For all the talk of big data being the next big thing in learning technology, few people mention that in workplace learning there just aren’t any examples of big data to speak of. The data collected just isn’t at the same scale. However, big data has led to an explosion in data analysis tools and techniques that learning technologists can use in their work. Throughout 2014 I’ve been dipping into data science MOOCs, learning the basics of R programming, and thinking about how to apply this within learning and development. These are some of my initial thoughts and notes.
Can understanding big data techniques help us to improve learning outcomes and performance?
Big Data as a term started appearing following the success of online services such as Facebook, Google Search and Twitter which gather data on hundreds of millions of people. Data including their likes and dislikes, online behaviours, website usage patterns, shopping patterns; it all has value and can be sold to the highest bidder. Now that users can also register for other online services using their Facebook, Twitter or Google logins, they literally leave a trail of ‘digital exhaust’ behind them. This data is all collected and analysed on the assumption that it is valuable to someone, somewhere, or at least may be one day. The data gathered by just one service like Facebook amounts to over 500 terabytes per day! This is the scale that big data operates at, and the harvesting of personal data is BIG business. Jaron Lanier is not wrong in suggesting that next time you post a status update, they really should be paying YOU!
Edtech and learning technology entrepreneurs clearly want a slice of this action, hence the buzz. However, even the largest organisations only have relatively small amounts of learning related data. Even an organisation with half a million employees will only have learning related data measured in little old Gigabytes. That’s not big data at all.
However, if there is one big takeaway from the big data world then it is the renewed focus on data analysis and data driven insights. Take a look at any MOOC catalogue to see the popularity of data science courses. Continue reading “Data science: the new skillset for learning technologists”