How Is Edtech Leveraging Data Analytics: Evolution And Opportunity

One of the industries that has benefited immensely from data-led insights is education technology. Let’s take a look at how data analytics has supported the development of edtech in India

In today's world, data management and administration have become defining criteria for the success of various organisations, businesses, and industries as a whole.We live in a more sophisticated and advanced world, created by digital data. The sheer amount and variety of data available now is astounding and unparalleled. Data analytics has helped and continues to assist many industries such as retail, banking, apparels, FMCG and many more to identify and understand the right problem statement and comprehend the present configuration of a business or process and give a solid foundation for forecasting future outcomes. They use cloud computing and IoT platforms to collect reams of data from smart sensors, allowing them to find trends that help them improve supply chain management efficiency

One of the industries that has benefited immensely from data led insights is education technology. Let’s take a look at how data analytics has supported the development of ed-tech in India.

The emergence of the COVID-19 pandemic brought in major changes in many industries, one of them being edtech, which has brought about a revolution and made all the difference. According to a 2021 global CIO survey conducted by Gartner for higher education, 86% of CIOs worldwide anticipate continued demand for new digital products and services. The Covid-19 situation has, of course, made digital learning mandatory. Technology rose to the occasion and helped the education sector continue to serve society. What began as a simple offering of online classes to students has swiftly grown into a significant phenomenon. This evolution has been fueled by data analytics, which is now playing a significant role in the industry.

EdTech is a way to create a better teacher-student experience that was previously only available through a conventional education setting. EdTech platforms create educational technology and data-driven apps that allow teachers to create and deliver personalised, interactive, and innovative learning experiences. Learners and educators who are data-savvy are quickly recognising not only the market's value but also the potentials that may be achieved by extracting crucial value from all of the data that is created, recorded, transferred, and processed. According to Data Science Central, since the education system went digital, ed-tech businesses have seen investments of nearly $1.1 billion in 2020 alone, which is almost a 4-fold increase since 2019.

Data analytics and big data's enormous potential are transforming digital education from exclusive to accessible. It enhances quality and overcomes the limitations of prior learning models in terms of time, place, and participation. The affordability and availability of tools such as unlimited internet offerings, mobile phones, and computer devices such as laptops, desktops, and virtual reality headsets eliminates previous issues of cost, accessibility, and geographic location, allowing all age groups to have access to high-quality online academic content.

The role of data analytics in ed-tech

For educators, administration, and management departments, data analytics provides data-driven algorithms and structures to optimise workplace stress management and emotional exhaustion. It offers realistic reports and analysis on student and teacher outcomes; enrollment management; evaluation; online lecture delivery; and dropout reduction, among other areas.

In the education sector, data analytics is a deal breaker. It assists in identifying the appropriate user segment and target audience for those interested in coding as a career. It assists in recommending suitable and applicable content to students so that they can enjoy, learn, and progress through their levels. Data analytics also allows students to make a customised choice based on their difficulty level, preferred language for learning, and subjects they want to study and understand, as well as identify and address students' challenges.

Along with the aforesaid assistance and support, automated data analysis captures student-specific inputs and provides a deeper understanding of the whole learning process, similar to automated grading systems, resulting in predictive analysis and pre-smart conclusions. Strategic analysis reduces the amount of time it takes to examine, evaluate, and interpret user data. It allows teachers to identify student's interests and suggest suitable subjects to them. It also helps teachers to track, measure, and respond to their students' specific academic progress prior to final assessment.

Additionally, with the use of audio-visual integration, data also enables interactive and immersed learning. Students can examine live 3D structures of any object and get knowledge about it from many web resources using artificial intelligence. The lessons and assignments are more accurate since data analytics technologies continuously track a student's knowledge level in many ideal areas and provide timely feedback. Data analysis can help learners get better results. Schools and other educational institutions can now retain an unlimited amount of data about their students in databases. This information covers student demographics, academic papers, and personal assessments. Educators can use this information to make forecasting decisions.

Moving forward and further opportunities

The ways in which data analytics is transforming the edtech industry mentioned above are only a few of the many ways big data analytics has aided the EdTech sector's evolution. However, it has revolutionised EdTech in numerous other ways as well. There has been a major investment in data analysis since the onset of the COVID-19 pandemic and the limitation of physical human interaction since technology is particularly successful at electronically gathering, organising, and storing data. The Edtech sector may use effective data analysis to address major commercial, economic, and marketing objectives; optimise IT potential; and remain ahead of legal and regulatory obligations. Data analytics is transforming the Edtech sector's future, allowing all professionals to provide smarter and more effective learning solutions that address students' individual cognitive skills, capabilities, and focus on their holistic educational journey.

(The given article is attributed to Mridul Ranjan Sahu, Co-founder, CuriousJr and has been exclusively created for BW Disrupt website)

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