Why Data Is Important In Student Education

When information started to run the world, collecting, analyzing and interpreting data became essential for a student to be successful. STEM (Science, Technology, Engineering and Math) subjects cannot function without data. This is how we learn and prove things. That is why data plays an important role in STEM education. What is more, there is a peculiar recent trend in hiring specialists. Lots of employers require Big Data skills for job candidates to have. How can we avoid it in education process?

Nowadays, we have a possibility to process and get Big Data within several clicks. There are computer programs and apps to monitor attendance and students progress. We can analyze the overall class progress via smartphones. The Big Data we get can truly improve the quality of education and help understand its complexity.

How to improve education with Big Data?

Today, we can collect, analyze, store and interpret Big Data to improve the learning and teaching process. Examining day-to-day attendance or students’ performance, we can study and make predictions about education trends. This is how we can avoid the same mistakes and come up with new solutions to the existing education struggles.

In higher education, Big Data is a good way to monitor the learning progress. A professor can easily notice a slip in attendance and take action as fast as he can. Moreover, in some classes you can create heat map of students’ current involvement in homework. This is how the academia can monitor the time students are likely to use for studying and use this information to enhance a learning process.

As a matter of fact, analyzing Big Data can help change the way we see curriculum success and the way we measure it. In other words, statistics can truly help to make great changes in education process to make it more successful.

Is Small Data important in education?

While Big Data helps create the picture of education success and results, it fails to show the needs and incentives of an individual. As it has been already mentioned, Big Data focuses on statistics, rather than what lies under it. That is why Small Data can help to analyze students’ emotions, feelings and thoughts that have an impact on education.

Let us imagine a situation: a professor can collect the data that 80% of his students successfully passed the test. However, he does not know whether the information was crammed or understood. Big Data cannot allow us to see whether students understand the importance of a subject they study. Finally, Big Data cannot help us analyze the way students feel about deadlines, loads of assignment and pressure those put on them. This is when Small Data plays a significant role in education.

Small Data allows us to see the impact education has on students. We can understand the learning process from the students’ perspective. Small data can help us find out the struggles the learners are dealing with and ideas they have towards changing the education process. By doing so, we can discover what are the main motives for them to study. Thus, we can use this information and encourage learners in future.

Both Big Data and Small Data are now highly important for education to become better. Educators want to be able to picture an overall situation and analyze each student individually. This approach is a key to success. Thanks to modern technologies, we have a unique opportunity to use Data to improve education and prepare students to succeed.