# Automated Feedback for Students' Argumentative Essays ### Contact Thorben Jansen, IPN Kiel\ Nils-Jonathan Schaller, IPN Kiel ### Description We are a research project investigating how automated feedback and text assessment can promote students' written argumentation. The project aims to develop and evaluate a digital learning tool for students and teachers. Students will receive automated feedback on their writing and teachers will get an overview of the strengths and weaknesses in their students' written argumentations.\ We developed argumentation tasks on controversial, socially relevant, real-world problems informed by science (socio-scientific issues), which are situated in the context of climate change. As the basis of our machine learning model, we ask 1500 secondary school students to complete the tasks. Two specially trained raters will rate each argument's content and structure in every text in the resulting corpus. ### Dataset 100 annotated texts and annotation guidelines ### How you can contribute We have two goals that we would like to work on with you: first, creating annotation guidelines and training annotators. Second, the partial automation of annotations through zero-shot classifications by use of prompt design. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://opencampus.gitbook.io/coding-waterkant/projects/automated-feedback-for-students-argumentative-essays.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.