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Moore’s law acts as a guideline for how the computing power advances over time which is roughly interpreted as technology doubling in power every two years or so. As such, this can be observed in the industry with the rapid expansion of new and innovative technology such as artificial intelligence (AI) or virtual reality (VR). However, according to a recent survey conducted by Northeastern University and Gallup, “just 22 percent of people with a bachelor’s degree or higher believe that their education prepared them ‘well’ or ‘very well’ to work with AI” (Cruz).
This surprisingly low number highlights some of the challenges that many universities face when adapting to the rapid growth of the tech industry. How can universities offer their students the training they need over a span of four years when companies are evolving much quicker? On top of that, how can educators develop a curriculum that gives their students the skill sets that are “automation resistant”? Automation is already beginning to replace job roles traditionally requiring human interaction. Looking back at the survey, just over three-fourths (76%) of Americans felt that “AI will fundamentally change the way people work,” but less than half (49%) believed that soft skills such as creativity and critical thinking would be necessary for employees to work in tech-heavy industries (Cruz).
One hands-on approach to mitigate this problem would be to have students work directly alongside professionals in the industry who are working in emerging fields. Moreover, collaborating in real environments through partnerships between universities and local businesses would not only give students quality and relevant experience, but also creates more networking opportunities to establish connections with prospective employers for after graduation.
For more information, read the full article on EdTech.