A dynamic Erasmus+ learning experience in Münster: artificial intelligence in everyday office life
From February 22–28, Dr. Laima Skauronė, Head of the Administration Group at Vytautas Magnus University Agriculture Academy (VMU AA), and Dr. Monika Medikienė, International Coordinator at VMU AA, participated in an Erasmus+ training visit at the European Institute for Academic and Professional Development (EIAPD) in Münster, Germany. Both representatives actively engaged in the training course titled “Artificial Intelligence (AI) in Everyday Office Life,” led by dr. Jan Schmidt, an AI professional with extensive experience in academic training and professional development. During the training, participants acquired a comprehensive and practical understanding of how AI transforms modern workplace processes.
The training course was meticulously designed to introduce participants to both foundational AI concepts and advanced applications in office environments. The structured sessions combined theoretical discussions with interactive, practical exercises, ensuring a well-rounded learning experience.
One of the key takeaways was the emphasis on learning new AI-related vocabulary, which set the stage for understanding complex concepts such as machine learning, neural networks, generative models, and large language models (LLMs). By defining these terms early in the program, we were able to engage with the material more effectively throughout the course.
A significant portion of the training focused on Generative AI, particularly text-to-text and text-to-image models. We explored how large language models (LLMs) function by predicting the likelihood of word sequences, ultimately enabling coherent and contextually relevant text generation. Similarly, text-to-image models leverage probabilistic algorithms to create high-quality visuals based on user prompts.
We discussed the evolution of LLMs, from early, rigid models to modern reasoning-based AI systems, which incorporate logical assessment before generating responses. This capability is crucial for ensuring accuracy and reducing AI-generated “hallucinations.”
AI Tools and Office Applications
One of the most exciting course components was an in-depth analysis of AI tools and their applications for automating office tasks. Various categories of AI tools were introduced and practically explored:
- Multifunctional LLMs: Tools like ChatGPT (GPT-4, GPT-o1, GPT-o3 mini), Google Gemini, and Qwen 2.5 offer comprehensive text and image generation functionalities.
- Basic Chatbots: AI models like Claude, LeChat, and DeepSeek provide efficient conversational interfaces with privacy-focused features.
- Reasoning Models: AI tools designed for logic-based problem-solving, including ChatGPT-o1 and DeepSeek r.1.
- Research-Oriented Models: Platforms such as Perplexity and Storm.ai, which enhance information retrieval and knowledge synthesis.
- Text-to-Image and Text-to-Video Tools: DALL-E, Midjourney, Imagine (Google’s tool), Sora, and Qwen 2.5.
- AI-integrated Office Solutions: Microsoft Copilot and Canva AI, which seamlessly integrate generative AI into productivity software.
These tools are reshaping workflows by automating repetitive tasks, enhancing decision-making, and improving content creation across various industries.
Mastering AI Prompting Techniques
Another core aspect of the training was AI prompting, which is essential for optimizing AI-generated responses. We practiced different prompting techniques, including:
- Zero-shot, one-shot, and few-shot prompting – guiding AI with varying levels of example-based learning.
- Chain-of-thought prompting – encouraging step-by-step reasoning in AI responses.
- Instruction-based prompting – refining AI outputs through structured and precise instructions.
- Role-prompting – directing AI to adopt specific personas for tailored outputs.
- Meta-prompting – using AI to generate better AI prompts, enhancing efficiency and accuracy.
Understanding these techniques was invaluable in improving the accuracy, coherence, and usability of AI-generated content.
Challenges and Ethical Considerations
While AI provides remarkable benefits, the course also addressed its limitations and ethical challenges. Concerns such as bias in AI models, data privacy, and over-reliance on automation were discussed. Dr. Schmidt emphasized the importance of critically evaluating AI outputs to avoid misinformation and ethical pitfalls. This balanced approach reinforced the need for human oversight in AI applications.
Key Takeaways and Future Perspectives
The training experience was highly enriching and practical, equipping us with the knowledge and skills to integrate AI efficiently into office environments. As AI continues to evolve, professionals across various fields must adapt to emerging technologies to enhance productivity and decision-making processes.
One of the most valuable aspects of this Erasmus+ experience was the diverse perspectives of participants from various EU countries. Engaging in discussions, sharing insights, and collaborating on AI-related tasks fostered an interdisciplinary learning environment that extended beyond the classroom.
The “AI in Everyday Office Life” course was a transformative experience, shedding light on the numerous possibilities AI presents for office professionals. By understanding and applying AI strategically, organizations can streamline operations, enhance communication, and foster innovation.
Laima Skauronė and Monika Medikienė expressed their satisfaction with deepening their AI knowledge and their enthusiasm for applying it to future academic and professional projects. The Erasmus+ training visit to Münster reaffirmed that continuous learning is essential in the digital age.
Despite an intensive training schedule, participants also enjoyed discovering the charming city of Münster and its rich German cultural history. After training sessions, they explored the cozy old town, visited the city park by Lake Aa, St. Paul’s Cathedral, several impressive churches, the Bible Museum, and Münster University, located in a historic castle. The ongoing carnival celebrations, with vibrant masks and festivities, provided a unique and memorable atmosphere, allowing participants to experience authentic German traditions and spirit firsthand. This opportunity offered a deeper understanding of local history and integration into Münster’s cultural traditions.
