Abstract
The Generative AI Applied to Student Guide (GAISG) project reimagines UCT’s “Science is Tough: But So Are You” student guide as an interactive, multimodal learning platform. Traditional PDF-based guides often fail to engage students, limiting accessibility and long-term impact. GAISG integrates generative AI to deliver personalized podcasts, lecture-style videos, and AI-driven summaries that adapt content to individual learning preferences.
Built with large language models and text-to-speech systems, the platform enhances comprehension while maintaining accuracy through moderated generation using the GAIDE framework. Engagement will be evaluated using the Situational Interest Survey for Multimedia (SIS-M), comparing responses between the original and AI-enhanced versions.
The project aims to demonstrate how generative AI can improve accessibility, engagement, and cultural relatability in academic support materials, providing a scalable model for modernizing student learning resources.
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GAISG Demonstration of all 3 generative-ai systems
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GAISG Demonstration of all 3 generative-ai systems
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