Role of Technology in Student Retention – A Quick Discussion

A student rarely decides to leave a school randomly. If schools dig deeper, they will surely find an obvious trail. It always begins somewhere and keeps piling up when it goes unnoticed. The issue may begin with something as simple as low attendance. No one really pays much attention when a student takes leave. However, often that slip gives way to other issues like falling grades or late assignment submissions. When isolated, these events might not look serious. But when they patch together, they present a pattern. And to read this pattern and recognize future risk, you need the help of a smart backend assistant like an AI student information system. 

Every school possesses the data to predict future risks. However, the problem lies in centralization. Schools often don’t use the right technology to connect all the dots and look at the full story. This is where modern AI school management software systems like openSIS come in. Modern student information systems (SIS) are designed to build a robust data infrastructure. The data analytics feature of SIS allows schools to look at in-depth data reports. These AI-powered systems are built to offer better visibility and understanding of what is happening around the school.

Students Leave Clues Behind

Student withdrawal is a process. It leaves a long list of clues. Before withdrawal, a student might display changes in multiple aspects of their educational journey. Even it begins with a simple issue, it might increase to something bigger. The student may show –

• Irregular attendance

• Declining grades

• Incomplete assignments

• Change if interaction

• Change in discipline 

• Frequent course changes

• Low classroom engagement

Neither of these behaviors is serious when isolated. Low attendance is low attendance. It might not mean anything at all. However, low attendance with falling grades makes things worth looking into. Technology helps leaders and administrators to identify patterns through data. 

Retention Is More Than Just Enrollment 

Enrolling a student is important. However, keeping the student engaged throughout the year is more important. The school admission system looks at the applicants. But the retention system looks at the students who are struggling. Retention frequently depends on identifying at-risk students.

Because student retention is closely connected to the student education journey, a smart AI school management software system can help you accumulate all the pieces of student data and store them on one dashboard. It allows authorized people to access information without having to seek anyone’s approval. Centralization makes it easier for educators, school leaders, and administrators to access and use student information to create reports and understand behavioral patterns. 

A teacher may notice a student’s low engagement in their subject. But to call for help, the teacher needs to understand whether the student is behaving the same way in other classes as well. Not engaging in one subject is a normal scenario. But the same behavior in every class shows a pattern of withdrawal. 

Because modern SIS platforms work as centralized data storage points, teachers can look at the student dashboard to get information about their overall school performance.  

Student Data Tries To Tell A Story

Every school sits on an impressive volume of student data. From the moment a student applies, data begins to enter the school system. The problem is not in data accumulation. It is in data usability. Raw data is not detailed insight. You have to process the information, connect it to other aspects of the students’ school life to access the entire picture. 

One spreadsheet can show you that a student’s attendance is declining. Another spreadsheet may show you that the student’s grade is falling. A third spreadsheet may display their lack of participation. 

However, to make a decision about the student or to understand whether they really need assistance, you need to place all these pieces together and compare them side by side. Once you do that, you understand whether a student is heading to become an at-risk student. 

Centralization through an AI student information system is essential because, unless you see all the pieces of information side by side and compare them, you will not be able to read patterns or forecast trends. SIS gives you –

• Data visibility

• Data access

• Data report

SIS makes information easier to view, access, and use for decision-making. 

AI Can Connect The Dots

An AI school management software system can transform student retention. AI can process data quickly and generate detailed reports for the leaders to use. Depending on your choice of features, SIS can –

• Process data

• Compare information 

• Flag unusual changes

• Analyze information

• Automate notification

An institution monitors thousands of students. Such a high volume of data requires smart analytics for accurate processing. AI can keep monitoring indicators without human interference. It not only saves time, but also allows administrators, educators, and leaders to make decisions in time. 

Lastly,

Schools need a smart system that can provide accurate insight. One more spreadsheet will only complicate the monitoring process. An AI school management software system can provide the required insight and make the task of monitoring easier.