Big data is used in some fields and online learning isn’t an exception. Experts predict that over 75% of all companies in the world will invest in big data analytics over the next decade.
What is the big data? Big data is a field that treats ways to analyze, systematically extract information from, or otherwise deal with data sets that are too large or complex to be dealt with by traditional data-processing application software. These large data sets are analyzed to identify patterns and trends, especially those associated with human behavior and interactions.
Big data in online learning is data sets that are created by teachers and students during the training process. They may consist of personal data, attainment level, usage data, etc.
How the usage of big data can help online learning development? First of all big data helps educational institutions set up their courses to offer students more personalized, interesting, and informative learning. The ability to analyze such data allows us to improve feedback with students, understand the causes of underachievement and evaluate the effectiveness of courses and, on this basis, to improve our educational programs and increase student engagement.
The advantages and prospects of using big data to develop an online education system are obvious. Involving all providers in this process is a matter of time.
Innovations in cloud technologies have been brining great opportunities to online education.
Online education brings countless benefits from lower fees and location freedom to extra flexibility in terms of choosing your courses and the time you want to invest in studying.
On 15 November 2020 SIIL jointly with our partner SSHE (Swiss School of Higher Education, Montreux) announces the opening of the Swiss International Centre of Languages and Translation.