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Universities counting on big data to change the future of job industry

Wednesday, November 28, 2018

In an era that is driven by data, not only the top players of all industries but also, small and mid-size businesses are betting their money on hiring talents with a knowledge of big data and analytics. Dr. Amit K. Sinha, Director, Kirloskar Institute of Advanced Management Studies, Pune, writes more.

The field of big data and analytics has been evolving constantly and has made way for new technologies. In an era that is driven by data, not only the top players of all industries but also, small and mid-size businesses are betting their money on hiring talents with a knowledge of big data and analytics. In the last few years, there has been a significant hike in the global job portals due to big data related job postings.

An ongoing challenge for today’s educators is to impart a quality learning experience to students. It is also essential for them to keep the tuition fee affordable. As Institutional expenditures are always on the rise, the colleges and universities are looking for ways to be fiscally feasible. At the same time, they also strive to provide the students with a positive experience, from enrollment to beyond graduation. The usage of right data,in the correct way, can prove to be of help to these institutions and educators to meet the needs of the ongoing challenge.

The consolidation of information is done by data analysis. It provides the entire essence of trends and patterns in the higher education industry which can be used for various purposes such as:

  • Evaluate & streamline processes
  • Creation of efficiencies
  • Improve the students’ overall experience

Where to start?
Students:

The primary step for institutions is the production/ creation of data-savvy students. It means students should be able to work with analytics. It also means courses on data and analytics have to be woven into the curriculum.

Training:
Information analysis training is important for those who administer education. It helps to gather and interpret educational data which can be used:

  • To improve higher learning management
  • For techniques of teaching
  • For the learning environment
  • For the learning tools

The Need for Data Analysis
Trends and Insights:

As way back as the 1950s, trends were uncovered with the help of data analysis. They also offered helpful insights which enabled to facilitate management and decision-making.

Educational Information:
The three common data analysis processes which are useful in the domain of higher learning are:

1. EDM- Educational Data Mining
It can sift through large quantities of complicated data related to education. This helps the administrators and educators to discover problem revealing patterns which are related to grade calculations of the students, taking online tests, and to predict student enrollment rates.

2. LA- Learning Analytics
It can gather useful insights and feedback from systems of the administration, online educational environment and social media. This helps to discover flaws in the learning procedures and processes that need to be addressed.

3    Academic Analytics
Problems can be detected by looking at educational data with the use of academic analytics. It can also suggest ways to solve issues such as success rates of the students which can be improved with more human resources.

Academic and learning analytics can be used to help students by providing information to educators regarding the improvement of retention rate and student outcomes.

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