AI-driven decision support system
Location
Poster #24
Department
Computer Science
Abstract
The project's primary objective is to offer support to individuals, particularly those underserved in STEM fields at community colleges, facilitating their transition to universities and the job market through an AI-driven decision-making system. This system is designed to accurately assess their readiness for completing a bachelor's program and achieving success in their career endeavors. The focus lies in developing an application utilizing predictive models. The study seeks to develop a comprehensive application employing predictive models and a curated dataset to identify pivotal factors and themes influencing students' transfer decisions, while also analyzing their success rates through various trained models. Furthermore, sentiment analysis will be employed to delve deeper into the emotional context underlying these decisions.
Faculty Sponsor
Xiwei Wang
AI-driven decision support system
Poster #24
The project's primary objective is to offer support to individuals, particularly those underserved in STEM fields at community colleges, facilitating their transition to universities and the job market through an AI-driven decision-making system. This system is designed to accurately assess their readiness for completing a bachelor's program and achieving success in their career endeavors. The focus lies in developing an application utilizing predictive models. The study seeks to develop a comprehensive application employing predictive models and a curated dataset to identify pivotal factors and themes influencing students' transfer decisions, while also analyzing their success rates through various trained models. Furthermore, sentiment analysis will be employed to delve deeper into the emotional context underlying these decisions.