The rise of EdTech is destined to transform our economic landscape.

Education has always been vital to both society and the individual. On only one hand, a healthy economy requires a skilled workforce capable of starting and growing firms. Individuals with career goals, on the other hand, will always strive to stay on the cutting edge of skills and education acquisition.

Unfortunately, the education industry has frequently been reluctant to adapt, leaving students with outdated information and certifications. That notion fueled the growth of EdTech in all of its manifestations, and it is now driving the adoption of modern data technology to fine-tune the educational process. Here are a few examples of how big data is influencing schooling.

1. It’s personalizing the learning process.

Big data and personalization have always gone together. The ability to track myriad aspects of a subject’s activities makes it easy to draw inferences from their behavior. Those inferences are then used to create custom learning pathways for every student, allowing them to select the modules they want to take, how long they want to spend in each lecture, and even when they are ready to take tests, along with a multitude of other options.

Unfortunately, the education industry has sometimes been reluctant to adapt, leaving students with outdated information and certifications. That notion fueled the growth of EdTech in its different manifestations, and it is now driving the adoption of modern data technology to fine-tune the overall educational process. Here are some of the ways big data is influencing education.

Related: 8 Ways EdTech Startups Are Setting Classroom Innovation Trends

2. It aids in the evaluation of student performance.

Student performance should be measured in all educational programs. Even with ungraded classes, knowing how well students perform in various elements will help the course develop over time. That was not always the simplest thing to do, especially with large courses. At best, the pass/fail rate tells only a portion of the picture.

Course designers can monitor data points, including how long pupils take to solve the questions in an exam and how many times they return to see a specific text or video when using internet-based learning. For example, if a substantial number of students had to go over a material several times, making it more informative would likely assist future students in grasping it better.

3. It boosts participation.

In general, there’s been a fall in interest in pursuing formal education since studies have revealed that degrees are no longer the assurances of a positive tomorrow that they once were. With big data and the capacity to tailor course content and schedules to individual requirements, more students are enrolling in MOOCs and way away from courses.

This democratization of schooling is having a massive impact in a variety of sectors. First, persons who would not otherwise be able to obtain education in specialized disciplines can now do so without the enormous cost and time load that traditional school entails. Furthermore, the EdTech revolution benefits economies by providing a highly skilled population in critical areas.

For its sentient character and importance to society, education technology will be a major boundary of big information, machine learning, and AI. Entrepreneurs in the field will also have a tremendously influential and profitable experience as long as they can create inventive solutions to concerns such as scalability and storage arrays, privacy, and data security.