News

Vortrag von: Mai Anh Selina Vu
Titel: Integrating Large Language Models into Intelligent Tutoring Systems for Basic Arithmetic to Generate Text Exercises and Tailored Feedback
Zeit: 11.06.2025 - 16:00 - 17:00
Ort: WE5/05.013 und Teams
Abstract:

This thesis investigates the integration of large language models (LLMs) into intelligent tutoring systems (ITS), with the goal of generating diverse and pedagogically meaningful subtraction-based text exercises for primary school students. Building on the existing ITS Subkraki – which previously relied on static, template-based exercises – the project introduces a dynamic content generation approach supported by a locally hosted LLM. Following a requirements-driven planning phase, the prototyping stage revealed key challenges, including long generation times and inconsistencies in the generated output, especially when using mid-sized models due to hardware constraints. To address these limitations, the system architecture was extended with a validation layer in form of an additional educator-facing frontend. This allows educators to generate, manually add, review, and correct exercises before they are made available to students, ensuring quality and reliability. The final implementation was evaluated against the previously defined requirements. Although the fully automated generation of consistently correct exercises that meet all set criteria is not yet feasible, the results demonstrate that LLMs can significantly enhance educational tools when combined with a human-in-the-loop workflow. Overall, the thesis provides a scalable and adaptable architecture that addresses the research question of how LLMs can be utilized to generate text exercises for ITS, while also managing challenges related to exercise difficulty, analogy selection, and prompt design within the constraints of the local deployment.

Microsoft Teams Benötigen Sie Hilfe?

Jetzt an der Besprechung teilnehmen

Besprechungs-ID: 379 093 638 480

Kennung: jS3Mf7xf