|
Post by account_disabled on Nov 26, 2023 0:08:13 GMT -5
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? 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 Cell Phone Numbers List 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. By the end of the semester, 3,000 students – 98% of the contacted students obtained a C grade or better. Through Project Student Success, the
|
|