that can be readily implemented to ensure that data from various sources can be effectively integrated and analyzed.

Conclusion

In an era where data is a critical asset, the PD ISO/IEC TS 20748-3:2020 standard is an essential tool for any organization involved in learning, education, and training. By providing a clear framework for data interoperability, this standard empowers organizations to harness the full potential of learning analytics, driving improvements in educational outcomes and operational efficiency.

Embrace the future of learning analytics with the PD ISO/IEC TS 20748-3:2020 and ensure your organization is equipped to meet the challenges and opportunities of the digital age.

PD ISO/IEC TS 20748-3:2020

This standard PD ISO/IEC TS 20748-3:2020 Information technology for learning, education and training. Learning analytics interoperability is classified in these ICS categories:

• 03.100.30 Management of human resources
• 03.180 Education
• 35.240.90 IT applications in education

This document specifies guidelines for mapping between different learning analytics data representations. Using xAPI and IMS Caliper as reference specifications, this document introduces data API regarding learning analytics as well as guidelines to use the APIs, which can be generalized to other contexts. Both syntactic and semantic mappings are in scope.