45. Which of the following is NOT a cause to an increase in otter numbers?


(A) Their listing as a protected species.

(B) An improvement in river water quality.

(C) The removal of dangerous roads near rivers.

(D) The banning of a particular kind of pesticide.

10

In an era in which digital transformation is often associated with depersonalization, the integration of artificial intelligence (AI) agents into higher education presents a paradox: technology designed to streamline processes is also making student support feel more personal. Although students are generally capable, they often find themselves in a vulnerable transitional stage, lacking either the language to clearly articulate their needs or the foresight to seek assistance before problems escalate. Traditionally, bridging this gap has relied on human judgment—the ability of advisors to interpret subtle cues and read between the lines. However, as enrolment numbers increase and administrative demands intensify, the capacity for such individualized attention has become increasingly limited.

AI agents are reshaping this landscape by taking on much of the routine administrative workload. By automating repetitive inquiries and initial eligibility checks, these systems help ensure that student interest is not lost due to delayed responses. Rather than functioning as simple chatbots, more advanced systems can assess student needs in context, engaging through multiple communication channels to better understand academic goals and financial constraints. Importantly, this technological layer does not replace human involvement; instead, it preserves it. By handling routine matters, AI enables human advisors to focus their attention on situations that require empathy, discretion, or more complex problem-solving.

This shift is increasingly supported by evidence. Institutions that have adopted AI tools report noticeable increases in enrolment, in some cases ranging from 20 to 30 percent. Beyond recruitment, AI systems also play a growing role in student retention. By continuously monitoring engagement data, they can identify early signs of academic difficulty. Instead of waiting for students to disengage or fail, institutions can intervene earlier with timely and non-intrusive support, such as suggestions for tutoring services. This approach helps reduce the psychological barriers that often prevent students from seeking help, particularly concerns about embarrassment or perceived stigma.

Ultimately, the aim of integrating AI into education is to create a more seamless learning environment, from initial inquiry through to graduation. By reducing administrative friction—whether through reminders about tuition deadlines or assistance with citation formatting—AI allows students to focus more fully on learning and educators to concentrate on teaching and mentorship. In this sense, AI should not be understood as a replacement for human connection, but rather as an enabling infrastructure that makes sustained human support more feasible at scale.

11