According to Jay Cross’s seminal book, ‘Informal Learning’, collaboration should be an integral part of L&D practice. While focusing your efforts on defining a collaborative strategy may benefit your business, an inherent social culture of shared knowledge should exist at the core of your company. Without collaboration, a business becomes segregated and a skills gap is created – suddenly, the one person who knows how to do a certain task is taken ill, and no one seems to know what to do. If a collaborative working environment does not already exist within your company, your learning and development strategy may not achieve the best possible results.
Collaboration between employees can certainly create engaging learning experiences – yet the learning also needs to be impactful and aligned to business objectives. Enter ‘personalisation’, or ‘adaptive learning’. Fuelled by the rise in personalised solutions and the rapid development in data analytics, adaptive learning refers to the technologies used to track learner progress and tailor instruction accordingly.
Enabled by machine learning, adaptive learning technologies dynamically adjust the difficulty and positioning of the content by assessing an individual’s abilities and level of engagement with the course. By allowing for real-time tailoring of content, the learner’s performance is greatly accelerated, encouraging them to push on to the next level.
For four years, two options have dominated the top of the survey results tables: ‘collaborative/social learning’ and ‘personalisation/adaptive delivery’. The past four years, however, have seen a steady fall in collaborative/social learning’s share of the overall vote. From 13.4% in 2015 it dropped to 10.1% this year. The option remained in second place.