AISSA: Implementation and Deployment of an AI-based Student Slides Analysis tool for Academic Presentations
Providing timely and actionable feedback on oral presentation slides is challenging in higher education, particularly in large classes where teachers cannot realistically deliver detailed formative feedback before students present. This paper introduces AISSA (AI-based Student Slides Analysis tool), a web-based system that combines large language models (LLMs) and Learning Analytics dashboards to support scalable, rubric-based feedback on presentation slides. AISSA allows students to upload their slide decks prior to an oral presentation and automatically receive quantitative scores and qualitative feedback based on teacher-defined evaluation rubrics. The system analyzes both slide-level ...
| Authors | Alvaro Becerra, Diego Gomez, Ruth Cobos |
|---|---|
| Primary category | cs.HC |
| Published | 6 May 2026 |
| Last updated at source | 6 May 2026 |
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