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5 characteristics of how Knowledge Workers like to learn at work

Jane Hart

From the results of the Learning in the Workplace survey and my analysis of how smart workers use social media to work and learn today, 5 key characteristics of how Knowledge Workers like to learn at work have emerged.â?¦ Collaboration Social learning'

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Supporting continuous learning and performance improvement – a vital new area of work

Jane Hart

In my previous post I showed that an analysis of how Knowledge Workers like to learn at work suggests that L&D departments should consider working more closely with people managers to support the continuous development and performance improvement of their people – both in teams and individually.â?¦ Social learning'

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Organizational Network Analysis: Impact of Proximity on Collaboration

ID Reflections

Today, as I sat reading ( once again ) Informal Learning by Jay Cross in a distant hotel room in Westbrook, Connecticut, the point on Organizational Network Analysis hit me. Using Organizational Network Analysis (ONA) to pinpoint the vulnerability of the informal organization, one of the key findings was that: ".the

Network 128
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About blogging, tunneling visions and knowledge entrepreneurship

Joitske Hulsebosch eLearning

Blogging may hence be an important activity for professional development of knowledge workers and can help develop their professional identity. Bloggers contributed to a tunneling vision instead of organising vision The idea of creating an organising vision through participation on blogs was not found through analysis of the blogs.

Blogging 160
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The reskilling roadmap: Navigating evolving human, AI roles in the workplace

CLO Magazine

Personalized learning plans: Design customized road maps for each employee based on organizational goals and skill gap analysis. Under the cover of its Machine Learning University, Amazon, for instance, has established a reskilling program that helps thousands of workers with little machine learning knowledge become experts in the field.

Roles 84
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Re-imagining Work & Learning in a Networked World

ID Reflections

Loss of tacit knowledge Attrition, retirement, siloed pockets – all lead to the loss of tacit knowledge so critical to organization success 5. Loss of talent Smart knowledge workers leave for orgs where scope for learning and mastery are higher 6.

Network 202
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List to Learn, Learn to List

Kapp Notes

I don't totally agree that work and learning are exactly the same, there is some overlap but there are specific things workers need to learn that do not result in a direct work product. It would be great for the worker to learn to write more efficient reports but learning to do so is not a work product.