AISSA uses LLMs to analyze student slides against teacher rubrics and deliver quantitative scores plus qualitative feedback via dashboards, with a 46-student pilot indicating technical reliability and perceived usefulness for slide improvement.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cs.HC 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
AICoFe deploys a multi-LLM pipeline with teacher-in-the-loop curation and hybrid database storage to improve the quality of student-generated peer feedback in higher education.
citing papers explorer
-
AISSA: Implementation and Deployment of an AI-based Student Slides Analysis tool for Academic Presentations
AISSA uses LLMs to analyze student slides against teacher rubrics and deliver quantitative scores plus qualitative feedback via dashboards, with a 46-student pilot indicating technical reliability and perceived usefulness for slide improvement.
-
AICoFe: Implementation and Deployment of an AI-Based Collaborative Feedback System for Higher Education
AICoFe deploys a multi-LLM pipeline with teacher-in-the-loop curation and hybrid database storage to improve the quality of student-generated peer feedback in higher education.