AI-Driven Platform for Streamlined Creation of Interactive Simulation Labs in STEM Education

This project aims to develop an interactive platform with AI capabilities to facilitate the creation of complex simulation labs for STEM education. The significance lies in enabling educators to design and deploy interactive lab environments efficiently, enhancing student engagement and understanding in STEM disciplines. The objectives include exploring generative AI models for lab creation, integrating them into the existing simulation engine, and deploying the solution at scale. Methodologies encompass experimentation with various AI algorithms, rigorous testing in simulation environments, and iterative optimization for seamless integration. This research addresses the pressing need for innovative educational tools by leveraging AI-driven automation to streamline lab development processes.

Faculty Supervisor:

Marjan Alavi

Student:

Partner:

LABonWEB

Discipline:

Computer science

Sector:

Education

University:

McMaster University

Program:

Business Strategy Internship

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