BLENDING RESEARCH, ARTIFICIAL INTELLIGENCE, & NEUROSCIENCE: ADVANCING INNOVATION DESIGN (BRAIN-AID)

Abstract

This project presents an AI-enhanced e-learning ecosystem for the course KMF1053 Cognitive Neuroscience, developed to transform student engagement and connect theoretical concepts with real-world applications. Traditional lecture-based approaches often limit active participation and restrict opportunities for students to apply neuroscience knowledge meaningfully. To overcome these challenges, the course integrates AI-driven innovations such as Curipod for interactive lessons with real-time feedback, Wix e-Portfolios with AI-assisted infographic design, AI-powered video platforms (Wave.video, Flexclip, InVideo) for start-up pitching, and AI-enabled reflection analysis. The activities were closely aligned with the course learning outcomes. For CLO2, which emphasizes demonstrating the roles of the brain in relation to human behaviours, perceptions, and higher mental functions, students engaged in Curipod activities that required them to propose neuroscience-based strategies for improving attention while explaining the underlying brain mechanisms. Curipod’s AI clustered responses and provided immediate feedback, enhancing conceptual understanding and fostering deeper engagement. This activity resulted in a 98.67% achievement of CLO2. For CLO3, which focuses on discussing the biological stages and mechanisms of the brain in relation to cognitive functions, students created infographic-based e-Portfolios using Wix AI tools to present neuroscience case studies. They also designed neuroscience-based products and tools, such as neurofeedback applications and cognitive training solutions, and pitched these innovations through AI-generated videos enriched with animation, voiceovers, and professional storytelling. Together, these activities reinforced conceptual understanding (CLO2) while deepening students’ ability to critically discuss brain mechanisms in relation to cognitive functions (CLO3), achieving a 100% attainment of CLO3. The outcomes demonstrate increased engagement, creativity, and critical thinking, alongside stronger digital and AI literacy. Students mastered neuroscience content while cultivating transferable skills in innovation, entrepreneurship, and scientific communication. This initiative highlights the potential of integrating AI-driven platforms into teaching and assessment to create transformative, scalable learning experiences. It also contributes directly to the United Nations Sustainable Development Goals, including SDG 3: Good Health and Well-being, SDG 4: Quality Education, and SDG 9: Industry, Innovation, and Infrastructure. The project exemplifies how AI-enhanced pedagogy can enrich neuroscience education while advancing transformative education goals at both institutional and global levels.