How modern professionals prefer to learn

But which of the different ways of learning described on the previous page bring most value to a modern professional?

My Learning in the Workplace survey, now in its 7th year, provides some answers. In it I ask individuals to rate the importance (i.e. value and usefulness) of 12 different ways of learning for and at work:

  • Classroom training
  • E-Learning (and web courses)
  • Internal resources (documents, guides etc)
  • Knowledge sharing within your team
  • Daily work experiences (i.e. doing the day job)
  • Manager feedback and guidance
  • Coach or mentor feedback and guidance
  • Professional networks and communities
  • Conferences and other events
  • Blogs and news feeds
  • Web resources (e.g. videos, podcasts, articles)
  • Web search (e.g. Google).

The survey has had over 5,000 responses from 65 countries worldwide. The full results are shown below ranked by the total Very important and Essential scores (in blue). The red figures highlight where the most votes were received in each category.

The results in 2018 (once again) show that for modern professionals the least valued ways to learn at and for work are the traditional workplace learning activities – classroom training and e-learning – whilst the most valued ways to learn for work are the experiences and activities that happen as part of daily work, through interaction with people as well as the use of informal web content.

In fact the significant features of the most valued ways of learning in the workplace, are that they:

  • provide a personal experience – in that they are selected by the individual concerned in terms of what, how and when he/she needs – rather than being a one-size-fits-all experience, designed by someone else (usually L&D).
  • are self-organised and self-managed–  individuals make their own decisions about how to address their learning and performance problems in order to self-improve and self-develop.
  • are an integral part of the daily work

Why the current workplace learning model needs an overhaul

Last updated: December 10, 2018 at 8:26 am

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