PapagAI: Automated Feedback for Reflective Essays

Veronika Solopova, Adrian Gruszczynski, Eiad Rostom, Fritz Cremer, Sascha Witte, Chengming Zhang, Fernando Ramos L'opez Lea Plossl, Florian Hofmann, R. Romeike, Michaela Glaser-Zikuda, C. Benzmuller, Tim Landgraf
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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.
PapagAI:反思性论文的自动反馈
书面反思练习是职前教师在接受高等教育期间进行的常规练习。通常,他们的讲师被期望提供个人反馈,这可能是一个具有挑战性的任务,定期执行。在本文中,我们提出了第一个基于教学理论的开源自动反馈工具,并作为混合人工智能系统实现。我们描述了组件,并讨论了与最先进的生成大型语言模型相比,我们的系统的优点和缺点。我们工作的主要目标是为学生提供更好的学习成果,并补充讲师的教学活动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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