As per the most recent report, 853 colleges received applications from 1,106,777 unique applicants through January 17, 2022, an increase of 13.2% over 2019–20 (977,914).
Looking at these figures, it can be concluded that you have a sizable applicant pool, though not all of them will be fit for your institute as per your set standards. It is very important to look for quality admissions rather than drooling over quantity!
Quality admissions make sure the institution can draw in and enrol top-notch students who can meet the academic requirements of the institution. This is crucial because the calibre of the student body can have a big impact on the institution’s overall intellectual and academic climate.
Quality admissions also guarantee that a diverse and inclusive student body will continue to exist. This can be done by taking into account a number of factors like academic ability, extracurricular accomplishments, and diverse backgrounds.
But how will you sort these quality applications among this sizable pool of applicants?
Either you or your team can spend hours on Excel sheets going through thousands of applications and supporting materials like transcripts, test results, essays, and letters of recommendation.
Or you can leave everything up to technology. Let’s now examine how automation can make shortlisting simple for you.
There are a number of technologies that universities can use to automate the process of short-listing candidates for admission.
But first, you need to remove all the junk leads so that you can focus on quality leads. Through a robust education CRM, you can do this automatically by:
Still, if you are confused if you need a CRM or not then read our blog on 7 signs why you need an education CRM for your institute.
After performing this top-of-the-funnel verification, you now focus on shortlisting quality candidates for your institute.
Some of the ways listed below can assist you in completing this task with minimal manual effort.
An AMS, or Application Management System, is software designed to speed up and automate the process of looking over and assessing applications from potential students.
An AMS can help universities shortlist candidates in a number of ways:
Data analytics is the process of examining data sets in order to find trends and draw conclusions about the information they contain, whereas artificial intelligence (AI) makes it possible for machines to learn from experience, adjust to new inputs, and perform human-like tasks. Both are useful tools for universities in the process of shortlisting candidates for admission.
Here are a few ways that data analytics and artificial intelligence can help with admissions:
In conclusion, automating the process of shortlisting candidates for admission can be a valuable tool for institutions, helping them to more efficiently and effectively review and evaluate a large number of applications. Technologies such as application management systems (AMS), data analytics tools, artificial intelligence (AI) systems, and machine learning algorithms can be used to automate and streamline various aspects of the admissions process, including the collection and organization of application materials, the evaluation of applicants based on specific criteria, and the prediction of success for individual applicants.
Automation can also help reduce the potential for human biases or subjectivity to influence admissions decisions, ensuring that admissions decisions are based on objective criteria rather than subjective opinions or prejudices. Ultimately, automation can help universities more effectively identify and shortlist the most qualified candidates for further consideration.