Slide Deck Q&A Quality Assurance App: A Multi-Stage Pipeline for Pedagogical Question Generation
arXiv:2605.26428v1 Announce Type: new Abstract: Generating high-quality, pedagogically useful questions from lecture slide decks is difficult because important instructional content is distributed across both text and visual elements, and because useful questions must be scaffolded across the flow of a presentation rather than generated slide by slide in isolation. This paper describes Slide Deck Q\&A Quality Assurance (slidesqaqa), a Flask-based software system that extracts text and rendered images from PDF slides and processes them through a four-stage large language model pipeline comprisi
The proliferation of advanced large language models (LLMs) makes sophisticated pedagogical content generation, previously challenging, increasingly feasible.
This development enhances the ability of AI to automate and improve educational content creation, specifically by generating high-quality questions from complex learning materials.
The process of extracting pedagogical value from multi-modal educational resources (like slide decks with text and visuals) becomes more automated and effective through multi-stage AI pipelines.
- · Educational technology platforms
- · Educators and trainers
- · Students
- · AI developers in education
- · Manual question setters
- · Traditional educational content publishers
AI-powered tools will streamline the creation of assessment materials across various educational and corporate training settings.
The quality and accessibility of personalized learning materials could improve significantly, adapting faster to curriculum changes.
This could accelerate the shift towards AI-tutoring and dynamic, adaptive learning paths, potentially redefining the role of human instructors in content creation.
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Read at arXiv cs.CL