3 Importance of ‘Big Data’ in Education


Education is important in the development of the society and individuals, with a booming economy needing a knowledgeable workforce having skills to start and build businesses; individuals have to keep up with the ever-evolving cutting edge education and skill-acquisition.

Individuals that have not kept up with the ever-evolving cutting edge education and skill-acquisition are stuck with information and certificates that are no longer relevant.

Here are three importances of big data is changing education.

Creating personalized the learning process.

Without personalization, much of big data would be a hump of meaningless 0 and 1. With big data, one can keep tabs on various subject activities thus making it easy to draw inferences from this behavior.

This can be used to create custom lessons for each student, which is flexible along with a host of other options.

Learning processes that are personalized are much more effective than those set at a preset pace. That effectiveness is further enhanced by the ability to easily stay in touch with teachers and fellow students via forums and even social media, depending on the platform. Unsurprisingly, being able to ask questions and get answers almost instantaneously helps students learn better.

Instant students’ performance appraisal.

In all educational programs, it’s essential to measure student performance. Even in ungraded courses, being able to monitor how well students are doing in various aspects will help improve the course over time.

Traditionally, that has not been the easiest thing to do, especially with large classes. At best, the pass/fail rate only offers a small part of the story.

With internet-based learning, course designers can keep an eye on data points such as how long students take to answer each question in a test and how many times they return to view a particular text or video.

Those data points give a more comprehensive picture and make it easy to tweak specific parts of the course accurately. For instance, if a large proportion of students had to go over a material multiple times, making it more explanatory would likely help future students understand it better.

It increases a student’s participation.

Generally, there has been a decline of interest in undertaking formal education, since surveys have shown that degrees simply aren’t the guarantees to a better future that they once were.

With big data and the ability to customize the content and timelines of courses to suit one’s needs, more students can join MOOCs and distance-learning courses.

This democratization of education has an immense impact across multiple sectors. First, individuals who could ordinarily not be able to attain education in specific fields can do so without the tremendous financial and time burden of traditional education.

Besides, economies also benefit from the education revolutions since they get a highly educated workforce in essential sectors.

Big data may not be available to all education institution but with the accumulation of students’ information, an institution can be able to extract trends over time and grow new curricula that add value to the learners.


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Written by Steith


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