Everything You Need to Know About Analytics in Higher Education

Make your institute’s operations smarter using technological advancements. Improve students’ and teachers’ working experience in the institute and help them focus on better learning outcomes with the help of AI technology.

Data analytics in higher education enables the institute to make informed decisions regarding the institute’s activities based on an analysis of the previous data and experiences of individuals.

Benefits of Data Analytics

Data-Driven Decisions-

The ERP solutions make use of AI technology to seek patterns and behavior of the data. It analyzes the data that is generated from various sources in the institute. The reports help the institute to understand the progress made by them over the specific period.

It also enables them to understand student behavior, take feedback for designing curriculum, implement new teaching-learning approaches and understand progress with different methods of teaching-learning in institutes.

Using an ERP solution enables data-driven decisions avoiding the confusion and indecisiveness among the institute regarding financial and other decisions.

BI Dashboards-

The software generates reports of data collected in the institute and conducts its analysis. It makes use of Business Intelligence tools to give graphical analysis of the data generated in the institute. It involves pie charts, graphs, tables with different colors, and identification to easily understand and compare various aspects of the institute.

The faculty members can check the dashboards for graphical analysis of the software. The system makes real-time changes in the data reports and gives accurate information analysis. Data handling and decision-making becomes easy, efficient, and transparent with the help of BI technology.

Predict and Project Progress-

Using the data analysis reports generated yearly for the past few years can help the faculty to understand the growth rate and success of the students, teachers, and institute in several fields. It includes infrastructure management, student admissions, employment opportunities, and others. It helps the investors to make sound investment decisions for the future.

Easy Data Access-

The online software enables easy data storage, processing, and management under a centralized system used for the generation of analytics reports. The software enables the easy search of the required information, for a particular period and helps to generate customized reports.

How to use Data Analytics tools-

Student Progress-

The data analysis report helps the faculty members to track student progress every year and helps to compare it with different methods of teaching, or the changes made in software based on the data analytics report from the previous year.

It helps the teacher to understand shortcomings faced by the students and enables them to guide the students in that direction. Further, it gives the average performance of the students in every subject helping them to understand the subjects that are difficult for them. It helps the teachers to improve their method of teaching and conducting activities in the classroom.

Capital Investments-

The analytics tools help the investors to understand the progress and returns from various fields and departments in the institute. It also gives a complete idea about the requirements of investments for infrastructure, equipment, management, and others.

The investors can compare the data from previous years and project the growth for the future from the given analysis. It enables them to make smart decisions for the betterment of the institute and students.

Admission Feedback-

It involves the admission experience faced by the students in the institute. This helps the institute to improve the student experience during admission by conducting surveys and taking feedback from them by the end of the admission process.

It further enables the institutes to understand the point at which the students are losing interest in analyzing the data. Also, it gives reports about the time taken for performing a particular task and problems faced by them.

Online Proctoring-

The online examination system records all activities of the students during the exam. It monitors the students in real-time and takes their snapshots at frequent intervals during the exam. The system generates all reports and uses AI technology to conduct data analysis.

It helps institutes to understand student behavior during the exam, see the unusual activities by the students, and improve proctoring of the system. Understanding and learning student behavior helps them conduct accurate proctoring.

In this way, the analytics tools help the institute to improve its performance and understanding of the institute’s functions. It helps them understand student behavior, and parents’ behavior during particular activities and aims to improve the user experience in the software. It further helps to improve students’ performance and learning outcomes of the institute.

Conclusion-

There are several systems offering analytics tools such as student information system, admission management systems, and others. They aim towards improving the system’s performance and helping teachers and faculty members manage their workload. The system is highly accurate and gets better at collecting data regularly.