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Using Academic Analytics to drive decision-making in higher education institutions

11 / 07 / 2017 Reporting Sriram S.

There is a burgeoning interest in higher education institutions to have data-driven analytics solution to elevate decision-making and improve performance. An education management system powered by analytics data offer a goldmine of data that can impact the curriculum design, course delivery, students and the institution's growth. 

How can automation power learning and teaching?

Automating academic processes without human involvement is thought to increase efficiency and reduce staff workload. Online tools for learning and teaching supports personalized and adaptive learning. Education offered by automated tools are flawless, providing consistency and accuracy in results. Evaluation of courses and faculty performance is also accurate, leading to improved course quality and delivery. It is necessary to create a way that gradually evaluates progress in real-time.

Academic Analytics is a must-have tool for institutional success

Although institutions are familiar with software, multimedia or even AR/VR, analytics is much more. Educational data mining, learning analytics and academic analytics provide actionable intelligence for students and faculties in higher education. Analytics provide deep insights about performance and achievements by evaluating the user’s activities and interests.

Technology-enabled transformation

In an educational setting, business intelligence tools are used to measure, collect, and analyse user activity on learning and teaching and their context. Analytics is not just about technology, it’s about wholly redefining who uses data and how. If colleges and universities haven’t used these tools, it’s high time they make a culture shift towards data-driven decisions.  What they need is easy-to-use and customizable cloud-based solution, with actionable intelligence that don’t require complex coding.

Analytics Trends

Gartner says that as analytics has become increasingly strategic to most businesses and central to most business roles, every business is an analytics business, every business process is an analytics process and every person is an analytics user. 

Gartner has forecasted that worldwide BI and Analytics would grow in 2016 by 7.3% from the prior year to reach $ 18.3 Billion market. The analysts forecast further growth of the market to $22.8 billion till the end of 2020.

The modern BI and analytics platform emerged in the last few years to meet new institutional requirements for accessibility, agility and deeper analytical insight.

Data-to-decision framework

The key stakeholders of analytics include Institutional administrators, students, faculty and functional groups who want to take decisions on a wide range of purpose to predict identify students at risk of course failure, customize learning pathways or assessments, enhance instruction methods, visualize data with various dashboards and reports. Academic Analytics will help you map the student’s performance with learning resources, graduate attributes, assessments, learning outcomes through charts and graphs. With academic analytics you are connecting the dots to improve visibility and drive institutional success.

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