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Why Is Data-Driven Learning Imperative for Higher Education?

Leaders of educational institutions must make real-time decisions affecting the entire school as pandemic scenarios evolve. Data sources that are not integrated make it impossible for educational institutions to react quickly, much less forecast when one change affects another part of the organization. Data-driven learning helps analyze key performance indicators and provides a comprehensive assessment of the institution’s status.

Analyzing real-time data is one method of accelerating the time to gather insights. Data-driven learning is revolutionary because it improves products and services and better serves consumers and markets. The information helps enhance goods and services, shapes demands for new growth models, and fosters a data-driven culture. This article on LinkedIn by Anna Kourouniotis discusses how data visualization and analytics can propel higher education.

Data-Driven Learning

The practice of examining raw data to identify trends and provide answers to queries is referred to as data analytics. Among many more variations, analytics can be descriptive, diagnostic, predictive, or prescriptive. Decision makers may eventually understand some of the most complex ideas, spot patterns, and even make projections with a combination of analytics and visualization. Therefore educational institutions must comprehend their data before sharing any visualizations or reports with people to make well-informed decisions.

How Data-Driven Institutions Will Thrive

Tableau defines data culture as “the collective behaviors and beliefs of people who value, practice, and encourage the use of data to improve decision-making.”

There is a lot of data available, and that much is certain. Globally, a wealth of information is available about students, teachers, courses, and facilities, to name a few. According to a 2018 study conducted by NASPA-Student Affairs for Institutional Research, only 31% of institutions consistently gather, integrate, and use their student information systems.

Furthermore, the author speaks about data analytics, the importance of analytics in higher education, and applications used for visualizations.

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