HOW WE ENABLE SKILLS RECOGNITION
Credentialate makes learners’ skills visible as they walk the learn-to-earn journey. With skills recognition, all stakeholders benefit – learners can identify and prove what they know even before they finish learning, educators can identify areas of the curriculum that do or do not serve skills, and employers can see what a learner can bring to a role and how it aligns with industry needs.
Create order from data chaos
Centralise your learner data and convert it into a structured, machine readable format. Capture and collect evidence of the skills present in your curriculum and align to frameworks. Simplify data complexity to make the path clearer and data mobility seamless.
Skills visibility along the learn-to-earn journey
The learn-to-earn journey is the path learners walk to make the leap from learner to employment:
Skills recognition continuum
The Edalex Skills Recognition continuum shows not only what needs to be done to recognise skills, in what order, but also how it can be achieved and where are platforms – openEQUELLA, Credentialate and openRSD – can help you achieve your goals – at scale.
It details the movement from the curriculum to recognition to deliver learner agency, incorporating evidence, artefacts and framework alignment on the way, resulting in rich skills visibility:
Digital Content – Skills visibility starts with the curriculum, through digital content. We are making RSDs and RSD libraries available to anyone that wants to access and use them via openRSD, which is an open source platform available now.
Curriculum – Within the curriculum, learner achievement data tends to sit in the learning management system (LMS), but could also sit in independent assessment platforms or work integrated learning platforms. We integrate fully with the big four LMS, and for those that use a bespoke LMS or other system we can integrate using the Credentialate Public API. The type of curriculum data Credentialate uses includes rubrics, gradebook items, student performance data and course data – anything that relates to learner achievement or performance.
Measure – The Skills and Competency Library enables competencies to be reused across the institution, streamlining the mapping of learner achievement data.
Our June 2022 release extended the concept of evidence, enabling the attachment of artefacts of learning to deepen the validation of learner achievement.
Meaning – Credentialate anchors a learner’s skills and competencies to a framework or taxonomy that has meaning to the learner, to relevant industries, or the wider national or international environment. This multifaceted alignment is vitally important, as the evidence, alignment and mapping all work together to underpin a credential to provide meaning and measurement for the skills and competencies that Credentialate aligns to your curriculum.
We integrate with and can import frameworks into Credentialate. A framework could be just one, or many with Credentialate providing one:many alignment capabilities. Frameworks can include an institutional graduate attributes framework, a national skills framework – such as the Australian Skills Commission – or international skills classification frameworks, such as O*NET or ESCO. It could also include job market data, such as that available through Burning Glass or Emsi.
Recognition and Representation of Learning – Digital recognition of learning is necessary to allow for learner mobility and verification. Verified credentials and the ability to encrypt data will only become more important as we move into the digital knowledge economy.
Digital recognition comes in the form of digital badges, and the personal evidence records that Credentialate attaches to it that underpins the digital badge. From the personal evidence record, you can show alignments and the meaning to skills, taxonomies and frameworks.
Mobility and Learner Agency – We then pass that data onto Credential Exchanges. This is a part of the ecosystem that is still evolving and moving very rapidly.
However credentials, exchanges, comprehensive learner records or learner employment records look in the future, we can pass that data on if we’re all working to data standards. Learners benefit from mobility and learner agency as a result.
Increase the portability and transportability of learner data. Learners can move frictionlessly between education systems and providers
Skills act as a tide that lifts all boats and helps to close equity gaps. With Credentialate, verifiable skills data is accessible and transparent to educators, learners and employers
Learners gain visibility, tracking and control of their digital credentials, providing more meaningful return on their education investment
Built to open standards, Credentialate maps existing data to skills outcomes, creating structured data from data chaos, resulting in an aligned Skills Recognition Infrastructure