Transforming Engineering Education with Multimodal GenAI

Transforming Engineering Education with Multimodal GenAI and Intelligent Agents

This funded project explores the revolutionary potential of multimodal generative artificial intelligence and intelligent agents in engineering education, with a specific focus on improving students’ problem-solving capabilities.

Project Overview

The Fourth Industrial Revolution has introduced sophisticated AI technologies that are transforming how we approach education. This research project investigates how multimodal generative AI can be integrated into engineering curricula to create more engaging, personalized, and effective learning experiences.

Key Research Areas

Multimodal Learning Environments

• Integration of visual, auditory, textual, and kinesthetic learning modalities
• Development of AI systems that can process and generate content across multiple formats
• Adaptive interfaces that respond to different learning styles and preferences

Intelligent Tutoring Systems

• AI agents that provide personalized guidance and feedback
• Real-time assessment of student comprehension and problem-solving approaches
• Automated generation of practice problems tailored to individual skill levels

Problem-Solving Enhancement

• AI-powered tools that help students break down complex engineering problems
• Interactive simulations and virtual laboratories
• Collaborative problem-solving platforms with AI facilitation

Research Methodology

The project employs a mixed-methods approach combining:

• Quantitative Analysis: Measuring learning outcomes, engagement metrics, and problem-solving performance
• Qualitative Research: Student interviews, classroom observations, and instructor feedback
• Design-Based Research: Iterative development and testing of AI-powered educational tools
• Ethical AI Assessment: Ensuring responsible implementation of AI in educational settings

Expected Outcomes

For Students:

• Enhanced problem-solving skills through AI-guided practice
• Personalized learning experiences adapted to individual needs
• Improved engagement and motivation in engineering coursework
• Better preparation for Industry 4.0 workplace demands

For Educators:

• AI-assisted curriculum development tools
• Automated assessment and feedback systems
• Data-driven insights into student learning patterns
• Professional development in AI-enhanced pedagogy

For Institutions:

• Framework for integrating multimodal AI into engineering programs
• Best practices for responsible AI implementation in education
• Evidence-based guidelines for AI tool selection and deployment

Funding and Collaboration

This project is funded by Digital Futures, a cross-disciplinary research center established by KTH Royal Institute of Technology, Stockholm University, and RISE Research Institutes of Sweden. The initiative brings together experts in artificial intelligence, educational technology, and engineering pedagogy to address critical challenges in STEM education.

Broader Impact

The research contributes to the global conversation about the future of education in the digital age, addressing critical questions about how AI can enhance rather than replace human learning and teaching. By focusing on multimodal approaches, the project recognizes that effective learning involves multiple senses and cognitive processes, paving the way for more inclusive and accessible educational experiences.

The work also aligns with efforts to address workforce development challenges in an increasingly AI-driven economy, ensuring that engineering graduates are well-prepared for careers that will require collaboration with intelligent systems and continuous learning in rapidly evolving technological landscapes.