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Entries by Roman Rietsche

The advantages of user-centred prompt engineering for companies

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Prompt engineering plays a vital role in the quality of large language models’ output. The Human AI Learning Systems (HAIS) Lab at BFH has created a structured process that brings user-centred design principles to AI application development. This article presents the method, its application, and the potential of large language models for use that is […]

DigiBot: A personalized generative AI tool for assessing digital competences through self-assessment

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Two students at Bern University of Applied Sciences created DigiBot, an AI chatbot converting the EU’s standardized digital skills test (DigComp) into personalized questions. Their thesis explored whether AI-tailored tests improved engagement and understanding, revealing key insights into both opportunities and challenges of AI personalization. The Challenge: Making standardized self-assessment tests more accessible Standardized tests […]