3 ways how Data Analytics Mould the Edtech Industry
The term ‘edtech’ is a portmanteau, derived by combining the words education and technology. As the world is changing and the concept of static is no more valued highly, edtech has come forth to aid students and employees learn so as to broaden their horizons via the amalgamated use of computer programs, the educational system and computers.
For a long time now, technology has been used for educational purposes. However, with the evolving times, Edtech has crept into our homes. School, colleges, and institutes are no longer a brick-and-mortar concept. You could be riding a bus and learning something or you could be on a vacation in another country and still be gaining information. While the concept of learning using technology is not anything new, it did definitely catch a new wave of progression during the pandemic. After all, it was pretty obvious that the world would not halt, at least not in the long term. Students who knew better knew they had to keep working towards a bright future and professionals knew that the competition hereon would only increase substantially.
Pandemic’s role as a catalyst in the Edtech industry
The entire world faced a major setback equivalent to many decades due to the pandemic. Every industry and domain that one can think of took a major blow as the world’s economy went into a slump.
Amid all this mayhem, there were still two rays of light that crept through and shone brightly. The domains of education and e-commerce grew like wildflowers and now that the heatwave of COVID-19 has somewhat subdued, these two are still growing exponentially. In 2020, the market size of the global education sector was valued at USD 74.64 billion.
As the world was forced to go into a lockdown with educational institutions, offices, and everything major and minor closing, everyone turned towards the power of the internet. On a worldwide level, more than 1.3 billion learners were affected and that obviously had to be dealt with.
The education sector did a complete one-eighty and went from focusing on student attendance to student attention. Learning took a modern turn with focus being shifted to online classroom from the traditional classroom learning. Online became the new normal and the trend is expected to continue henceforth.
For the field of edtech to keep flourishing, something new and innovative must be added in a timely manner. Since the technology that we have today is extremely high-end and there’s something already out there to help businesses, it is best to make the most of it to be able to gain the most from it. The edtech sector today is being highly pushed by Data Analytics technology and this blog will take you on a journey spanning the top 3 ways how Data Analytics mould the edtech industry.
What is Data Analytics?
Data is no longer a foreign term to people who are running businesses or aspire to run a successful one someday. In fact, data can also no longer be referred to as jargon because anyone who is even remotely familiar with the tech world and how the technology is helpful in business growth must also know about data analytics, even if just the crux.
The art and science of collecting, organizing, and storing data with the purpose of mining beneficial insights from it is Data Analytics. There are dozens and dozens of ways in which Data Analytics is moulding the edtech industry but this blog will cover the top 3 that also act as major branches to many minor ones.
3 ways how data analytics mould the Edtech industry
Locally speaking, India is a country obsessed with marks and results. While a student has many more talents, all of those should come secondary. While we would like to believe that the mentality is somewhat changing, it still holds its ground to a great extent.
However, there is a major aggregate of students who know that they are good at certain subjects and it would be nothing short of a dream come true if they get the right guidance. As a consequence, the growth of the edtech industry has been seen and felt and this sector can be transformed for the better with the aid of Data Analytics. Every little activity leaves a trail of data behind, which can be moulded into something useful and productive. With the help of Data Analytics, you can make the most of this unused, abundant data.
Here is a list of the top 3 ways how Data Analytics mould the edtech industry:
Better Body Language Analysis
For a long time now, verbal communication has been thought to be superior. However, now that the use of body language in everyday life has come into light, why not inculcate that in edtech too?
Non-verbal means of communication is getting a lot of attention lately and studying the body language of students and learners has taken a step forward than what they express with words.
Classroom training gave the trainers or the teachers a bit of an advantage as they had an eye-span of distance from the entire class. Since the online means of education became more prominent, many obstacles have come forth including the trainers not being able to clearly understand the learner’s body language.
However, with the aid of Data Analytics, this problem can be made to take the backseat. Be it a simple head nod or a scratch, effective Data Analytics can be employed to understand what the person is saying without using words.
At Dataeaze Systems, you are bound to find yourself amid a sea of technologies and elevated means to help you crack the code and get the trainer closer to the trainee.
Great Management Insights
Management is the key to everything. Even a hundred great resources could go down the drain if the right management tricks and tips are not applied. To be able to make the most of the data in your hand, you need to aid Data Analytics, which dataeaze systems are providing at its finest.
Every learner has a different story, a distinct way of learning and varied reactions to various methods. To be able to give the trainee the best results as well as to give the trainer the satisfaction of having taught well, it is essential to manage the how’s, when’s, and the what’s.
With Data Analytics, your business growth comes naturally as the raw data is mined to get great management insights. Be it business sales or profit margins, be it concentrated marketing or specified target audience, Data Analytics is the key to all.
Helps Build Statistical Models
Data Analytics play a huge role in finding patterns and making predictions by tapping in the reservoir of raw data. Experts at dataeaze systems collect, process and streamline your data to help you derive results out of it.
Every student has a different level of capacity to learn and is good at something while being average at another thing. With the aid of Data Analytics, you will be able to get all this information and much more to help you build statistical models, which will bring out the best in the student as well as the trainer.
The times of guess-work and hit and trail are gone because with Data Analytics, things are becoming better visibly.
Value of ‘Actionable Insights’
So far, we can confirm that Data Analytics helps in mining data to be able to extract useful information and patterns out of the abundance of raw data. There are two types of insights that are derived by such actions:
- Actionable Insights- Non-Actionable Insights
Half knowledge is more dangerous and that is exactly what should be kept in mind when making use of these derived insights. To be able to get to the root cause of the issue or the bottom line of how to help students learn better, it is necessary to have ‘actionable insights’ in your hands and that is something taken extremely seriously at Dataeaze Systems.
Conclusion
There are various ways in which Data Analytics has come forth as a useful technology. This blog about the 3 ways Data Analytics mould the edtech industry was curated by experts of the field who have witnessed the change that this particular tech has had on the sector so far. The potential that the edtech industry holds can only be complimented by the impact of Data Analytics.
At Dataeaze Systems, you will come face-to-face with experts who will help you grow your business by converting your raw data into something more useful and productive.