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CredEd

There is a strong need to give credit to learning outside formal organized education. This accreditation should focus on skills.

Photo of Joost Schouten
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CredEd

give credit to learning or to education, not necessarily provided through an institute, and not necessarily provided in a course or program. Individuals have different means of learning and different ways of absorbing information. In an ever smarter and digital environment there is also much less need to test people's knowledge. Knowledge is important as a foundation for making creative links. However focusing on knowledge often is at the cost of creativity and problem solving. Traditional institutes in many places have an emphasis on results, results which are based on knowledge tests. Think about the league table system in the UK, where schools are rewarded by the government on test results relative to other schools. This system incentives schools to prepare students for tests, rather than developing skills applicable to the future job market. Who needs to remember facts when you can find the answer to any question faster than it takes to think of the question?

CredEd seeks to give credits to the skills by actual jobs. It would be open to anyone who is willing to give open credits and will use machine learning to identify skills, rank sought after skills and challenge companies and institutes alike to provide a means to accredit these skills. 


Current application


OPENideo has just come up with badging contributions to a challenge. This is one form of accrediting a number of skills. Effective collaboration, creative thinking and a number of others.

Aspiring Minds uses machine learning and artificial intelligence to assess skills which are sought after by companies.


we would invite companies such as aspiring minds to challenges to effectively evaluate other skills, such as creative thinking and effective collaboration etc. It could be done with the correct information available. The more accreditation is added and linked to current job profiles the more powerful the system gets.

For example, IDEO badges and other accreditation are tagged on linked in. Linkedin profiles contain job titles as well as skills which people have. This circular never ending system could identify in demand skills, which translate to possible jobs, which can be linked to accreditation which can be linked to online resources/ courses.

The system would have to be trained like any other machine learning and correct data and logical references would have to be established. Furthermore skills of the future would have to be tagged to courses/ challenges in order for this to work as well.



Who is your idea designed for and how does it reimagine higher education to support the needs of tomorrow?

All learners would benefit from accreditation for skills rather than programs/ courses. Traditional accreditation are often a generic stamp of ability. Furthermore given the interconnectedness of the system, the accreditation of skills could also suggest career options, giving a meaningful feedback loop for those who already have skills. In addition it works the other way around, which skills do i need to develop in order to pursue a career. It would also give credit to the accreditation itself!

This idea emerged from:

  • An individual

What skills, input or guidance from the OpenIDEO community would be most helpful in building out or refining your idea?

i would need input from people familiar with machine learning and system thinking

What early, lightweight experiment might you try out in your own community to find out if the idea will meet your expectations?

build an offline prototype gathering information on a number of online courses, seeing whether i can tag learned skills to them, and whether that translates to profiles on linkedin.

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Photo of Kate Rushton
Team

Hi Joost,

I am pleased to see that you are inspired by the new OpenIDEO badging system.

Would you be assessing skills by people putting the skills into use or by completing the MOOCs? Could you give badge acceditations to Massive Open Online Research (MOOR) ?

Photo of Joost Schouten
Team

Hi Kate, Yes, it is very interesting that IDEO thought of badges which you can tag on linkedin!

for my idea the accreditation is ideally done in two ways; A practical application example is the OPENideo badge. However this doesnt necessarily yet give you proof of skills acquired. Therefore i would propose to challenge accreditors to come up with online assessments for skills. I referred to aspiring minds as they are already using AI to do so. My idea is more to challenge accreditors to come up with an assessment for popular skills for the future (as well as current) the most relevant current skills could be derived from linkedin's database as people endorse each other for these skills. This in itself is of course also a rudimentary and non-biased badging process. Overall the idea is to have a process or a product around delineated accreditation.

Photo of Kate Rushton
Team

Thank you for replying so promptly and in depth as usual. Have you seen http://hackajob.co/ ? It is for coding skills but it might give you a few ideas on other skills that could be assessed?

Photo of Joost Schouten
Team

Hi Kate,

thanks for the link, I was not familiar with it (am not at all into programming myself) however the idea is very relevant, get real challenges in front of people and they can prove their skills. The challenge is to have an AI assessment of relevant skills. How would we assess at large scale creativity? or problem solving or collaboration?

Photo of Kate Rushton
Team

I wonder if inspiration could come from the way some companies assess job applicants.

https://www.kent.ac.uk/careers/sk/problem-solving-skills.htm
www.mckinsey.com/~/.../Problem%20Solving%20Test%20PDFs/practice-test-A.ashx
https://www.wired.com/2014/08/how-to-solve-crazy-open-ended-google-interview-questions/

Photo of Joost Schouten
Team

Hi Kate,

sorry for the late reply! i have been rather busy at work, and my 8 month old boy keeps me entertained otherwise :) its therefore at times hard to find time for this great platform! Yes, the idea is very much to use machine learning to assess skills which companies assess through their assessment centers. Typically we throw away a student CV other than it being used for an initial screen. That initial screen is very biased. When i worked at one of the top financial institutes in the world in London, you only consider CVs from certain universities. However, it is the assessment center which counts as most students do not have enough experience to assess them on. Therefore a university degree is just an expensive stamp which gets you through the first stage. Afterwards we assess skills. Wouldnt it be a lot fairer if we assess skills to determine someones suitability? Running an assessment center is very expensive (in the financial industry language, it involves a number of associates, VPs directors, Managing directors for each candidate assessed) multiply that by a few hours of their time and the cost per candidate is several thousand pound sterling per candidate. Hence, the prior screening. CredEd would remove the biased prior screening by assessing skills for everyone on an equal basis. Once CredEd has gained credibility it would help candidates get an "assessment" of their skills and therefore could be considered for jobs they otherwise are ignored for