The results were impressive as the chatbot manage to communicate with 4,609 students and show proficiency by answering over 38,708 questions correctly more than 91 percent of the time. Keep in mind that this was before the widespread adoption of ChatGPT, so we can only see these metrics improve. Using Lola not only provide the university with a way to help students outside of standard office hours but it allowe staff to free up the time they usually spent responding to queries to do other tasks. Improve Student Retention The retention rate for public, four-year higher eucation institutions is 76%, according to the National Student Clearinghouse.
Campus and academic programs.
That means approximately 1 in 4 students left their university or college to study elsewhere — or nowhere at all. The solution? Improve your targeting so that the resources and energy to keep students can be put towards those most likely to enroll. AI-powere technology is proving to be valuable in this capacity.
8) Nova Southeastern University: Aible Nova new database Southeastern University in Florida had valuable data in-house but wasn’t sure how to use it properly to improve student retention or optimize student welfare. With that in mind, it reache out to Aible, an AI technology that uses models and prescribe interventions. Using the software, the university identifie the students who were most likely to leave so it could target and prioritize its efforts for the most at-risk students. Nova Southeastern University using Aible Nova Southeastern University using Aible As a result of using Aible, Nova Southeastern University achieve a 17 percent reuction in student
To creating and even deploying a predictive model.
Attrition in just 15 days. “During a one-hour meeting, we went from a raw dataset to exploring insights in the data automatically highlighte by Aible, The collaboration with academic and financial aid advisors helpe us further optimize the models and made them SMS List more useful.” – Don Rudawsky, VP of Institutional Effectiveness at Nova Southeastern University. What are the Challenges of using AI in higher eucation? As we mentione at the start of this article, while artificial intelligence can offer huge opportunities for universities and colleges, it can also pose challenges. Some of those include a bias in AI models due to biase data, lack of personalization, the potential for errors, plagiarism and a fear of job losses for faculty. So, when using AI, it’s important for institutions