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Do you want to learn how to use AI tools to effectively prepare and deliver your lessons? Want to understand how AI tools can simplify and enrich your daily work as a teacher and how to guide your students to use them ethically and effectively? Whether you're new to AI or already have some experience with it, this course will give you a practical introduction to how technology can be integrated into teaching practice and how to use AI for modern teaching.
Throughout the course, you will experience a variety of AI tools that can help you plan lessons, create teaching materials, deliver interactive and personalised learning, as well as provide feedback and assessment to students. We will also focus on analysing the limits and risks of AI in education. The course will be interactive, full of discussions, sharing of experiences and practical exercises. You don't need to have any prior knowledge of AI or experience of using it: the course is open to those already working with AI tools and complete beginners alike.
Last update: Fodorová Aneta, Mgr., Ph.D. (06.10.2026)
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The aim of the course is to give participants a practical understanding of how AI tools can be used to prepare lessons, support interactive and personalised learning, and provide feedback and assessment. At the same time, the course aims to develop their ability to think critically about the ethical, legal and pedagogical limits of AI, so that they can use it responsibly in their own teaching and guide their students to do the same.
Learning outcomes:
Last update: Fodorová Aneta, Mgr., Ph.D. (06.10.2026)
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Atest - KZ/Zk Students can choose from two options: § Group presentations of practical projects - preferred method § Short reflective report - alternative delivery
1. Group presentations of practical projects At the end of the course, students will work in groups (3-4) and prepare a short presentation (5-10 minutes) on how they have used/would use a particular AI tool in their teaching. Each group will focus on one specific tool and its practical use (e.g. for lesson preparation, creating teaching materials, student assessment, etc.). The presentation should include: · A description of the tool and how they used it. · The benefits the tool has brought and the challenges they have encountered in using it. · Opportunities to improve the use of the tool. Each presentation will be followed by feedback from peers and the teacher. 2. A short reflective report. In this report, they will assess what key AI tools they have learned and how they plan to incorporate them into their future teaching practice. The report will include a reflection on what students learned in the course, which tools they found most useful, and how they can apply them in their teaching. The report will also allow them to reflect on the challenges and opportunities associated with the use of AI. This is an alternative delivery to the group presentation, which is, however, preferred.
Exam requirements · Attendance – at least 66% · Completion of homework · Group presentations of practical projects - preferred method, or short reflective report - alternative delivery Last update: Fodorová Aneta, Mgr., Ph.D. (06.10.2026)
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Literature BOWEN, José Antonio, WATSON, C. Edward. Teaching with AI: A Practical Guide to a New Era of Human Learning. 2nd ed. Baltimore: Johns Hopkins University Press, 2025. HOLMES, Wayne, BIALIK, Maya, FADEL, Charles. Artificial Intelligence in Education: Promises and Implications for Teaching and Learning. Boston: Center for Curriculum Redesign, 2019. EUROPEAN COMMISSION. Guidelines on the Ethical Use of Artificial Intelligence and Data in Teaching and Learning for Educators. Luxembourg: Publications Office of the European Union, 2026. Last update: Fodorová Aneta, Mgr., Ph.D. (06.10.2026)
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Syllabus Block 1: Introduction to AI in Education and Tools for Lesson Planning
Block 2: Application of AI in Teaching and Providing Feedback
Block 3: Ethics, Risks, and Final Projects
Last update: Fodorová Aneta, Mgr., Ph.D. (06.10.2026)
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