The workshop focuses on the use of artificial intelligence tools in teaching. Participants will explore how AI models and tools such as ChatGPT, Gemini, Copilot, and Canva can support lesson planning, the preparation of educational materials, and work with students. The course will also address the specific needs of students from Generations Z and Alpha, as well as the ethical and practical principles of using AI from the perspectives of teachers, students, and programme administrators.

During the workshop, participants will gain practical knowledge of using AI to find and process sources, summarise content, and prepare transcripts, reports, mind maps, tests, flashcards, and other educational materials. They will also learn how to use AI for editing, paraphrasing, translating, and proofreading texts, as well as formatting citations and bibliographies.

The course also covers the use of AI to create presentations, posters, images, charts, graphs, and interactive visualisations. Participants will learn how to generate and improve code used in data analysis and how to explain complex parts of analyses and programs. The course will present both the capabilities and limitations of these tools, including methods for assessing the quality of their outputs and issues related to identifying AI-generated content.

The course is intended for university teachers, researchers, doctoral students, and others who prepare classes or educational materials. It will be particularly useful for those who wish to plan their teaching more efficiently, create engaging materials, explain complex topics more clearly, and use AI tools responsibly when working with students.

Upon completion of the workshop, participants will receive a certificate of completion by email.

Date: XX XX 2026, 9:00 a.m.–2:00 p.m. (online workshop).

Time: 5 hours, including a coffee break.

Location: online.

Group: up to 30 persons.

Teacher: Joanna Siwek, Ph.D.

Price: 200 EUR (plus VAT if applicable) per person.

Methods of payment: wire transfer.

Topics:

1. Introduction to Artificial Intelligence Models, Particularly Large Language Models: GPT, Gemini, and Copilot
• How can AI help us work faster, more accurately, and more efficiently? ChatGPT, Gemini, Copilot, and Canva.
• Ethical issues related to the use of AI in teaching from the perspectives of teachers, students, and programme administrators.
• The specific characteristics of Generations Z and Alpha.
• Practical applications: from content generation to interaction with scientific data. Ways in which AI can support teaching.
2. AI as a Partner in Finding and Working with Resources
• Literature reviews: effective ways to find research, key sources, examples, and relevant topics.
• Working with data: using accessible visualisations, adding interactive elements, and adapting materials to the audience.
• Content compression: generating summaries, reports, podcasts, mind maps, tests, and flashcards.
• Creating transcripts and visual content: converting text-based data into video presentations and video content into text.
3. AI-Assisted Educational Materials: From Initial Idea to Publication
• Planning the process.
• Automated text layout, paraphrasing, and editing.
• Translation and language correction.
• Accurate formatting of citations and bibliographies.
• The use of AI and AI-content detection tools.
4. Creating Presentations and Visual Materials Quickly with AI
• Engaging presentations: preparing posters or slides based on scientific data.
• Image generation: creating graphics and visualisations from text descriptions.
• Creating charts, formulas, and graphs.
• Advanced visualisation and interactivity.
• Automatically generating code for data analysis and identifying errors.
• Explaining complex parts of analyses and code in an accessible way.

Learning Outcomes

Upon completion of the course, participants will be able to:

1. Plan the process of creating and using educational materials.
2. Explain the specific features of teaching students from Generations Z and Alpha.
3. Describe the potential of the latest AI models and their uses in teaching.
4. Use AI tools such as ChatGPT, Gemini, and Copilot effectively in teaching.
5. Apply AI to practical tasks such as content generation, data analysis, visualisation, and mathematical modelling.
6. Use advanced tools to search scientific literature and analyse trends.
7. Use AI to process content efficiently, including summarising articles, generating transcripts, creating presentations, and converting data into visual forms.
8. Create professional academic materials, including presentations, posters, graphics, and charts, from text descriptions.
9. Apply the principles of using AI when working with students and use tools for detecting AI-generated content.
10. Improve the quality of texts through automated layout, editing, paraphrasing, translation, and language correction.
11. Format citations and bibliographies.
12. Generate code, identify errors, and clearly explain complex programming elements used in data analysis with the support of AI.
13. Identify current applications of AI in teaching and use them to improve work efficiency.

Joanna Siwek, Ph.D.

Dr Joanna Siwek is a researcher in the Department of Artificial Intelligence at the Faculty of Mathematics and Computer Science of Adam Mickiewicz University in Poznań. Her research focuses on the development of artificial intelligence algorithms, particularly mobile robot swarms equipped with empathic reasoning capabilities. She also investigates applications of fuzzy sets in finance and decision theory.

Dr Siwek is the head of the Computer Science degree programme at the Faculty. Her teaching activities encompass cloud computing, applications of fuzzy sets, the integration of business and economics with computer science, and artificial intelligence in the context of artificial empathy. She collaborates with Poznań University of Technology, Poznań University of Economics and Business, and the Institute of Computer Science and Cognitive Science in Catania, Italy.