For a developing nation like India, extreme focus on its education sector is one of the ways to fast-track its development. In current times, data analytics has been an emerging process in almost all the sectors worldwide, such as corporate services, businesses, the education sector, the public sector, government agencies, etc.
The common factor amongst all these sectors is the availability of huge amounts of data and information acquired and processed over long periods of time.
This data originally remained in an unorganised form with less visibility and uncertainty in its effective usage. However, data analytics has encouraged the successful analysis and depiction of data leading to the optimum usage of resources.
What Is Data Analytics?
It is a process involving the analysis and processing of small or large amounts of complex or varied data by means of scientific or research-based principles, theories or hypothesis.
The data analytics-oriented techniques are extensively used in commercial industries to empower the various organisations or business owners to take better-informed decisions in the interest of the business.
Data And Analytics In The Education Sector In India
Due to data analytics, the growth and development of the worldwide education sector is expected to be enormous. The field of data analytics has huge potential and advantages to offer in education. Over the past many decades, most schools or educational institutions have usually followed the process of education, examination and promotion or demotion of students on a group level basis.
However, if these traditional criteria and standards need to be customised as per needs of each student, then data and analytics may be the most useful tool. The only condition is the availability of sufficient data to analyse patterns or to measure an individual student’s calibre in one or more tasks.
How Does Data Analytics Help Gauge An Individual As A Performer Or A Non-performer?
Data for each student could be accumulated through various channels, such as their overall participation in class, interaction with fellow students or teachers, social interaction, levels of zeal or sobriety, etc.
These activities could be monitored daily or on a regular basis to understand the student’s performance and then be used to strategise ways to improve it by specific operational decisions in the interest of the student’s growth. The acquired data could further help determine the student’s overall performance, academically as well as on extracurricular parameters.
Advantage Of Data And Analytics For Students
• Enhancing Individual Performance: Data and analytics could determine how students fare in the academia or how active they are in cultural or sports-related activities or how good their attendance patterns are. The conclusion drawn through the analysis of such data could eventually help the school predict and capitalise the best performing individuals, both in the academic, sports or arts-related fields.
At the same time, it could help deduce the inconsistency in the performance of average students or those who are below average, and accordingly take the right decision, e.g., to improve their performance by creating a favourable learning environment.
• Reduction In Dropout Students: The overall improved performance of a student would automatically bring about a reduction in the dropout ratio.
• Customisation Of Courses: Data analytics would support in customising various courses for students with reference to their skills or aptitude.
• Recreate Learning Styles: Due to data analytics, students will be able to opt for more and better options for education, and could conveniently manage classroom or e-learning through the Internet.
• Mutual Benefit: Schools or colleges could use data analytics to enrol the batches of students and therefore, plan the arrangement of resources as per findings of the analysis. Similarly, data analytics could help students screen and shortlist colleges that may be the best as per their profile or requirement.
• Global Jobs: The predictive analysis results would highlight the consistent achievers suited and eager for global jobs.
Is India Ready For Data And Analytics?
According to Mr Ravi Shankar Prasad, the current Minister for Electronics and Information Technology (MeitY) in India, we are already on the road to become a big data analytical centre!
India is not only ready, but also well equipped for data and analytics. Most Indian companies have adopted the data analytics technologies and processes to enhance the overall customer satisfaction and operational excellence.
According to Jeff Olson, Head of Big Data and Analytics, Oracle APAC, “India is the leader in Science, Technology, Engineering and Mathematics (STEM) education; so the companies are well prepared with the staff and the kind of talent needed to leverage Big Data and Analytics. There are a lot of opportunities that the country still needs to explore to make value out of Big Data!”
According to a survey, around 42-43% businesses in India have successfully implemented Cloud strategies, and many other Indian firms with around 65-70% of their applications on Cloud are already outperforming their global competitors.
India is trying her best to stay in pace with many developed nations in the area of data analytics. Substantial usage of data analytics in India in the recent past and present situation has ensured its potential to categorically change the employment, technology, business and revenue status.
With the growth and development of both private and public sectors with the help of data analytics, India is assuredly moving fast towards becoming a data analytical leader.