The Covid-19 pandemic has replaced traditional school education with virtual learning. Education is currently being taught to students in traditional and non-traditional ways. This learning style teaches students to use high-end digital devices such as laptops, iPods, and mobile phones.
From tutoring programs to online colleges, online teaching tools are opening up educational niches and may continue for years to come.
While in an educational institution, professors, supervisors, and fellow learners typically leave a humongous amount of data and information behind. This information may be used to provide elevated learning (institutional-wide) and detailed understanding of key academic achievement (personal level growth). Tools like big data have shown to be quite successful in translating data in this situation.
Big data is a term used to describe a large, ever-growing dataset collected by organizations of all kinds.
Various data sources related to education are online courses, educational and learning activities, academic data, and administrative data.
The impact of the Internet of Things (IoT) and other connected devices has significantly increased the number of information companies collect, manage, and analyze. The amount of data generated can reach approximately 3.5 trillion bytes per day.
Big data analysis is highly sophisticated for very large and diverse data sets, including structured, semi-structured, and unstructured data from different sources of various sizes, from terabytes to zettabytes. We have adopted a variety of analysis methods.
The characteristic functions of big data are:
Benefits of big data in school education
The most common way to analyze student grades is the grades received on exams, projects, and assignments. However, you can accumulate all these grades and observe the unique data trails that students have left over their lifetime.
Analyzing these data traces helps educators understand student behavior and performance.
With big data, you can monitor actions such as:
Real-time analysis helps provide better performance feedback to students. Feedback can greatly improve your results. This is so that students can understand what they are good at and what they are behind.
Big data helps educators track student performance. Analysis helps to understand performance at the individual and group level. Statistical analysis of each grade helps educators understand the areas of their students of interest. The scoring system can be extended to highlight important areas of excellence for students.
Regardless of how engaging the subject, there will always be some students checking their phones. Big data makes it possible to track the heartbeat, expressions, and things touched by students while they are listening to the teacher. The attentiveness of students may be examined using this data.
Appropriate resource allocation is important in higher education, and data is the key to efficiency.
Big data provides insights into student occupancy in the classroom. If subject ENG102 has 5 sections and only 2 are full, you can merge the remaining 3 to save resources such as classroom space, teacher time, and energy consumption.
From an infrastructure perspective, cloud-based systems have the potential to reduce data storage costs and free IT departments.
Saving school information in one central location can save you time. This is useful for simple tasks such as getting a single report or an automated annual registration report to measure and compare previous year’s registrations at the same time.
Real-time decisions enable today’s decisions to improve or continue registration consistency.
Big Data is the most in-demand currently. Various educational institutions are looking for ways to utilize Big Data to enhance their operations and attract more students. Big Data can help you keep up with those changes by providing you with actionable insights to better understand your audience.