PapagAI:Automated Feedback for Reflective Essays
Not on the map. Why?
Abstract (arXiv)
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.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 6 of its 38 references that are in the map. First posted on arXiv 10 Jul 2023.
Builds on
6 of 38 references.
References · 6
- 2020Language Models are Few-Shot Learnerscited by 32,419
- 2019RoBERTa: A Robustly Optimized BERT Pretraining Approachcited by 13,372
- 2022Survey of Hallucination in Natural Language Generationcited by 2,075
- 2023SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Modelscited by 810
- 2022BERTopic: Neural topic modeling with a class-based TF-IDF procedurecited by 801
- 2019Towards Multimodal Emotion Recognition in German Speech Events in Cars using Transfer Learningcited by 6
Built on by
Citing papers per year: 2026: 1.
1 paper.