Post by account_disabled on Jan 8, 2024 5:21:32 GMT
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
The ultimate goal of universities and colleges is to see students graduate with relevant Phone Number 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 were saved from failing – 98% of the contacted students obtained a C grade or better. Through Project Student Success, the college has already assisted 34,712 students. “We had the largest percentage drop in bad grades (Ds and Fs) that the college had recorded in fifty years,” said Lige Hensley,
The ultimate goal of universities and colleges is to see students graduate with relevant Phone Number 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 were saved from failing – 98% of the contacted students obtained a C grade or better. Through Project Student Success, the college has already assisted 34,712 students. “We had the largest percentage drop in bad grades (Ds and Fs) that the college had recorded in fifty years,” said Lige Hensley,
