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Please add your name and organization/affiliation

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Please add your name and organization/affiliation

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Ed Design Lab

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Education Design Lab

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Credly by Pearson

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IBM - Hybrid Cloud Group

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ASU Enterprise Technology Business Analyst

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Recently was the DoD director of Advanced Distributed Learning. My background is at the intersection of learning science, tech, and data. I'm a learning engineer.

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Testing of learners in different stages of life.

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Testing of learners in different stages of life.

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Initially, just have a human play that role, using rough wire frames and wizard-of-oz approaches to see how early human participants react.

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- learners (secondary, tertiary, professional)
- issuers (education institutions, training providers, traditional ed, associations)
- employers (HR, L&D, talent development, strategic workforce planning)
- credentialing technologists

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We could host a "wargame" (so to speak) with individuals playing different roles (e.g., learners, educational institutions, industry, and so on) to see how the environment reacts to LERs

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Create narrative stories (perhaps delivered as short videos) that envision how LERs would work in practice to bring benefits to different personas.

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Bake impact measurement into product development

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Bake impact measurement into product development

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understand target impact metrics and ensure the platform is built to capture the data you need

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We can narrow-down a list of LER core -ilities

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FERPA holds for Institutions on credentials impact on credential sharing.  AI security would also have to be validated.

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FERPA holds for Institutions on credentials impact on credential sharing.  AI security would also have to be validated.

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Should likely have some criteria aligned to the AI ethics requirements

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Different types of credentials have different purposes, target audiences, and value props for earners, issuers, and consumers. If you can bucket credentials into categories and be specific about what the target outcomes are and whether earners achieve those outcomes, it will be a rising tide that raises all ships...AKA it'll build trust in all credentials.

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We'll need to think of some business or society ROI metrics to incorporate, in order to get pragmatic support. (c.f. how the JEDx project targeted business efficiency metrics to get their support.)

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There are tons of use-cases for credentialing, and a LER should have a way of consuming and contextualizing each of them (see "define credential categories" note)