Recent advances in virtual and augmented reality and in techniques such as gamification are creating excitement in corporate education, yet chief learning officers today still grapple with the same basic problems they’ve faced for more than 30 years.
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Topic: Personalization and Learning Pathways
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Rob Liano once said: “Knowledge is power? No. Knowledge on its own is nothing, but the application of useful knowledge, now that is powerful.” Adapting a role-based training curriculum produces training that can be consistently applied to an...
Like a road map guides you to your destination, a development map guides employees along their development journey. Simply stated, a development map provides a picture of the L&D experiences necessary to move from one level of job performance to the next.
The need to demonstrate the business impact of learning is paramount in today’s data-driven, increasingly transparent world. Today’s fast-paced and often disruptive business climate makes it harder than ever to engage diverse skills.
If you are a trainer, consultant, facilitator or anyone else who works with groups, you’ve probably experienced the rule of thirds.
We understand that in the corporate context personalizing learning may not always be practical. Our opinion is that the learning and development team in any company should still be looking for opportunities to contextualize learning.
Being selfish is typically frowned upon in most areas of our lives. The adage, “There’s no I in team” comes to mind when an individual is ridiculed for exhibiting a self-centered attitude. But in training, these rules don’t exactly apply.
Combine their thirst for learning with the competition to entice and retain millennial talent, and you have the perfect recipe for learning and development teams to shine and be the heroes of your organization.
It’s easy to imagine the scenario. A customer makes a new software purchase for her business unit. She finds tons of resources to help her get started with the product, but she doesn’t understand where to begin
Computers can process large amounts of data much more quickly than people can, making machine learning more efficient than human decision-making in many situations, including some aspects of corporate training.