3 Matching Annotations
  1. Dec 2022
    1. credentials need to be enhanced with additional data aboutindividual courses/modules a person has studied, together with the learning outcomes(skills/knowledge) obtained in each of those modules and other documentation of ability.Credentials should also be used to connect to evidence of achievement such as architecturalportfolios or coding projects. Wherever possible, credentials should refer to occupational standardsor sectoral competence frameworks to increase the ability to interpret them in a specific context

      Transparency is an equity issue. Adding common language and richer data on skills and competencies to credentials means: * More data about courses/module * Learning outcomes from those modules * Connect to evidence of achievement * Refer to occupational standards/competency frameworks

    2. Multiple initiatives have tried to make various kinds of social recommendations by issuingcredentials. However, up to this point they have worked better in closed social networks rather thanas open credentials due to the ability of social networks to tie a recommendation with the profile(and identity) of the recommender. There are also several nascent initiatives to create open linkeddata around which skills, credentials and issuers are valued by employers.

      Clearly, the LinkedIn recommendations use case is an example of one of these initiatives. It has not succeeded in creating strong social signals anchored in trust models. We are wise to consider what's missing from efforts like this. An even greater concern however, and one that I believe is an essential if we are to realize the transformative potential of digital credentials, is how to design social signals built on trust models that help all people. In a world long-governed by "it's not what you know, it's who you know," the social signals and trust models are overweighted in favor of people with connections to other people, organizations and brands that are all to some degree legacies of exclusionary and inequitable systems. We are likely to build new systems that perpetuate the same problems if we do not intentionally design them to function otherwise. For people (especially those from historically underserved populations) worthy of the recommendations but lacking in social connections, how do they access social recommendations built on trust models?

  2. Nov 2022
    1. This includes candidates whose experience has been in a different industry, andwho may not use the appropriate terminology when describing their own skills or even be awarethat they would qualify for jobs in a separate industry even though they have all the skills required

      Helping earners appropriately articulate their own skills is an equity issue.