Role of data analytics in educational industry

Role of data analytics in educational industry

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  ROLE OF DATAANALYTICS IN EDUCATIONAL INDUSTRY
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  INTRODUCTION • Right fromthe outset a lot a data was collected by the educational institutions. Beyond having a report on school profile, most schools don’t make use of their wealth of information. There is an increase in colleges debt because Colleges are spending too much on improving infrastructure in order to attract students. Furthermore, competition among higher education is increasing as respective institution try to reduce dropout rates. • Educational institutions now understands the role Data Analytics. Data analytics in education include every age group, from kindergarten to doctoral level. • With a continuous decrease in profit for educational institution schools need to turn to data analytics to increase profit, reduce dropout rates and have a competitive advantage.
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  HOW CAN ANALYTICSHELP? • Education is relying on Big Data and Data Analytics to bring development and innovation. • Analyzing academic, financial and operational data helps identify specific patterns and trends. This helps in better decision making around forecasting and planning budgeting. • Tracking students performance across cohort, departments and courses. Create clusters based on different characteristics enables targeted strategies for students specific segments. • Analyzing the attendance data and focusing on students.
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  INDIAN CONTEXT • Inthe next five year, India’s digital sector is expect to reach $1 trillion digital economy mark. If so India will see employment generation of 50-75 lakhs jobs and a huge improvement in the economy, which is currently thriving on the growing use of the internet, smart phones, and digital identification. • For years now, schools have functioned with two pre set goals in mind: 1) To customize learning experiences for each individual based on their ability. 2) To personalize instructions. To achieve this goal, schools needs more data that can predict a students ability in certain task. That’s when big data and analytics come into play.
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  DATA ANALYTICS INEDUCATIONAL INDUSTRY
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  • Personalized tuitionor education: In Schools data analytics is used to create tuition systems that suit an individual’s unique need. It is set up to meet the students educational requirement and capability which increase student retention and graduation. Standard measurement: Data analytics give real information on how well the institution is performing against other Universities.
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  • Performance Management: Management teamof educational institutions can easily measure their actual performance against their mission. They can also use data analytics to monitor students and teachers activities which show a great deal of information about places students as well as staff spend most of their time. • Evaluating Research Performance: Data analytics monitor and give information on research performance and monitors the number of likes and shares of research papers.
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  • Discover BestPractices and Monitor Students: Digital software track on how a student answers every test question. The methods that brilliant students use in responding correctly can be taught to other less performing students. This gives low performing students insight on the best practices to getting higher grades. • Craft Better Curriculum: Data approach offers better curriculum and used digital resources that are taught in their fields and boost students understanding. Digital lessons test students and ensure they actually learn and provide feedback to both student and teacher.
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  • Career Prediction:Data analytics gives educational institutions deep insights on the performance of the students. It also identify students who have higher chances of succeeding or failing. • Boosting Participatory Teaching: Data analytics systems can know and track the level of understanding of everyone in the group.