People produce about 2.5 quintillion data every day. Most of it belongs to tech-savvy internet users, across all industries. including education.
In this industry, an immense amount of data is produced by teaching and learning activities. To be exact, by schools and students and a variety of online course. The question is how to process this amount of data and take advantage of it? Here is the technology.
How is big data transforming the industry? Inosoft shares some of the most common uses of big data in education.
Big data can help all educational institutions, whether school or university, to transform their pedagogical approaches and control education systems. And also, to improve the academic results of the students and the effectiveness of the teachers.
Defining Big Data
Big Data is a technological tool which refers to the process of collection and processing large data sets. Scientists extract, structure and analyze complex data to gain insights that enable industries to predict trends and create new solutions. Why big? Such a quantity of information is too voluminous and complex to be treated by traditional approaches. It is described by the following concepts: volume, velocity, variety, variability and veracity.
The Value of Big Data in Education
Today, academic institutions rely on different technologies to manage their day-to-day operations. For example, Inoxoft’s educational software development services focus on three main directions: e-learning software development, custom LMS development, and school management software development. As for big data, according to statistics, the world Big data education market is expected to reach $57.14 billion by 2030, up from $13.58 billion in 2020. Technology offers educational institutions more opportunities to gather information related to the teaching environment, transform the way they analyze this information and create effective teaching methodologies.
Usually there are three uses of Big data in education: Data analysis, data mining and web dashboards. The knowledge acquired in these areas brings the following advantages. This:
- improves productivity by providing information on best practices and opportunities for improvement.
- analyze the best teaching methods to improve a learner’s ability.
- helps teachers analyze their teaching methodology and make changes based on student needs.
- ensures data-driven decision-making in academic performance and technological efficiency.
- defines the financial planning to optimize the resources of the establishment
With the help of technology, teachers gained access to students’ academic performance and learning patterns. Big data analytics helps educators identify areas where students are struggling, develop personalized learning strategies, and understand individual student needs.
It also creates a more personalized approach to education and maximizes student academic progress. By identifying the reasons students leave college, big data analytics helps administrators develop strategies to improve student retention.
Use of big data in education
So, let us now discover examples of how an academic institution uses Big Data in education.
Measurement of achievements
Today, universities, research institutes, and other educational institutions can be equipped with analytics and statistical information that will benefit their day-to-day operations. Big data can help analyze students’ achievements and provide meaningful insight into their performance and motivation. And also consider the effectiveness of online courses.
Usually, a student’s performance is analyzed by his marks obtained in assignments and exams. With the use of Big Data in education, these notes can be accumulated to provide valuable insights. So, by monitoring simple actions like
- response time to test questions
- additional sources that students use to study
- questions that students skip
- successfully answered questions, etc.
teachers are able to understand student performance more deeply and come up with better solutions.
The insights gained from big data analytics provide important insights that allow institutions to effectively evaluate courses and adjust their programs if necessary. Analytics tools can help create a better learning experience and ensure student exit in future semesters.
Big data makes it possible to define which methodology is the most effective for each student. Thus, it makes the learning process personalized, which helps to improve the student’s skills and communication skills, or to cope with different topics faster.
Using digital solutions to create interactive learning experiences tailored to learners’ needs is now a reality and deserves great attention from educators.
Improved ranking system
As far as educational institutions are concerned, they are constantly confronted with the lack of precision of the grading systems.
Today, there are various apps available in the market that can monitor student performance and behavior in real time. The analysis of Big Data allows teachers to understand performance at the individual and collective level. Thus, the grading system can be improved to highlight the directions where the student is succeeding.
Technologies also help teachers provide more valuable feedback to their students, which can significantly improve the results. And help you make the right career choice.
Reduction of dropouts
The dropout rate in schools and universities is increasing and this is another problem that these institutions are facing. However, the analysis makes it easier to access attendance data, helping to identify students who are likely to fail or drop out of class. Academic institutions are using predictive analytics to notice unusual learning behavior in time and react immediately. Or even define how students will behave in the future. Big data tools can also help monitor the labor market and student performance after graduation.
Big Data technologies allow educational institutions, especially universities predict the demand, the influx of applicants, and more accurately analyze the factors that affect the application process. In this case, institutions can adapt their recruitment strategies accordingly. For example, they can establish new educational directions, temporarily close outdated and unpopular programs to save funds, increase the number of places, manage scholarships, adjust the budget, etc.
The world is changing and every industry is adopting new technologies. Education is no different. The role of big data in this area is growing with the development of the technology itself. More and more educational institutions are using advanced technologies to improve data-driven decisions and improve the quality of the learning process for everyone involved.