The education technology market is growing at a remarkable pace. One study found that it was worth $55 billion in 2019. Growth in the education technology market is largely attributed to advances in big data.
In our progressive world, Big Data is a social and economic phenomenon that is associated with the rapid development of new technological capabilities that aid in the analysis of huge amounts of data. This data is processed so that people can get particular results for further application. Let’s find out how Big Data is used in education.
Basic Data Types
Educational institutions around the world have always generated tremendous amounts of data. You can find some of the most important forms of data listed below:
- Data can be used to personalize the learning experience for every student
- data can analyze the way students engage with various electronic education systems, such as digital textbooks and online courses
- Data can assess the effectiveness of online learning materials
- Data can streamline adminsitrative procedures
- Data can be used for countless projection purposes
All these data types are kept and processed to offer users all necessary results and simplify their lives as much as possible.
Why Do Universities Use Big Data?
A lot of students take loans to study. Sadly, dropout creates a high risk of students defaulting on their debt and hurting their entire credit history. Students dropping out of school also harms the institutions themselves. The more students drop out, the less profitable universities are, and the less government financial support they receive.
One useful platform was created to reduce the number of dropouts. This platform aggregates all students’ grades and finds problems. A professional teaching staff work with students who fail to offer them tutors or other assistance. The university can also use big data to analyze student participation in a variety of campus activities. This option is considered key in terms of academic success. The university monitors the frequency of campus visits and activities with ID cards: if student involvement is decreasing, university staff identify the cause and can offer assistance.
Big Data and Students’ Homework
Students have always been unwilling to deal with their home assignments; that’s why the industry of academic writing help has actively developed in the educational service market for a long time. As soon as a student starts looking for help, googling, “Who can do my assignment cheap and fast?”, Big Data connects students with the most reliable writing services. These data-driven recommendations are based off of other customers’ feedback, as well as frequent requests from other students. In their turn, writing agencies adapt their paper works to the needs of their clients, taking into account the demands of colleges and universities. So, as we can see, Big Data allows you to get well-written homework or any other paper from academic assistance writers.
Personalization of Learning
Personalized learning is the stage of education. It can be used to create unique courses to help struggling students fill gaps in their knowledge, as well as help advanced students thrive.
As the student completes their assignments, the platform created with the help of Big Data will be able to determine when they are ready to learn new topics. For example, one university of technology needed to come up with a brand new mathematics class as students had to prepare for the exam for an entire year. After using additional courses on the platform, about half of the students could pass the exam at least one month earlier. It’s an impressive result, isn’t it?
Choosing the Future Career
More and more educational establishments are starting to use technology, producing huge data traffic. Some universities in South Carolina have a new career program that interviews people over 25. Data analysis allows participants to choose an education and career that best matches their experience and personal qualities. The program provides predictive analysis and helps participants make career choices: the service explores the student’s character traits, learning success, and previous work experience. Applicants apply to the most suitable universities. It is also beneficial for employers: they get specialists who are already prepared for work.
Big Data is Critical to the Future of Education
The educational industry is responding to new changes in big data. Big data is helping personalize the learning experience and ensure more students complete their degrees, which is helping students and educational institutions alike.
