InteroperabilityBuilds Shared TrustBetween Educationand Employment
It's a huge miss if disparate units all have disparate software solutions. It is a huge disaster in serving learners if any of their systems are not interoperable.
InteroperabilityBuilds Shared TrustBetween Educationand Employment
It's a huge miss if disparate units all have disparate software solutions. It is a huge disaster in serving learners if any of their systems are not interoperable.
INTEROPERABILITY
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Olivia is a highly skilled, experienced, and qualifiedcandidate who is expanding her skills and abilities overtime, yet she isn’t able to show her progress. Therefore,her application does not paint a comprehensive pictureof her ability. Because she cannot upload verifiableproof of her skills, the ATS has filtered her out before ahuman even had the chance to assess her qualifi-cations. If Olivia chooses to rely on listing her manageras a reference to verify her skills, it could reveal herintention to seek a new job, jeopardizing her currentone.
Persona narrative
DATACOLLECTED
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This is especially true ofrecords that are older and housed in legacy data sys-tems. The sharing of credentials, learning, and employ-ment records is a clunky and imperfect process thatoften results in frustration for learners, job seekers,employers, and workforce advocates
Fragmentation limits potential
The U.S. Department of Education says these integrated, next-generation strategies should feature a credential registry, learning and employment records (LERs), and a skills-based job description generator.
FIPSE grants required these. LER is part of what's required.
Yet most credentials fail to adequately capture the skills and knowledge of students who earn them, keeping employers in the dark and closing doors for jobseekers without four-year degrees
What's inside? What is the credential credentialing?
Digital badges can be stacked together to replace or supplement formal and informal learning experiences and be understood by learners, higher education, and the workforce
"understood" => I like this framing of centering that a purpose of all of this is to make sure that the learning can be understood (and thereby valued) by the audiences who need to understand it. In order for credentials to have currency, the brokers of currency need to know what the assets are and how to value them.
Micro-Credentials and Digital Badges: An Exploration of Definitions and Implications in Higher Education and Workforce
fundamentally change how we connect talent to opportunities
This is a narrative few are hearing and fewer are promoting: a huge benefit of the ecosystem vision is about connecting people and opportunities
And more importantly, what could it do for workers, education providers, employers, and our communities?
LER Ecosystem
Certain types of learning (like degrees from well-known institutions) continue to be valued over others, even when they might not be the best indicator of job readiness
Given STRADA's Talent Disrupted findings, "might not be the best indicator" might be a generous way of putting it.
legacy systems move too slowly, lack the intelligence needed for smart decision-making, and fail to capture the full range of skills and experiences people bring to the table.
The WHY
iQ4willgenerateandpostadigitalcredentialinthehighschoolstudents'WalletforcompletedCareerandTechnicalEducation(CTE)programsusingtheDigitalCredentialConsortium (DCC)trusted,distributed,andsharedinfrastructureandthe1EdTechOB3wrapperthatprovidescredentialverification,makingiteasierforemployers,educators,andprofessionalstoverifycredential
Institutions increasingly turn to digital credentials to reshape their recruitment and admissions processes. Universities like Georgia Tech, the University of California, Berkeley, and Syracuse already use digital credentials to assess applicants holistically. By incorporating digital badges, microcredentials, and LERs, institutions can create richer, more accurate student profiles that go beyond traditional metrics like standardized test scores and GPA
More effective, efficient, and equitable admissions
For nearly half of the lower-wage employment analyzed, we identify at least one higher-paying occupation requiring similar skills in the same metro area. We also find that transitions to similar higher-paying occupations would represent an average annual increase in wages of nearly $15,000, or 49 percent.
Recognition can change the world. Signals need to be valid and trustworthy, but we're so close to making a huge difference in the world through recognition of things that are already there, just hidden in plain sight.
Better understanding of what learning described by credentials prepares earners to do in theworkforce, at the skill level. This may be a reframing of competencies toward position descriptionlanguage
Employers want to know what credentials are credentialing, and they want to hear it in their own language. The temptation will be to convince faculty and others to revise descriptions, however the opportunity is in leaving that and instead seeking their consensus and comfort with interpreting their descriptions into the languages of employers.
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.