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How some private companies are marketing tech and AI solutions


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How some private companies are marketing tech and AI solutions

Credit: Pixabay/CC0 Public Domain

How do universities and colleges decide who to admit? Given the earnings advantage of a post-secondary degree both

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and
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, this is an important social mobility question.

While the

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from one institution to the next, most focus on education criteria like
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.

However, Canada’s new

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puts increased pressure on ********* institutions to also consider immigration criteria when admitting international undergraduate students.

This is just the latest example of

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on the
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. Yet those who value public higher education need to vigilantly monitor the implications of such shifts.

This includes the expanding role of for-profit educational technology (EdTech) companies in the

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.

Companies marketing application services

Before the cap, international applicants’ immigration-related factors, such as citizenship, were considered indirectly. For example, Canada’s federal

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emphasized the importance of diversifying international student source countries to minimize financial risk.

However, EdTech companies now market services which rank individual applicants’ purported likelihood of study permit approval.

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, several institutions in Ontario use such services.

This challenges the fundamental principles of post-secondary education access and could impact

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.

Tech platforms increasingly influential

I research the

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. Higher education’s strategic international enrollment efforts play a big role in the initial selection process.
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have become
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.

Often referred to as “

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,” these platforms use a range of technologies, sometimes including artificial intelligence, to promise profit—for both themselves and their post-secondary institution clients—by improving international student recruitment and retention.

These platforms are part of a growth in third parties involved in international student recruitment that ********

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.

Admission patterns shifting

Until recently, schools first evaluated international post-secondary applicants’ education credentials to decide whether to issue an acceptance letter. Only after this step, when applying to the federal government for a study permit, were immigration credentials assessed.

In other words, institutions admitted international students, then the federal government admitted them to Canada.

Given

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and the
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, schools issued more and more acceptance letters to international students.

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” growth, especially at colleges, eventually made life difficult for Immigration, Refugees and Citizenship Canada (IRCC), which processed a record
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.

New ‘provincial attestation letter’

In January 2024, the federal government responded by instituting a

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(PAL) system.

Now, most new undergraduate study permit applications (with some

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require not just an admission letter, but also a PAL.

Because provinces get a limited number of PALs to distribute, colleges and universities are, for the first time,

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. Understandably, schools want to convert as many of those letters into fee-paying international students as possible.

Predicting which admitted students will ultimately accept an offer

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before the PAL system. However, since study permit application spots are now limited, an international applicant’s likelihood of receiving study permit approval now matters in a new way. Every admission letter issued to a student whose study permit is refused represents lost revenue.






******** Scholars’ Initiative Canada presents to the House of Commons’ Committee on Citizenship and Immigration about high ********* study visa refusal rates for foreign students from *******.

Ensuring a strong yield is now especially important for

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, particularly those with a record of
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.

Study permits and equity

Getting a study permit is difficult for some students.

Recent approval rates hover

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, with wide (and
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) variances based on
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. In 2021, new study permit applicants from Canada’s top three source countries had very different approval rates:
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.

Some study permit evaluation factors are relatively straightforward, such as whether an international student can

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.

Others are more complex and would never be asked of a domestic student, such as whether an applicant is a “

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” and has
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.

This involves assessing not just individual characteristics but also the “

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” and “
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” of a given country or region.

Predicting study permit approvals

Enter for-profit EdTech companies. According

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, machine learning can help predict how international applicants will be assessed by IRCC.

Schools can then consider these AI predictions before issuing admission letters in their attempt to maximize their PAL allocation.

Both higher education and immigration admission systems involve, by definition, discriminatory selection processes. But

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. Allowing immigration interests—however they are projected or assessed—to so explicitly determine the composition of a school’s student body is potentially problematic.

Under financial pressure to meet recruitment targets, schools may admit international students based not only on education factors, but also the private sector’s interpretation of IRCC priorities.

This will likely exclude some academically talented students from

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, especially those
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and
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.

It threatens the benefits of increased diversity, equity and inclusion and may reduce the diversity within Canada’s

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.

Questions around algorithms, data

The companies seeking to capitalize on higher education’s economic vulnerabilities and long-standing trends of marketing international education as a product are also unlikely to be transparent about their data sources, algorithms and profit models.

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remain opaque, as do subcontractors’ roles and commission structures. Troves of personal data are collected from students.

The use of artificial intelligence is a growing issue in

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generally and
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specifically.

The way forward

All provinces should publicize their institutional PAL allocations, like

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.

IRCC should be transparent about the data it provides to private companies—in part so diversity, equity and inclusion experts can audit its use.

Private companies conducting international student screening on behalf of public schools should be required to disclose more about their algorithms and training data. They should also ensure students truly understand how their personal data is used and shared.

And schools partnering with such companies

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to international applicants which credentials are actually being assessed.

Ultimately, the systemic problem is the under-funding of ********* public higher education—and that, above all,

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.

Provided by
The Conversation


This article is republished from

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under a Creative Commons license. Read the
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.

Citation:
International study cap: How some private companies are marketing tech and AI solutions (2024, May 31)
retrieved 31 May 2024
from

This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no
part may be reproduced without the written permission. The content is provided for information purposes only.







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