How Big Data is Revolutionizing the Education Sector

Education Technology Insights | Wednesday, October 16, 2019

Big data in the education sector offer teachers with unprecedented opportunity to reach out to and teach new people by giving an overview into the learning experience of students and allowing them to determine the state of the education system.

FREMONT, CA: Education is vital for society as well as for people. First of all, a prosperous economy requires a skilled workforce capable of starting and developing businesses. On the other side, people with career ambitions are always keen to remain at the forefront of training and the development of skills.

However, the education sector has also been slow to adapt, leaving students trapped with non-relevant information and certificates. This perspective led to an increase in EdTech in its varied forms and is currently helping to improve the education process by using advanced data technology.

Here are the few ways in which Big Data is changing education:

• Big Data is Personalizing the Learning Process: Big data and personalization go hand in hand. The ability to monitor countless aspects of the actions of a subject enables the drawing of inferences from its behavior. Such assumptions are used to create an individual learning pathway for each participant, so that the modules they want to use can be chosen, how much time they want to spend on each lesson, and even when they are willing to take tests together with several other possibilities. Personalized learning methods are far more successful than those in which people should learn at a predetermined pace. The ability to stay in contact with educators and fellow students quickly in groups and even in social media, depending on the network, enhances this impact further. It is not surprising that it makes the students learn more almost immediately to ask questions and to receive answers.

• Big Data Measures the Student's Performance: It is important to measure student performance in all educational programs. Even in non-graduate courses, it will help students to track the way they do in various areas in the course. This is traditionally not the easiest thing to do, especially with large classes. At best, the rate of failure gives only a small part of the story. Class designers can track data points through Internet-based learning like the length of time students take to answer that question during a test and how many times they return to view a given text or video. Such data points provide an overall picture and make it easy to tweak other parts of the course accurately. When, for example, a large number of students would have to pass a subject many times, it could be better understood by future students.

• It Increases Participation: Overall, the interest in formal education has diminished after polls found that students do not reflect the promise of a better future than before. More students are taking MOOCs and distance-learning lessons with extensive data and the opportunity to tailor the contents and timelines of courses to meet their needs. The democratization of education has a tremendous impact in many ways. First, people who usually cannot get training in specific fields can do so without the huge financial and time burden of traditional education. However, economies profit from the EdTech revolution because they have highly trained workers in critical sectors. EdTech, due to its human face and how important it is for society, will be a considerable boundary between big data, automation, and AI. So long so entrepreneurs can create innovative solutions for the problems of scalability, data storage, privacy, and security of information, they will be able to gain an extremely profitable and successful experience.

• Big Data Helps in Reducing Dropouts: Big data in education will lead to improving student performance, which also decreases dropout rates in schools and colleges. In educational institutions, all of the data collected can be used to provide them with insights into potential student outcomes utilizing predictive analysis. Such forecasts can also lead to scenario analysis on a course plan, which will reduce the need for trial and error before it can be incorporated into the curriculum. Big data can also be used to track how students perform after graduating from college in the employment market. This would also help future students to select the right college and program.

• Big Data can Customize Programs: Special programs can be developed with the help of big data for each student. Although universities and colleges have millions of students, implementation of individual plans for each individual student is possible. This is possible with “blended learning” which is an online and offline learning mix. It offers students opportunities, while still being given offline feedback by teachers, to pursue the lessons in which they are involved and also operate at their own pace. In the case of MOOCs that are produced and supply now worldwide, we already see this happening.


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