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Unlocking the Future of Credential Transparency: Blog Series

At Credential Engine, we're committed to making the credential and skill landscape clearer, more connected, and more useful for everyone, from learners and workers to educators and employers. In this three-part blog series dives into how we're doing just that.

These blogs illustrate the importance of creating a transparent, data-rich credential ecosystem that empowers decision-making and drives equity in education and employment.

  1. The Power of a Common Language
    Learn how establishing a shared language for credentials and skills lays the foundation for clarity and consistency in an otherwise complex landscape.

  2. Building Solutions for Better Learning and Career Opportunities
    Explore the innovative tools and strategies we’re enabling to help individuals navigate learning pathways and unlock new career options.

  3. Create Lasting Change with Scalable Credential Transparency
    Discover how we’re working to ensure that credential and skill transparency is not just impactful, but sustainable and scalable for the long term.

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SOLID Data: What it Means

For the U.S. to meet the growing demand for skills and credential data, it is essential that this information be structured, open, linked, interoperable, and durable (SOLID). Credential Engine ensures this by advancing CTDL, the only comprehensive open standard for describing and linking credentials, learning, and work ecosystems, as the foundation for this work.

Fact Sheets

Recognition of Prior Learning: Helping People Move Forward

Recognition of prior learning (RPL) is the process of providing formal acknowledgment and credit for knowledge, skills, and abilities people have gained through work experience, military service, self-study, volunteering, and/or previous education. This includes credit for prior learning (CPL), transfer credit between institutions, and validation of non-traditional learning experiences. RPL empowers people to move forward and build on what they already know rather than starting over, accelerating pathways to credentials and careers.

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Other Resources

SOLID Data: What it Means

For the U.S. to meet the growing demand for skills and credential data, it is essential that this information be structured, open, linked, interoperable, and durable (SOLID). Credential Engine ensures this by advancing CTDL, the only comprehensive open standard for describing and linking credentials, learning, and work ecosystems, as the foundation for this work.

Fact Sheets

Recognition of Prior Learning: Helping People Move Forward

Recognition of prior learning (RPL) is the process of providing formal acknowledgment and credit for knowledge, skills, and abilities people have gained through work experience, military service, self-study, volunteering, and/or previous education. This includes credit for prior learning (CPL), transfer credit between institutions, and validation of non-traditional learning experiences. RPL empowers people to move forward and build on what they already know rather than starting over, accelerating pathways to credentials and careers.

Get in Touch

Our team of experts is ready to help you embark your credential transparency journey. Whether you have questions about our technologies, services, or don’t know how to get started, we’re here to assist.

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