Conference Session

Computing and Information Technology Division (CIT) Technical Session 7

Collection

2025 ASEE Annual Conference & Exposition

Authors

Yu-Zheng Lin, The University of Arizona; Karan Patel, The University of Arizona; Ahmed H Alhamadah, The University of Arizona; Sujan Ghimire, The University of Arizona; Jesus Pacheco; Banafsheh Saber Latibari, The University of Arizona; Soheil Salehi, The University of Arizona; Pratik Satam, University of Arizona

Tagged Topics

Diversity

Tagged Divisions

Computing and Information Technology Division (CIT)

Figure 2, an interactive framework to provide gamified virtual reality(VR) based cybersecurity training that personalizes the coursework through sentiment analysisand generative AI, to ensure meeting of the course’s learning outcomes while improving studentretention through bolstering their engineering identity and sense of belonging.The main contributions of this paper are as follows: • Multi-Fidelity Digital Twin Education Reference Model: We propose a multi-fidelity digital twin and generative AI reference model for education. This model defines a multi-fidelity digital twin and combined it with Bloom’s Taxonomy and Kirkpatrick model to provide a reference for digital twin applications on different education needs and