Education is increasingly occurring online or in educational software, resulting in an explosion of data that can be used to improve educational effectiveness and support basic research on learning. In this course, you will learn how and when to use key methods for educational data mining and learning analytics on this data.
The emerging research communities in educational data mining and
learning analytics are developing methods for mining and modeling the increasing amounts of fine-grained data becoming available about
Efforts to harness big data analytics within the education sector isn’t new; that’s been going on for years. Look at Gooru or eSpark — there’s even a Big Data in Education course you can sign up for today.
This is powerful stuff and could provide a huge boost to student attainment.
EU leaders underlined the importance of big data for Europe’s economy at their October 2013 summit. Less attention has been paid to date to the crucial question of how big data can help to deliver an education system that enables Europe to realise the full potential of its most valuable and precious resource – its people.
The internet has already had a profound impact on the way students acquire information and carry out research. Attention is now turning to the potential of big data to help radically transform the European educational landscape. It could, for example, provide educators with crucial information about individual students’ abilities and approaches to learning, enabling them to monitor progress more accurately so that courses can be designed to meet specific needs.
In addition, big data could help teachers to assess the effectiveness of different learning tools and techniques, to develop ‘smart’, interactive learning materials that also make education more fun.
Finally, it could provide researchers in universities with new tools to understand a changing world and new ways to share their findings with others, to maximise the impact and efficiency of their research.
Big data makes all this possible: used wisely, it can unlock the door to a more personalised learning experience which will motivate young people to study and better equip them for life beyond the classroom, helping to ensure Europe has a workforce with the skills required to succeed in today’s highly competitive globalised economy.
Key priorities include motivating educators and policy-makers to use big data to transform learning for the benefit of individuals and society as a whole; addressing concerns about privacy and security to reassure the public that personal data will not be misused; providing teachers, students and researchers with the training required to gain the full benefit of big data; and encouraging the collaboration and partnership required to capitalise on the big data revolution.
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