This brief explores how full, open, and transparent access to information about credentials and their value can be a crucial element of how states can work to dismantle systems that have created the inequities we see today.

Even before the COVID-19 pandemic, the United States was amid a major equity crisis. Education has been heralded as the great equalizer with the value of a college degree becoming the clearest path to the American Dream. Yet, for decades there have been barriers that continue to create disproportionate access and wide gaps in educational attainment for Black, Indigenous, and people of color (BIPOC). 

A new Policy Brief stemming from our partnership with eleven other organizations explores how access to better credential information can be a useful tool for equity. States, policymakers, and leaders should actively work to eliminate barriers that hinder the ability for BIPOC to take advantage of their options, and this brief offers various tips and state examples to inform policy and practice.

Many states have set forth their own goals for postsecondary attainment, often focusing on increasing attainment for BIPOC. But those state attainment goals will only become a reality if states have the data needed to explore and fix the policies and practices that have contributed to inequitable outcomes. Credential transparency can help uncover: Who lacks access to opportunity and why? Which populations have and are being underserved by education and training systems? How have state policies served to limit access? Which populations have been tracked into differential credentials and why? How can the credential attainment, employment, and earning prospects be improved for BIPOC?

Credential Transparency and better credential data can help state leaders more efficiently and effectively work toward their educational attainment and workforce goals while also informing how to dismantle systems that have created the inequities we see today. 

We envision credential transparency as a common good, and an important investment to help states meet their equity goals. But using credential transparency to remedy inequities also requires commitment from state leaders and policymakers to unearth and dismantle systems that have created the inequities we see today. Structural racism and systemic inequities cannot be fixed by solely providing individuals better access to information, but it is an effective way of helping to remedy the lack of access to opportunity that afflicts Black, Indigenous, and people of color. Ensuring that everyone has equal access to quality information—while not a panacea for addressing all the structural racism and systemic inequities that afflict Black, Indigenous, and people of color—is a critical first step to addressing inequities. Credential transparency helps state leaders uncover, understand, and work to solve inequities, while also providing individuals with increased agency to find, understand, and compare opportunities to advance along their education and career pathways.

This policy brief also includes examples from four states: Alabama, Kansas, Minnesota, and New Jersey. Their examples demonstrate how policymakers and state leaders use credential transparency to meet larger state goals and advance equity.

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Tags: Credential Ecosystem, Credential Transparency, State Partners & Policymakers
Fact Sheets

Open, Interoperable Data for Actionable Credential Ecosystems

Creating an effective, efficient, and fair marketplace for credentials, qualifications, and skills requires collaboration among various stakeholders, including employers, educational providers, quality assurance organizations, assessment bodies, funders, and guidance platforms.

Fact Sheets

The Value of CTDL for AI

As uses of AI and machine learning are very quickly evolving for applications like skills mapping, learning opportunity recommendations, and career exploration, CTDL provides huge advantages for improved accuracy and relevance in these applications. The CTDL schema and CTDL data in the Credential Registry are highly useful for training and refining AI models because they are structured data that is organized, predefined, and formatted consistently. And the more data that is available in CTDL, the more thoroughly AI tools can analyze patterns in the linked open data and make valuable connections. Credential Engine is working with partners on innovations that combine CTDL as a rich data schema, the huge body of CTDL data that is already in the Credential Registry, and new AI-assisted tools that publish to and consume from the Credential Registry. This resource provides an overview of structured data and the value of CTDL for AI.

Fact Sheets

Open, Interoperable Data for Actionable Credential Ecosystems

Creating an effective, efficient, and fair marketplace for credentials, qualifications, and skills requires collaboration among various stakeholders, including employers, educational providers, quality assurance organizations, assessment bodies, funders, and guidance platforms.

Fact Sheets

The Value of CTDL for AI

As uses of AI and machine learning are very quickly evolving for applications like skills mapping, learning opportunity recommendations, and career exploration, CTDL provides huge advantages for improved accuracy and relevance in these applications. The CTDL schema and CTDL data in the Credential Registry are highly useful for training and refining AI models because they are structured data that is organized, predefined, and formatted consistently. And the more data that is available in CTDL, the more thoroughly AI tools can analyze patterns in the linked open data and make valuable connections. Credential Engine is working with partners on innovations that combine CTDL as a rich data schema, the huge body of CTDL data that is already in the Credential Registry, and new AI-assisted tools that publish to and consume from the Credential Registry. This resource provides an overview of structured data and the value of CTDL for AI.

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