PapagAI:Automated Feedback for Reflective Essays
Veronika Solopova, Adrian Gruszczynski, Eiad Rostom, Fritz Cremer,, Sascha Witte, Chengming Zhang, Fernando Ramos L\'opez Lea Pl\"o{\ss}l,, Florian Hofmann, Ralf Romeike, Michaela Gl\"aser-Zikuda, Christoph, Benzm\"uller, Tim Landgraf

TL;DR
PapagAI is an open-source hybrid AI tool designed to automatically provide feedback on reflective essays, aiming to improve student learning and support teachers by reducing their feedback workload.
Contribution
This paper introduces the first open-source automated feedback system for reflective essays based on didactic theory and hybrid AI, contrasting it with large language models.
Findings
System offers consistent feedback aligned with didactic principles
Compared to large language models, it provides more targeted and didactically sound feedback
Enhances learning outcomes and supports teachers in feedback provision
Abstract
Written reflective practice is a regular exercise pre-service teachers perform during their higher education. Usually, their lecturers are expected to provide individual feedback, which can be a challenging task to perform on a regular basis. In this paper, we present the first open-source automated feedback tool based on didactic theory and implemented as a hybrid AI system. We describe the components and discuss the advantages and disadvantages of our system compared to the state-of-art generative large language models. The main objective of our work is to enable better learning outcomes for students and to complement the teaching activities of lecturers.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsIntelligent Tutoring Systems and Adaptive Learning · Reflective Practices in Education · Topic Modeling
