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Artificial Intelligence Tools for Supporting Teaching and Learning in Higher Education

February 26 @ 12:00 pm - 2:00 pm

Course Type: Active Learning e-Pedagogy Schools (ALES)

 

Duration and Timeline:

  • Course components and contact hours: 2 hrs. synchronous online
  • Online component: 26 February 2026, 12:00–14:00 (CET)

 

Award, Credits and Certification

Participants who complete the course will receive an official certificate of attendance.

Organised by:

Lead Institution

Medical University of Gdańsk (Poland)

Teaching Staff

Beata Żołnowska (Medical University of Gdańsk)

Aneta Pogorzelska (Medical University of Gdańsk)

 

Course Description and Learning Objectives

This course introduces academic teaching staff to practical and responsible uses of Artificial Intelligence (AI) tools that support teaching, learning and everyday academic work in higher education. Participants will explore how contemporary AI systems can assist in designing learning activities, developing course materials, enhancing student engagement, streamlining assessment processes and improving their own academic productivity.

The course emphasises hands-on experimentation, critical reflection and authentic academic use cases. It is designed for educators from all disciplines and requires no prior technical expertise. By the end of the course, participants will have a clear understanding of how to integrate AI meaningfully and ethically into their teaching practice in order to improve learning outcomes and enrich the overall student experience.

 

Learning Outcomes

By the end of the course, participants will be able to:

  • Explain the core concepts of generative Artificial Intelligence (AI) and its relevance to teaching and learning in higher education using clear and accessible language.
  • Use AI tools to support the creation of educational materials, such as lectures, seminars, summaries, visual explanations and interactive learning resources.
  • Critically evaluate AI-generated content, identifying its limitations, potential biases and risks related to accuracy, ethics and data protection.
  • Integrate AI tools into their own teaching context by designing a small teaching activity or lesson plan supported by AI-generated resources.

Target Group: Teaching Staff from All Disciplines

This course is designed for teaching staff from ACE²-EU partner universities, from all disciplines, who are interested in exploring innovative and responsible ways of integrating Artificial Intelligence into their teaching practice. It is particularly suitable for educators seeking to enhance active learning, improve student engagement, and reflect critically on the pedagogical use of digital and AI-based tools in higher education.

Application Process:

Interested applicants should

🔗 Apply here: https://forms.gle/4ZyccKdXgRZsbhgo8

Deadline for receipt of applications: 25 February 2026

→ A Microsoft Teams calendar invitation will be sent to all registered teaching staff.

Further Information

For any further information or queries related to the course, please contact:

Email dszczesny@gumed.edu.pl

Details

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