AI in Education
Do you want to use generative AI tools, but don't know how? Here you will find tips and advice on how to best work with AI and what to watch out for.
Welcome to the doctoral programme
The most important information for new students (and not only for them) regarding the organisation of studies, available support, and opportunities for further education.
Newsletter for PhD Candidates
Check out the newsletter (Sep–Jun), where you will find an overview of events, seminars, and other information prepared as part of the Doctoral Study Hub.
News
Become Global Fellow and undertake a course of research and study at Univesity of St Andrews, explore potential collaborations, advance research work, and find the space to think in an inspirational environment.
Deadline for applications: 2 March 2026
Attend one or more seminar organized by National Library of Technology on advanced searching, citing, and communicating.
Topics included: My First Scientific Article, Academic Integrity, AI Essentials in Academia, Dataset preparation and publishing and more. Webinars are free of charge and open for everyone.
Wednesdays from March 4, at 10 AM
Join the selection process for an exciting ERC-funded research opportunity! Dr Efrat Shimron’s Medical AI & MRI Lab at Technion seeks PhD students and postdocs to develop AI solutions for portable low-field MRI systems.
Basic Course in Pedagogical Competencies: How to Support Teaching and Learning in Higher Education
9 February 2026 – 3 March 2026
This programme will provide basic understanding of the principles of learning and offer practical teaching strategies in various settings. Topics and working methods will contribute to the participants’ teaching self-efficacy and support the achievement of the course learning outcomes.
Smart Planning for Meaningful Learning
9 February 2026
The workshop focuses on the key aspects of lesson planning, including the proper formulation of learning outcomes, the selection of appropriate classroom activities, and lesson structuring. Participants will learn how to align learning activities with intended outcomes and how to effectively organize a lesson to ensure maximum effectiveness.
During the course, we will aim to answer the following questions:
Charles University
Rectorate
Student Affairs Department
Ovocný trh 5
116 36 Prague 1
Czech Republic
Identifikátor datové schránky: piyj9b4
IČO: 00216208
DIČ: CZ00216208
