How AI is Transforming University Admissions: Stage 2 – Application Review

The review stage is where admissions teams dive deep into an applicant’s academic qualifications, work experience, and test scores. Traditionally, this has been one of the most time-consuming parts of the admissions process.

🪙The Standard Process
Admissions staff manually compare each candidate’s qualifications against program-specific requirements—a labor-intensive task prone to delays and potential oversight.

🖥️How It Can Be Automated
AI accelerates this stage by analyzing applicant data, highlighting those who meet specific criteria, and flagging areas for further review. Automated reports provide admissions teams with insights at a glance, allowing them to focus on strategic decision-making rather than repetitive tasks.

🧠AI Solutions in Action
Turnitin: Ensures academic integrity by detecting plagiarism in submitted materials.
Zotero: Organizes academic references, helping streamline document categorization.

By incorporating AI into the review stage, universities can save time, reduce bias, and focus on identifying candidates who truly fit their programs.

How is your institution leveraging technology for application review? Let’s connect and share ideas!
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