Driving the Adoption of Microsoft Technologies - The Secret of Effective Learning
How to Drive the Adoption of Office 365 with Effective Learning
In order to create effective, Microsoft focused learning for the people in your organisation that actually stays with them we need to understand how memory actually works, what the challenges are and in turn identify the key factors which help us all retain information and consign it to long term memory, creating new skills and knowledge.
The model below demonstrates the 4 types of memory:
We have evolved to deliberately forget information we don’t need, when you consider all the stimulus, we receive constantly from all our senses it makes sense to think that we discard this superfluous information almost as fast as we receive it.
Sensory memory lasts a matter of around 3 seconds and helps us deal with life in the moment
Short term memory enables us to complete tasks i.e. remembering a phone number to a restaurant but once dialled this information will very likely dissolve.
Working memory can last from minutes to days and enables you to complete or do certain tasks. A good example is parking your car, it is likely you will remember where you parked your car until you return and then this information is then discarded.
Long term memory is obviously where we store the things we remember for decades.
So clearly the question we need to answer: How do we take information from working memory and consign it to long term memory creating new and improved skills surrounding your Microsoft environment?
There are several key factors which need to occur or be considered when creating an effective Microsoft learning strategy which ensures the consigning of information to long term memory:
By this we mean that learning should be tailored to the individual or group of individuals so that they can immediately see the relevance and create the desired connections as they learn.
. Challenge – Empirical research demonstrates that the learning journey for each person needs to challenge them. It is vital to strike the appropriate balance for each user, delivering training which challenges, forcing them to think through what they are learning. However, if the content is too hard or complex the learner will become stressed and shut down. If the learner is not challenged enough, they will become bored and unengaged with the content and process of learning.
Flow represents the perfect balance of challenge and building upon the learner’s current ability, whatever level they’re starting from.
Utilisation – using what we learn is a core construct to combatting the forgetting curve. If we practise something, if we interact with the it and utilise it, we build greater connection and meaning to it and ultimately transition this knowledge to long term memory.
· Recognising relevance to us, creating connections between our lives and the learning content
· Being challenged enough but not too challenged
· Putting what we have learned into practice
· Thinking about what we have learned from different angles
For all of this to occur it stands to reason that the most effective method for learning and allowing our brains to process and commit new knowledge to long term memory is through smaller, incremental bite sized learning, as opposed to a massed knowledge dump.
We are looking for
Due to new investment and continued research and development of new technologies and products a position has been created for a graduate software engineer or junior software engineer to join the team. The role will involve exposure to IoT technologies and AI.