AI-supported Automatic Assessment of Engineering Design Education

• In Event: DELT- AI-supported Automatic Assessment of Engineering Design Education

Short Description

This study proposes a Bayesian network model for an AI agent to dynamically and automatically assess students’ engagement with engineering design tasks and to support formative feedback. We built this Bayesian network model using 111 ninth-grade students’ data logged by a design software that students used to solve engineering design challenges. Results showed that this AI agent was competent at assessing a student’s learning by pinpointing students’ strengths and weaknesses for solving engineering design tasks.

Authors

• Contributor: Rui Guo, University of Florida

• Presenter: Wanli Xing, University of Florida