Artificial Intelligence Opportunities for Universities

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Not every university is quick to adopt new technology. Most of them blame it on their budgets, but those that benefit from up-to-date tech know the benefits of updating it. The issue of AI in universities is controversial because some educators think it could replace them in a few years. At the moment, there are three levels of AI. Weak, Strong, and Super AI. Weak AI focuses on one task and has limited capabilities, while the strong version will learn any intellectual task that humans can handle. The Super option overtakes the human mind, and researchers are still working on it. This way, teachers do not need to worry about being replaced – at least for now.

Making AI Relevant to Education

The efforts made to provide AI for college students are mainly left to the developers as opposed to collaborating with educators. They interact with syllabuses and know how the tools to be developed would benefit a student best. Having free material online such a good artificial intelligence college essay could help people see the clearer picture and know how beneficial AI is to education. Computer scientists and data experts can only learn so much, but reading an essay about artificial intelligence in school could improve their understanding of how best to develop the tools students want. That and working with educators.
A vast body of experts needs to be included to get the most out of AI for students. We are talking anthropologists, social informatics, psychologists, lawyers, economic experts, sociologists, and experts from all other areas to aptly provide content to be included in the material that will benefit every school.

How Universities are Utilizing AI

Here are ways schools are using this technology.

Gauging Applicants’ Interest

Before a person applies to a school, they do their research. Universities are going ahead if applicants use algorithms to see how often potential applicants check into their sites, make inquiries, and how fast they respond to mail. Before you even get to class or start your degree, they know whether or not you will be studying with them.

Analyzing Strengths

There are tools today that institutions will use to help a student know the career suited for them. Traditionally, students rely on counselors to show them the way when they are unsure of their career paths, but these tools make their analysis using historical data and other strengths that a student shows to guide them where they belong.

Checking the Financial and Mental Status

This part is quite insightful as it shows a student’s status in areas that may force them to drop out of school. Through analysis done using algorithms, institutions of higher learning can tell when a student is struggling financially or about to drop out due to financial constraints. They respond by proposing an economic boost to get them to the end of the semester. The same goes for mental health, where the lesson is drawn from a summary of the student’s data.
Are there risks to having all this data online? Tech captures our information from what we do online, so it is possible to reduce what you share. However, not all tech is risky, so it helps decide when to share your personal data. If AI will help diagnose when you are mentally and financially distressed and offer a solution, then it wouldn’t be such a bad idea. A writer could write a well-thought-out essay on the benefits of artificial intelligence in reading rooms and universities.


The discussion on AI has generated heat in every field, including education. Walk into the faculty offices, and they could be discussing how it potentially replaces a teacher, and you will understand the lukewarm reaction to discussions involving its evolution. Research hasn’t shown it can do this because we are yet to reach inventions that can entirely surpass human thinking – at least in mass production. So, in the meantime, teachers can refer library material to their students, set, issue, mark an exam, and teach even with tech advancement. They should also be comfortable interacting with the AI already available for higher education.

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Vladimir Parfeniuk | Author
Jack Black

Jack is a seasoned software tester with over 10 years of experience in the industry. He takes pleasure in helping others advance in their careers and enjoys spending his free time with family, playing chess, and reading.

As a software tester, Jack ensures the software is error-free and user-friendly by detecting and reporting issues during the development cycle. His articles in Software Tested reflect his knowledge of the critical role software testing plays in the software development process.

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