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My gut tells me that many employers are open to the idea of hiring individuals from the justice involved community, but have historically avoided the opportunity for a variety of reasons. Today, employers can’t afford NOT to look at every viable employee population. Employer tax incentives. Better job candidate flow.
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One method that is gaining momentum is “stealth assessment”. Of course, we are not talking about a ninja’s assessment, but what is stealth assessment actually? With this term, we usually refer to an innovative assessment for students that measures and supports learning in video games. Why use stealth assessment?
My gut tells me that many employers are open to the idea of hiring individuals from the justice involved community, but have historically avoided the opportunity for a variety of reasons. Why you should consider hiring the justice involved population Today, employers can’t afford NOT to look at every viable employee population.
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Software can analyze the data and match ads with users most likely to convert. The software will always make the best choices using algorithms that analyze all that big data. When this performance data is factored into the big data, the software can make better matches in the future. But the software doesn’t stop there.
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This panel led by John Sumser debates the tried and true vs. the innovative and unproven in assessing talent for the Future of Work. And my background is in mathematics, and building mathematical models for learning, for assessment, for classification, and for prediction. And called aptitude at that time. 04:59 | JS.
One method that is gaining momentum is “stealth assessment”. Of course, we are not talking about a ninja’s assessment, but what is stealth assessment actually? With this term, we usually refer to an innovative assessment for students that measures and supports learning in video games. Why use stealth assessment?
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Pre-employmentassessments are excellent tools that provide a wealth of data, and much needed objectivity, when used correctly. But those same pre-employmenttests can perpetuate bias if hiring managers aren’t paying attention to the whole story. And that, of course, includes your subjective gut instinct.
Software can analyze the data and match ads with users most likely to convert. The software will always make the best choices using algorithms that analyze all that big data. When this performance data is factored into the big data, the software can make better matches in the future. But the software doesn’t stop there.
60+ Top Global Influencers in HR Tech of 2019. Adrian Tan – HRsolutions architect at PeopleStrong & HR Tech blogger. Adrian is the co-founder of HR tech startup Career Hero – a company that provides job seekers with the necessary data to improve their chances of a job interview.
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Pre-employmentassessments are excellent tools that provide a wealth of data, and much needed objectivity, when used correctly. But those same pre-employmenttests can perpetuate bias if hiring managers aren’t paying attention to the whole story. And that, of course, includes your subjective gut instinct.
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