Computational Support for Learning Argumentative Writing in Digital School Education

Overview

Objective

The focus of the interdisciplinary DFG project between German language didactics and computational linguistics is the development of algorithmic methods for the automatic analysis of argumentative learner texts. The goal is to develop computer-based developmental and learner-sensitive feedback on the structure of argumentative learner texts.

The following research questions will be addressed: 1) How can the structure of argumentative learner texts be identified? (Text mining), 2) How can the competence level of the text be assessed? 3) How can developmental and learner-sensitive feedback be generated?

Key Facts

Keywords:
NLP, KI, automated feedback
Research profile area:
Transformation and Education
Topics:
Digitalization, Research, Key research areas, Digital Humanities, Transformation and Education
Project type:
Research
Project duration:
01/2022 - 12/2024
Contribution to sustainability:
Quality Education
Funded by:
DFG
Website:
Homepage

More Information

Principal Investigators

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Prof. Dr. Sara Rezat

Germanistische Sprachdidaktik

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Henning Wachsmuth

Universität Hannover

Project Team

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Nadine Michel

Germanistische Sprachdidaktik

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Rabia Karabey

Germanistische Sprachdidaktik

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Dr. Sebastian Kilsbach

Germanistische Sprachdidaktik

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