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ArgueNiser – Organise your Arguments
Train argumentation structures individually with artificial intelligence
What do I start with, how do I create a thread through my argumentation and which elements should not be missing from a good answer text for this question?
Getting from a good answer in your head to a good answer on paper is oftentimes hard. Especially with very open questions, it can be difficult to structure one's thoughts and ideas and to build up arguments in a meaningful way.
This is where ArgueNiser can provide professional support for students of law or economics. Instead of a single box for entering an answer, students find various text input boxes for their answer to an open question according to the writing and argumentation requirements of their discipline. This provides them with argumentative structure that includes all the building blocks for a organised and complete response. Students are asked to enter the appropriate response elements for each of these argumentation building blocks. After submitting the entries, students receive individual AI-based feedback for each of the elements. In this way, they not only internalise the argumentation structure relevant to their discipline. They can also identify their own strengths and weaknesses and train them specifically.
ArgueNiser is thus primarily intended for students in the first semesters to learn the respective writing and argumentation skills that are particularly important for later academic success in their subject.
ArgueNiser can be integrated interactively into lectures in the lecture hall as well as used for individual learning or working on homework at home. The online tool is integrated into the audience response system classEx. A computer or mobile device (smartphone, tablet) is required to work with ArguNiser.
Jura ArgueNiser
Learning the "Gutachtenstil" can be difficult for law students, especially in the first semesters. This is where the Jura ArgueNiser comes in: The AI-based application describes a brief set of facts, which students are then asked to solve. Subdivided into the four steps of the "Gutachtenstil" – premise, definition, subsumption and result – there are four text fields for entering the corresponding answers.
Students then receive individual AI-based feedback for each of the elements. This way, they learn the argumentation structure which is important for jurisprudence.
Would you like to try out the Jura ArgueNiser? Then you can do so here.
Annotation Parser Tool
The Annotation Parser Tool, provided by the Data Science team, automates the extraction of annotated structured data from complex legal documents in .docx format, particularly suitable for annotations in Gutachtenstil with detailed classes and properties. This tool effectively identifies and represents hierarchical relationships within anntotations, making it useful for documents with complex legal arguments. It uses robust parsing techniques for accurate and efficient extraction. The extracted annotations are conveniently available for download in JSON and CSV formats.
Interested? Then you can test a demo version of the Annotation Parser Tool here!
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