- Oct 2024
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mailchi.mp mailchi.mp
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Increasingly, our partners are interested in building collections - or connecting to - credentials that they don’t own, issue, or offer to show learners the full pathways of learning opportunities that they can pursue.
Example of how this gets operationalized: There will be platforms (think Naviance on big data and personalized data steroids) that will help Learners discover right fit opportunities based in part on the credentials they already have. There will be savvy institutions connecting to others' credentials so as to increase the likelihood that Learners discover those institutions' program offerings. This will be akin to a sort of skill-based SEO approach as a recruitment/admissions strategy.
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- Sep 2024
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cps.northeastern.edu cps.northeastern.edu
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Examples of these sources would include an established digital walletprovider, or an exhaustive catalogue of digital credentials that are available, such as the repositoryhosted by Credential Engine. Having the curricular data source, which has a connection to the parsingcompanies, also create a connection to credential information opens up a connection, albeit anindirect one, between the non-degree credential information and the parsing activity. Instead ofreceiving just a course name from the resume parser, the intermediary can also receive a non-degreecredential identifier that is sent to the credential data source to look up and return skills information
Opportunity to go deep here. Bread crumb is to check out the issuer directory with Credential Engine, where they are inviting institutions to publish details about their credentials in a standardized format (CTDL) that will hopefully one day be consumed by connections like those hinted at here.
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- Jun 2023
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credentialengine.org credentialengine.org
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We now have the capacity to ensurethat all possible pathways – andthe essential information about allthe providers, credentials, skills,assessments, quality indicators,outcome measures, transfer values,and links to job skills critical tounderstanding and building thosepathways – can be made fully open,transparent and interoperable sothat a new generation of tools tocustom pathways to meet everyone’sindividual need
There is a lot in this little paragraph, and a big point to not miss is the call out of "individual need." There will be dashboards and other tools that purport to serve learners/earners with comprehensive data about the possible pathways that are open to their successful futures. A harmful that we can anticipate many falling into however, will be generalized data that fails to leverage "nearest neighbor" practices that provide users with data based on the outcomes experienced by people with shared characteristics to their own. For example, if a specific pathway has great outcomes that are disproportionately enjoyed by White males under 45 who already work in that industry, then the generalized data may be misleading to a career-changing Black woman in her early 60s who is investigating the next steps in her journey..
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- Dec 2022
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www.fierceeducation.com www.fierceeducation.com
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that envisions credential transparency and open data as tools to unlock the learn-and-earn ecosystem nationwide and help every learner make more informed decisions about the credentials they might pursue
WHY this stuff matters. It's a responsibility to our learners (eg consumers)
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credentialengine.org credentialengine.org
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Credential Engine Learning and Employment RecordsAction Guide
14 page playbook on LERs
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- Nov 2017
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events.educause.edu events.educause.edu
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Moving to a Web of Linked Data for Credential Ecosystems
Oh? Credentials going Semantic? CBE going TBL?
Might be worth a deeper discussion with @jeffgrann, at some point.
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