Benchmark Data Model – A Best Practice for Publishing

We know that students, employers, job seekers, and others need comprehensive information to better understand and make decisions about credentials. To become credential literate, we must first ensure that our credential data is described in a common way. The Credential Transparency Description Language (CTDL) provides this common language through a rich dictionary of terms that

Benchmark Data Model- Certification and Licenses

We know that students, employers, job seekers, and others need comprehensive information to better understand and make decisions about credentials. To accompany Credential Engine’s minimum data policy, we created benchmark models with input from our Advisory Groups, registry participants, and other stakeholders that demonstrate the essential data that users need. These benchmark models are recommendations

Benchmark Data Model- Badges and Apprenticeships

We know that students, employers, job seekers, and others need comprehensive information to better understand and make decisions about credentials. To accompany Credential Engine’s minimum data policy, we created benchmark models with input from our Advisory Groups, registry participants, and other stakeholders that demonstrate the essential data that users need. These benchmark models are recommendations

Benchmark Data Model-Degrees and Certificates

We know that students, employers, job seekers, and others need comprehensive information to better understand and make decisions about credentials. To accompany Credential Engine’s minimum data policy, we created benchmark models with input from our Advisory Groups, registry participants, and other stakeholders that demonstrate the essential data that users need. These benchmark models are recommendations

Benchmark Data Model – Organization Information

We know that students, employers, job seekers, and others need comprehensive information to better understand and make decisions about credentials. To accompany Credential Engine’s minimum data policy, we created benchmark models with input from our Advisory Groups, registry participants, and other stakeholders that demonstrate the essential data that users need. These benchmark models are recommendations

A Guide to Key Initiatives for the Connected Learn and Work Ecosystem

Note, this version has been superseded. To read the most updated document, click here. The ever-shifting work and learn landscape has made selecting an education and training program a more high-stakes choice for students and workers than ever before. With hundreds of thousands of credentials available in the U.S. alone, and little easily-accessible data available

CTDL Highlighted in EDUCAUSE: 7 Things You Should Know About The Comprehensive Learner Record

Digital student records are evolving in ways that more fully document student achievements. One such form is the Comprehensive Learner Record (CLR), a digital asset that helps students both better understand their learning and share a verifiable record of their knowledge and accomplishments. CLR content can include portfolios, learning artifacts, course descriptions and syllabi, rubrics, performance evaluations, and other materials

Credential Engine Highlighted in CNBC Podcast

In this week’s Fortt Knox podcast with CNBC’s Jon Fortt, he explores the higher education & workforce marketplaces, with an eye towards how today’s students and workers are leveraging educational opportunities to reach their career goals. Listen in to learn from experts like education reporter, Laura Pappano, Guild Education’s CEO, Rachel Carlson, and Anant Agarwal, an MIT

Kickoff 2019 with Credential Engine

The Credential Engine Team is excited to bring you new resources and ways to engage with our work in 2019. Here’s a sneak peek of what’s coming up: January 10 – The Pathways Terms Proposal Informational Webinar offers you the opportunity to help shape the pathways terms we’re adding to the CTDL. January 22- Join EDUCAUSE