PapagAI:Automated Feedback for Reflective Essays
This addresses the problem of time-consuming feedback for lecturers in teacher education, though it appears incremental as it builds on existing AI methods.
The paper tackles the challenge of providing individual feedback on reflective essays for pre-service teachers by presenting PapagAI, the first open-source automated feedback tool based on didactic theory and implemented as a hybrid AI system, comparing it to state-of-the-art generative large language models.
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.