The chatbot with IA for Multiversity students

The chatbot with IA for Multiversity students

By Dr. Kyle Muller

The chatbot made with Openai technology arrives to provide support to students from three Italian digital universities.

Starting from the next school year, the students of the digital universities Pegaso, Mercatorum and San Raffaele Roma will be able to request information on the contents of the courses to an artificial intelligence trained by their professors. The teachers, in fact, have not only provided the data that are now an integral part of the algorithm that guides the chatbot responses, but have also verified the accuracy of the latter. According to the data that emerged from the experimentation phase, the accuracy exceeds 99%.

The chatbot was created with the support of the Bain & Company company by the Multiversity Group, which includes the aforementioned digital universities and different masters. It is based on the artificial generative intelligence technology developed by Openaichatgpt creator, but differs from it in the type of information he can draw on. While Chatgpt has enormous public databases available, the university chatbot will have much less data available, but strictly relevant to the educational path of the students.

School 3.0. Study assistance and support services represent only one of the many tech steps moved by the world of higher education. Sometimes, in spite of himself. If on the one hand many students have begun to present thesis written at least in part by the generative IA, on the other the universities have equipped the software professors, such as turnin and compilatoio, to check if the documents received are the result of a human mind or cybernetics.

Kyle Muller
About the author
Dr. Kyle Muller
Dr. Kyle Mueller is a Research Analyst at the Harris County Juvenile Probation Department in Houston, Texas. He earned his Ph.D. in Criminal Justice from Texas State University in 2019, where his dissertation was supervised by Dr. Scott Bowman. Dr. Mueller's research focuses on juvenile justice policies and evidence-based interventions aimed at reducing recidivism among youth offenders. His work has been instrumental in shaping data-driven strategies within the juvenile justice system, emphasizing rehabilitation and community engagement.
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