8. lokakuuta 2019

Educational Data and Learning Analytics is the New 10X for Personalizing Learning


Education and technology is evolving at a faster pace than in any other period in recent history. Global Market Insights (2018) predicts that Artificial Intelligence (AI) in the education market is $6 billion globally by 2024.

Data - the new oil of our times - is generated at a speed that we have never seen before. World Economic Forum (2019) estimated that 463 exabytes of data will be created each day globally – that’s the equivalent of 212,765,957 DVDs per day by 2025. This is also mind-blowing from a historical perspective as 90 percent of all the data in the world was generated during last 2 years. The quality of data is key to unlocking next level of insights.


Future-proof and Skills?

We are on the cusp of the 4th industrial revolution with changes also for education and how we work. The skill sets required are under constant change. According to World Economic Forum 2016, more than 65% of learners will work in jobs that don’t even exist today. There is also strong call for a broad spectrum of skills - also soft skills. According PWC (2018) 91% of CEOs globally say that they need to strengthen their organisation’s soft skills alongside digital skills. The question is: are we preparing students with "future-proof" skills? The answer is most likely both yes and no. It is tough to predict as the world is more complex than before.

Versatile Learning Landscapes

As technology is changing, also the learning landscapes are getting more multi-faceted. Learning and teaching is taking place anywhere anytime. Schools are embracing new technologies. The learning journey of a student renders multiple touch-points to a wide range of learning events, interactions, devices and resources. As a result data resides in multiple locations, fragmented, siloed, non-comparable and sometimes even forgotten.


From hindsights to insights


One of the biggest challenges for educational institutions and systems is the lack of a holistic 360 view into data. Poor visibility and insights into educational data affects both learning outcomes and ROI. Informed decisions on the other hand, requires data and making use of data analytics. It is clear that data alone will not improve education, but it can be a powerful part of the solution. We should move from hindsight to insight and base decisions on data.

Imagine being able to see what type of 21st century skills are practised or developed by pulling data from various applications. Imagine being able to drill down from state, district, school, class to individual level to get a snapshot or historical data on future skills like problem-solving, creativity, collaboration and digital competencies.


Governments and education providers would benefit from cooperation with innovative start ups to create data-driven solutions supporting future skills development. This means rethinking education as we know it. It is not an over-exaggeration to proclaim that Educational Data is the New 10 X for learning. This is underpinned by data.


Learning Analytics

There are several reasons why a systemic approach to data-collection and analysis is critical within education. For instance, the ability to predict student performance based on a set of features (inputs values) to improve educational outcomes and early intervention. Connecting the right data-sources and data-models is the key when predicting academic success.



There are however several other areas benefiting of data and insights.The education sector is investing every year extensively in educational software and hardware. Understanding software adoption and hardware penetration to calculating, ROI (return on investment), developing future-proof skills all need metrics and data. This is important from allocation point of view, but also has impact on learning outcomes.

If you want to hear more about our data-analytics solution for education, please contact us!

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