AISSA Demo: AI-based Student Slides Analysis Tool for Automated Grading and Feedback
Human-Computer Interaction
Summary
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Authors
Alvaro Becerra, Diego Gomez, Ruth Cobos, Julian Fierrez
Abstract
We present an AI-based web-oriented tool designed to support formative feedback for oral presentation slides in higher education: AISSA. It allows students to upload their slides before presentation and automatically receive rubric-based quantitative scores and qualitative feedback generated by large language models (LLMs). The tool analyses slide-level features and content using a teacher-defined rubric and delivers feedback through interactive Learning Analytics dashboards. These dashboards enable students to visualize performance indicators, inspect feedback in context, and reflect on strengths and areas for improvement, while teachers can review automated assessments, provide their own evaluations, and monitor student engagement with feedback.