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Artificial intelligence has been a hot topic for years now. While many people may disagree on its definition, its potential is undeniable. In fact, many industries and sectors have incorporated AI in different ways. For instance, this technology has turned out to be rather beneficial in higher education.
The following article will discuss the ways in which artificial intelligence is being implemented in various applications and programs, thus making the students' and teachers' lives easier.
AI has been around for quite some time. After years of pondering its concept and potential uses, people in higher education began understanding how it could improve and streamline various processes — from answering basic campus-related questions to providing students with academic support.
Thanks to machine learning innovation, AI platforms can now go through vast amounts of data, uncovering hidden patterns and creating a series of the best possible actions and solutions in the meantime. With these data sets, AI can impact various sectors in higher education. Ultimately, this will lead to the development of the cognitive campus, where higher ed institutions will develop customized services.
What's more, artificial intelligence has a chance to reduce costs and create a more efficient administration. Students, teachers, and administrative staff will gain access to a personalized and streamlined experience through various AI-powered campus apps.
Below, you can read more about the best uses of AI in higher education.
The recruiting, administration and enrollment processes can be grueling for both students and the staff. Thankfully schools, particularly those in higher education, rely on AI-supported algorithms to promote their programs to prospective students.
Moreover, unique algorithms could predict which applicants are most likely to be accepted or calculate the percentage of expected graduates. By automating administrative activities and launching dedicated apps, universities and colleges could create a customizable experience for students and facilitate enrollment, course registration, financial aid allocation, and so on.
Student support is one of the AI applications that's been growing in popularity. Various schools launch machine learning-powered apps that help students schedule their courses, recommend curricula, or offer advice on majors or career paths — activities previously done by guidance counselors.
One of the most important roles of AI in terms of student support is the so-called early warning. By analyzing various data (non-academic, academic, or operational), the algorithm can predict if a student might fail a class, drop out, or have mental health issues. Going through GPA or attendance details, the software can distinguish students who are at risk, notifying the staff and helping them take necessary action.
Last but not least, educational institutions apply AI in the instructions they give. Machine learning is often used in content creation, helping teachers create and organize lecture notes or videos, books, and assessments.
Personalized learning is also a popular concept that relies heavily on artificial intelligence algorithms. Teachers can quickly determine the right learning path for each student, recommend specific subjects or materials that might appeal to the individual, and so on. AI will increase the learners' interest by choosing the right content containing these elements.
The elements we've covered are just the tip of the iceberg. In fact, AI in education has immense potential, and we're only starting to realize it.
