Today everyone is concern to know what is Big Data? as Big Data has changed the way the world used to look at the information. With so much information being generated every second, data scientists are always on their toes to use it to their benefit. Apart from corporates analyzing this data to enhance their business decisions, Big Data is also utilized in the education sector.
Modern institutions use their student data to understand the educational experience of students. This, in turn, helps teachers to educate students better. Big Data is also used for modifying the education system so that students are offered a wholesome learning plan.
In this article, we will take a closer look at the Big Data applications in education.
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Big Data Applications in Education
As companies handle a lot of data related to their employees, finances, partner corporations and customers, educational institutions also have to deal with student data. As thousands of students enrol in several institutes every year in a variety of courses, a humungous amount of data is generated. The student data consists of course details, enrollment year, student ID, exam grades and marks obtained in individual subjects.
Analyzing this data can be extremely beneficial for nurturing their careers. Let us now understand the Big Data applications in education.
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1. Enhancing Student Results
The most common methods of analyzing a student’s performance are by their grades obtained in exams, projects and assignments. But all these grades can be accumulated to observe a unique data trail left by the student throughout their lives.
Analyzing these data trails will help educators to understand the behaviour and performance of students. With Big Data, it is possible to monitor their actions, such as:
- Response time for exam questions
- Sources they choose to educate themselves
- Questions they skip
- Questions they have answered successfully
The real-time analysis will help in providing students with much more enhanced feedback on their performance. The feedback can significantly improve results. This is because students will be able to understand the areas they have aced and where they lag behind.
2. A better Grading System
Big Data helps educators to track the performance of students. The analysis helps in understanding the performance of an individual and a collective level. The statistical analysis of individual grades will help educators to understand the areas of interest among students. The grading system can be enhanced to highlight the key areas where the student has excelled.
This system will also allow teachers to give valuable feedback to students and assist them in choosing the right career path. For example, Ashford School in the U.K. has implemented big data tools, such as Socrative, Nearpod and Classroom Monitor for analyzing their students. These applications help them to observe the performance and behaviour of students in real-time.
The institute has been able to enhance their students’ performances and provide better learning solutions to them.
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3. Gaining Attention
Yes, you read that right! One of the most interesting and useful Big Data applications in education is the process of gaining a student’s attention. No matter how interesting the lecture is, there will always be some inattentive students who are busy looking at their phones or at others. But a lecture can only be effective if everyone paid attention.
Big Data experts have planned to use biometric data of students, such as heart rate, facial expressions and objects they touch during the lecture. This information can be captured via a camera on the ceiling or a device resembling a smartwatch. This data can be used for analyzing how attentive each student is.
After sending the data back to the teacher, he or she can take the necessary steps to regain the students’ attention.
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4. Customized Programs
Educators can create customized programs for students based on their grades and after understanding their attention span. Also, students can be offered blended learning that includes opportunities for offline and online learning. Through customized programs, students can access the study material online along with lectures. They can study at their own pace.
These modern programs will also let students seek guidance from their professors. This form of blended learning is offered around the world through MOOCs. For example, the Machine Learning class at Stanford taught by Andrew Ng was attended by approximately 400 students. But when this class was offered online on Coursera, more than 100,000 students participated.
As a result, more students gained the concepts and found the study material useful, which was not the case for the Standard offline class.
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5. Reducing The Number of Dropouts
Big Data applications in education also include curbing the number of students who drop out of schools and colleges. Big Data can be used for performing predictive analysis for understanding how students might perform in the near future. This analysis will look at the performance of students throughout the year, and predict if they might drop out.
Such an analysis will also help the institute authorities to execute a scenario analysis on a particular course before it is introduced. This will vastly help teachers to guide their students towards the course that will suit them the best.
Big Data is so powerful that it is also being used for analyzing how students will perform after college or university – when they are employed in a firm.
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Big Data applications in education have revolutionized the sector. Educational institutes are using Big Data to screen applicants, deciding who will be a good fit for the institute and the ones who might not make it. This has helped institutes all over the world to reduce the time spent on the selection process. Big Data is also being used while recruiting teachers.
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