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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.
Credential Transparency State Partnerships Overview
State and regional partners are working with Credential Engine to use the Credential Transparency Description Language (CTDL) and publish data to the Credential Registry. Credential Engine’s technologies support numerous statewide priorities. This resource provides an overview of our current state and regional partnerships.
Simplifying Credential Data Management using Credential Transparency Identifiers (CTIDs)
Credential Transparency Identifiers (CTIDs) bring the benefits of unique identifiers to credentialing ecosystems. CTIDs allow credentials and their associated information to be distinguished, thoroughly described, and widely recognized through effective data management practices.
Equity Advisory Council Report and Recommendations
Credential Engine’s work is centered around data transparency. Transparent, linked, open data has been identified as a particularly valuable tool for revealing inequities, understanding their root causes, and then informing and driving systemic change in a number of areas, including postsecondary education and training. Credential Engine understands that in a society rife with inequities, a commitment to open data use alone is not sufficient. To support the intentional identification and publishing of key data to aid the field in assessing equitable pathways, transfer, and the recognition of learning, Credential Engine convened a broad coalition of equity-focused thought leaders, called the Equity Advisory Council (EAC). The Council, along with HCM Strategists, and Credential Engine staff worked diligently to create a report of recommendations.
Office of Management and Budget (OMB) Letter on Uniform Guidance
Response to the Office of Management and Budget (OMB) for Request for Information on Uniform Guidance for Grants and Agreements
How to Align Digital Credentials with Meaningful CTDL Data
Examples of digital credentials that are designed to include alignments to the Registry are Open Badges, W3C Verifiable Credentials, and Velocity Network credentials. Use these simple steps to enrich digital credentials by linking to CTDL data in the Registry.
Alabama’s Success Plus Attainment Goal Progress 2018–2021: Credential Attainment Report
This report, an important step in accounting for credential attainment across multiple education and training systems, aims to provide a clearer picture of the credential landscape and statewide progress toward attainment goals. The credential attainment numbers represent important progress toward Alabama’s Success Plus goals.
Using Credential Transparency to Advance Student Success and State Outcomes: Spotlight on IndianaÂ
Given the advantages of credential transparency to improve equitable student and state outcomes, numerous state higher education executive officers (SHEEO) organizations and the institutions they work with have begun to implement credential transparency and registries in their states. To explain the value of these registries, SHEEO has highlighted Indiana’s Commission for Higher Education (ICHE).
Learning Economy Foundation and Credential Engine Joint Services Scaling LER Ecosystems with Linked Open Data and LearnCard
Learning Economy Foundation (LEF) and Credential Engine (CE) are excited to announce a partnership and joint services offering to empower learners and accelerate the adoption of open tools and protocols that enable individual agency and organizational insights. Together, LEF and CE bring a complementary package of technologies and best practices to states, post-secondary institutions, employers, and any organization looking to make ecosystem-level impact at scale.