Use of Large Language Models for automated evaluation and support in the digital modeling tool KEA-Mod
- Type:Bachelor / Master
- Date:ab sofort
- Supervisor:
Further information
Background
Modelling tools are becoming increasingly important in the context of software development or the digitalization and automation of business processes, for example. In the BMBF-funded project KEA-Mod, a digital modeling tool was developed as a web application in which evaluation services for the automated evaluation of student models, e.g. from exercises or exams, can be integrated. Modeling languages from the areas of software development and databases (UML, ER) and from the area of business process management (BPMN, Petri nets, EPK) are currently supported. Large Language Models (LLMs) offer great potential to be used profitably in automated assessment by providing students with feedback on their models generated by LLMs.
Task definition
The aim of the project is to investigate various possibilities for integrating LLM technologies into the KEA-Mod modeling platform and to develop a prototype implementation.
Possible focal points:
- How can student models be analyzed and evaluated with regard to the task using an LLM? How can, for example, syntactic correctness, content consistency (semantics) and pragmatic aspects (clear layout design) be taken into account according to the teacher's specifications?
- How can an LLM-based chatbot support students directly during the creation of models? How much information can a chatbot give students to support the learning process?
Students can also contribute their own ideas on the topic in consultation with the supervisors.