| Title | EngE-AI: A GenAI-augmented Tool to Enhance Engineering Education in Cultivating Critical Thinking |
|---|---|
| Faculty/College/Unit | Applied Science |
| Status | Active |
| Duration | 2 Year |
| Initiation | 04/01/2025 |
| Project Summary | *Special Call: GenAI Collaborative Cluster Grants* This project develops a generative artificial intelligence tool, called EngE-AI, which is designed to address key teaching and learning needs in engineering education. EngE-AI can be customized for any course and offers three main features: generating context-rich real-world troubleshooting scenarios, guiding students through critical thinking based on Facione’s model via text-based interactions, and acting as a virtual tutor. For educators, EngE-AI saves tremendous time by automating the creation of effective questions in addition to supporting the explicit teaching of critical thinking. For students, it provides access to additional real-world practice problems, a virtual tutor available anytime-anywhere, and scaffolded development of critical and global (as opposed to sequential) thinking skills. EngE-AI aims to modernize engineering education by significantly improving teaching efficiency, providing context-rich real-world problems, as well as enhancing student learning outcomes, fostering higher-order cognitive skills such as critical-thinking. |
| Funding Details | |
| Year 1: Project Year | Year 1 |
| Year 1: Funding Year | 2025/2026 |
| Year 1: Project Type | Large TLEF |
| Year 1: Principal Investigator | Alireza Bagherzadeh |
| Year 1: Funded Amount | 87,198 |
| Year 1: Team Members | Alireza Bagherzadeh, Assistant Professor of Teaching, Chemical and Biological Engineering (CHBE), Faculty of Applied Science |