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.
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.