EngE-AI: A Gen-AI App for Fostering Critical Thinking in Engineering Education

TitleEngE-AI: A Gen-AI App for Fostering Critical Thinking in Engineering Education
Faculty/College/UnitApplied Science
StatusActive
Duration2 Year
Initiation04/01/2025
Project Summary

*Special Call: GenAI Collaborative Cluster Grants*

This project aims to develop a generative artificial intelligence tool, called EngE-AI, designed to address key teaching and learning needs in engineering education. EngE-AI can be customized for any course and offers two main features: virtual tutor guiding students through critical thinking elements based on Facione’s model and Socratic approach; virtual educational assistant generating context-rich real-world troubleshooting scenarios for instructors.

For educators, EngE-AI saves tremendous time by automating the creation of non-conventional problems in addition to supporting the explicit teaching of critical thinking. For students, it provides access to a virtual tutor available anytime-anywhere, and scaffolded development of critical and global (as opposed to sequential) thinking skills as well as additional real-world practice problems. 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 including critical-thinking.

Funding Details
Year 1: Project TitleEngE-AI: A GenAI-augmented Tool to Enhance Engineering Education in Cultivating Critical Thinking
Year 1: Project YearYear 1
Year 1: Funding Year2025/2026
Year 1: Project TypeLarge TLEF
Year 1: Principal InvestigatorAlireza Bagherzadeh
Year 1: Funded Amount87,198
Year 1: Team Members

Alireza Bagherzadeh, Assistant Professor of Teaching, Chemical and Biological Engineering (CHBE), Faculty of Applied Science
Sergio Berretta, Adjunct Teaching Professor, CHBE, Faculty of Applied Science
Pranav Chintalapati, Assistant Professor of Teaching, CHBE, Faculty of Applied Science
Amir M. Dehkhoda, Assistant Professor of Teaching, Materials Engineering, Faculty of Applied Science
Naoko Ellis, Professor, CHBE, Faculty of Applied Science
Gabriel Potvin, Associate Professor of Teaching, CHBE, Faculty of Applied Science
Jonathan Verrett, Associate Professor of Teaching, CHBE, Faculty of Applied Science

Year 2: Project YearYear 2
Year 2: Funding Year2026/2027
Year 2: Project TypeLarge TLEF
Year 2: Principal InvestigatorAlireza Bagherzadeh
Year 2: Funded Amount94,122
Year 2: Team Members

Alireza Bagherzadeh, Assistant Professor of Teaching, CHBE, Faculty of Applied Science
Amir M. Dehkhoda, Assistant Professor of Teaching, Materials Engineering, Faculty of Applied Science
Pranav Chintalapati, Assistant Professor of Teaching, CHBE, Faculty of Applied Science
Sergio Berretta, Adjunct Teaching Professor, CHBE, Faculty of Applied Science
Naoko Ellis, Professor, CHBE, Faculty of Applied Science