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Harnessing Education by Big Data

Harnessing Education by Big Data Abstract

The prospect of “big data” at once suggests expectant views of a data-rich future and concerns about observation that adversely influences our personal and private survives. There is an increasing interest by institutions of higher education to take benefit of Big Data to provide higher quality level of study and outcome. There is a lot of hype about big data in higher education, that colleges and institutes, swamped with information from inheritance systems and incentivized by transformed responsibility pressures, have begun to connection unlike information from across the institutes. If we combines mobile customer technology with Big Data analytics, we can get a mass of new opportunities ranging from new ways of providing education to students with basic provision to new ways of getting students to learn what the faculty needs them to learn. Educational institutions are now illustrating attention in finding methods for making operative learning process, for classifying learner’s Strength and weakness, for outlining academic activities and also for predicting student future performance. Being a chief democracy, India is also trying to join this effective learning era. This paper will describe the needs, opportunities and challenges of implementing big data analytics in the education sector. Keywords: Big data, Data analytics, Data Mining Academic analytics, Education

Introduction

Louis Columbus recently wrote for Forbes, “Key take-aways from the report include the following: Software & computing (18%), financial (11.6%), manufacturing (10.9%) and retail (9.8%) industries have the highest percentage of programmers creating big data and analytics applications today. Additional industries where big data app development is active and growing include entertainment (7.7%), telecommunications (7.5%), utilities & energy (6.6%) and healthcare (4.6%). The following graphic provides an overview of the industries addressed.” Adding to it “Total size of the data being processed (40.8%), complex, unstructured nature of the data (38.1%) and the need for real-time data analysis (17.7%) are the top three factors driving big data adoption over traditional database solutions.’ These and other insights are from the recently published report Big Data and Advanced Analytics Survey 2015, Volume I by Evans Data Corporation.” Big Data in education sector could be influenced to enhance receptive, inspiration, latent, and problem-cracking skill among students. It can also open up a wide collection of possibilities for students and teachers by freeing their attentions, and setting them to do better things – and things that substance – rather than sticking to a standardized process of education. According to Nasscom Data, “There was a lot of hype around big data in higher education in 2015. Colleges and universities, inundated with data from legacy systems and incentivized by renewed accountability pressures, have begun to link disparate information from across the campus.”

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Harnessing Education by Big Data

In July 2012, Yahoo set up a Grid Computing labs at IIT-Madras campus in partnership in the institute to enable researchers to access web-scale data and conduct research on Big Data issues such as search, personalized and digital advertisement.

What is Big Data? Gartner defines Big Data as occurring: When the volume, variety and velocity of data exceeds an organization’s storage or compute capacity for accurate and timely decision making. The reason why big data is a big deal because today we not just have lots of data but we have the technology to aggregate, store & analyze this data. Big data has improved the rate at which the data is captured and analyzed, combined with the reduced cost of data storage the technology is more accessible and affordable than ever before. It represents variety to opportunities to improve business through data driven decisions.

The Bigger and Better Picture Data and analytics gradually are being used by future teachers and institute administrators to include an indication of how the facility of education is going in their regions. In some educational institute, data has been set to utilize for everything from educating classroom cleanliness to planning institute bus routes, when faculty leaders were stimulated to attend classes themselves on how to set insights from data and analytics.

Facts

According to GR&A analysis, India is expected to be in the forefront of Big Data analytics and related IT services, fuelling demand for the data scientist and IT engineers estimated at about 15,000- 20,000 by 2015.

India follow closely behind the US in terms of Big Data talent availability and service provider’s initiatives to build such talent.

India is ahead of most outsourcing destinations like Chain, Poland and Philippines, in terms of talent availability. It also enjoys an early mover advantage from services provider in capitalizing the immense potential arising from Big Data.

- IT organization like EMC, Oracle, IBM, Infosys, etc., are leveraging their academic alliance programmes, with universities in India to introduce courses in various areas of Big Data.

- Further, private IT training institutes like NIIT, Aptech are developing talent through courses specific to Big Data.

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Harnessing Education by Big Data

Talent Availability

Ready to hire talent

Service provider efforts to build such talent

Overall Ranking

US High High High I

India High Medium High II Poland Medium High Medium III

China High Low Low IV

Philippines Low Low Low V

Source: Industry Reporting, CRISIL GR&A analysis.

Revolution in Education India is all set for the Big Data revolution. Furthers, with the forever-cumulative number of apprentices having field expertise in decision disciplines, India is fine-located to address the worldwide demand for Big Data Solutions. With India previously catering the business analytics necessity of worldwide multinationals at the finest possible performance ratio, the country enormous potential to source data scientist for the Big Data industry. Cities such as NCR (Delhi, Noida and Gurgaon), Mumbai, and Bengaluru have arisen as good background in India for worldwide organization to set up their analytics centers of brilliance and they version for more than to-thirds of the analytics experts in India. Further, more than 70 percent of the analytical workforce in India has an enhanced knowledge of 2-10 years, which is a

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Harnessing Education by Big Data

benefit to Big Data analytics. These specialized have the capability to apply advanced analytics and can be skilled internally by society to work on Big Data. The challenge and opportunities for educational sector could be evaluated from the recent Indian Brand Equity Foundation (IBEF) report which indicates that India’s education sector offers a great opportunity with approximately 29% of India’s population being between the age group of 0-14 years. The schooling segment in India is anticipated to be around $144 billion by 2020 from an estimated $95.8 billion in 2015. In 2014, with 29.63 million students and approximately 48,116 colleges and institutions, India’s higher education segment is the largest in the world. It is expected to increase to $37.8 billion by 2020. Considering these findings, it is vital for educational sector to record and track demographics, student educational performance, student attendance, extra co-curricular activities and student placement records data. They also need to closely access the financial planning, faculty data and other operational data. “On the operational front, analytics can provide stimulating insights in any work areas such as faculty attrition, student courses and student inclinations. Data insights into educational performance can act as a strong guide for institutes/colleges to help their students opt for courses in higher education, in turn, aiding them in their opinion to choosing a perfect career path,” says Noshin Kagalwalla, managing director, SAS, India. Institutes with Big Data Institute: Indian Statistical Institute (ISI Pune) Course: Business Analytics & Data Mining Description: Designed to leader business analytics professionals in analyzing great quantities of information to study unidentified interesting outlines through cluster analysis, dependences (association rule mining), and classification of data, storage decision and predictive analytics. Institute: IIM Bengaluru Course: Business Analytics & Intelligence Description: An executive course, BAI requires at least five years of work experience and is suitable for professionals who are already employed in analytics to improve their information as well as for those with an analytical aptitude. Institute: IIM Calcutta Course: Business Analytics in Business Analytics Description: Designed in company with HughesNet Global Education, it is a part-time progression for analysts to grow the skill and capabilities of key analytics methods such as performances and statistics modeling. Institute: IIT Delhi Course: Software Engineering

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Harnessing Education by Big Data

Description: Course study related to data mining, Statistics design of experiment, survey sampling and advance analytics. India Institutes continue to present courses in statistics and data analytics to harvest alumni to meet the requirement lack in the worldwide Big Data market. Current academia initiatives for emerging the talent pool for Big Dara analytics include:

- In November 2011, Hyderabad institute call Indian School of Business (ISB) launched Asia analytics lab for their students, which is a focal point for data analytics initiatives, education, and research and business applications.

- In 2012, Academy of decision science and analytics started offering an e-learning post graduate programme (PGP) course in data analytics in association with Ivony education.

- So many other institutes are there who provides big data analytics in education and gaining student growth.

Future Scope There are incredible growing opportunities for big data and analytic, especially analytics in educational sector. According to research of IDC, the big data and analytics was predicated to be $125 billion worldwide in 2015. And, it grows at compound annual growth rate (CAGR) of 14.5%. Overall, the global smart education and learning market is set to grow from $105.23 billion in 2015 to $446.85 billion in 2020, at a CAGR of 24.4%. Indian service providers are also making large investment and innovation in creating grooming a new breed of talent. Popular example, IBM has partnered with 500 universities in India to help more than 30,000 students develop skill in predictive analytics. India is at an advantage vis-à-vis other geographies, as apart from the ample number of graduates it produces ach year, organizations in India are also making huge investments in breeding and grooming such talent. In India, according to the industry body, the National Association of Software and Services Companies (NASSCOM), analytics market is expected to be more than double to $2.3 billion by the end of 2017-18. Mohana Krishna, Director, Business Process Management (BPM), NASSCOM, says “India is still in early stage of adoption of analytics but the adoption is picking-up and the numbers are likely to go up in future.” According to Gartner, “Educational sectors are 39% planned to invested in big data technology specifically designed to address the big data challenges. “ These and other insights are from the recently published report How Vertical Markets Will Drive Big Data by David Linthicum.”

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Harnessing Education by Big Data

Conclusion Every industry in the world is greatly impacted by this digital revolution. Not only developed nations, developing nations are aligning their strategies to this change. If education process can be transitioned to digital era fully, we can use results of analytics in improving knowledge, skills and power of our youth greatly. Further, India holds advantages due to demographic influences, and that the education sector is producing vast pool of analytics aptitude. Through the proper use of big data analytics the revolutionary development on the education sector could be achieved. Instead of some innate challenges, big data analytics can represents customized learning environments to the learners, can reduce potential dropouts and failure and can develop long term learning plans. All of these are possible through the effective development and use of big data analytics in the educational institutions.

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Harnessing Education by Big Data

Reference

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