Fiona Fennell holds a Masters in Team-level Innovation and has worked in technical talent attraction, development and retention for over twenty years. She is interested in what the latest in cognitive science can teach us about learning and how to make our workplaces of the future human-centric i.e. safe, sustainable and generative. Blogs from the Engineering Skillnet will address high-impact learning, team and leadership development and how to nurture T-shaped talent.
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“Time” magazine warned that A.I. “marks the end of humanity” but a greater risk is trying to out-run our own biology
Neuro-cognition is a useful lens to view talent retention as it reveals both biological responses such as ‘fight or flight’ and the mental processes behind our decisions.
The reality is that all manufacturing and engineering enterprises, large and small, are now in the risk management business.
Maintenance skills often develop gradually ‘under the radar’ through informal learning as workers observe others doing fixes or repairs
Getting engineers into shape to deal with uncertainty and complexity is about the right mix of ‘hard’ and ‘soft’ skills. We need to select and invest in learning opportunities that make them better able to work together in turning data into knowledge.
Bite-sized training in the form of short modules is gaining in popularity and can also be high-impact depending on the approach. Certain learning methods and tools result in more gains than traditional training but also may give us good cause to rethink learning.