As Product Manager for Learning Pool (formerly HT2 Labs), I’ve been involved in a lot of conversations with various types of organisation, where the phrase “personalised learning” has been bandied about.
In fact, the phrase personalised learning (also personalisation of learning) has been a hot topic not just in those initial scoping conversations, but also across demos, conferences, webinars, blog posts, debate panels – everywhere!
The increased used of of machine learning (ML) and artificial intelligence (AI) within L&D has coincided with the popularity in the use of the term personal/personalised being used more generally across different technologies we use in our everyday lives; such as retailers recommending what to buy based on previous purchases, or the ability to customise the types of notifications you receive on social media platforms.
However, I noticed that the way people were talking about personalised learning – what it was and how it worked – varies quite dramatically, and it doesn’t appear to correlate to the context. Even in the same room people would refer to different things as “personalised”.
When talking with colleagues back at Learning Pool (formerly HT2 Labs) about this, we all agreed we’d seen this trend across our different experiences. And so, in true Learning Pool (formerly HT2 Labs) spirit, we decided it was time we donned our proverbial lab coats and did some research to find out exactly what personalised learning does actually mean to individuals and where they saw the benefits, if at all.
Sharing Our Research Findings
We will of course be sharing the results of our survey (and other related research) in due course. Your feedback will also be considered as we continue to build and develop the Red Panda platform.
We’ll also be using our survey findings to help inform the design of our next free Massive Open Online Course (OLX) – Demystifying Personalised Learning – starting in February 2018 and open for pre-registration now.