Universities Leveraging

AI to Drive Student Success ArticlesDigital Management and Leadership Written by Clodagh O’Brien Artificial intelligence (AI) has been around for decades, but the technology has evolved dramatically to disrupt industries - including the education sector - and AI in digital marketing is now a given. The use of AI in higher education is now a reality, and even a necessity, as it will transform the ways institutions teach and how students learn. In fact, an IDC report found that 99 percent of U.S. higher education institutions believe AI will be key to driving competitiveness in the next few years. While there are huge opportunities to use AI to improve efficiencies and drive student success, there’s a flip side to the technology. It also poses new academic, ethical, and legal challenges that need to be considered.



So, how are third-level institutions using AI to rise above the competition and leverage it to drive student success? WhatsApp Number In this blog, we’ll look at 5 great ways (plus real-life examples) to help you understand the potential of the technology to: Assess and Predict Student Success Drive Personalized Learning Boost Student Engagement Answer Student Inquiries Improve Student Retention Assess & Predict Student Success The ultimate goal of universities and colleges is to see students graduate with relevant skills that make them employable.





That’s why being able to assess and predict the success of a student is so important. If a student is struggling or falling behind, technology that can help to intervene at an early stage can change the outcome for that person and also reduce the number of non-graduates at an institution. 1) Ivy Tech Community College: Project Student Success In Indiana, Ivy Tech Community College conducted a pilot study using AI to get data from 10,000-course sections. By identifying 16,000 students at risk of failing in the first two weeks of the semester, the college assigned outreach workers to call each student and offer support.