
The Content
The training is planned as activities of at most four 60-minute hours per training day. This schedule is divided into three teaching sessions, one workshop session, two attendee presentation sessions, and breaks for refreshing concentration.
- Three teaching sessions are planned, two for the first day and the remaining for the second day.
- The first session is a general introduction to the domain of artificial intelligence (AI) with a quick overview of the concepts related to AI, followed by a look at the recent development of AI. A selection of AI-based tools (selected from the Starter Kit) is presented, along with a showcase of their use in general (possibly in the context of education). Competencies and the heatmap (from the Starter Kit) are also discussed here.
- Lecturer: Asst Prof. Bogdan Okreša Đurić
- The second session is focused on the teaching and learning processes. AI-based tools are discussed in the context of education, especially in higher education. Case studies are presented, and examples of the partners' use are given. The pedagogical impact of using AI-based tools in education is provided. The applicable teaching and learning methods and approaches are discussed.
- Lecturer: Full Prof. Markus Schatten
- The third session concerns the AI domain's ethical, philosophical, and pedagogical topics and the relevant policies, legal, and privacy discussions. This session emphasises soft skills crucial when dealing with AI-based tools and their results, including critical thinking, equality, and equity. AI-related policies are introduced and discussed. Particular emphasis is given to the context of higher education.
- The single workshop session is planned for the first day. The attendees are introduced to different tools and examples of their use. Local teams are formed. Expectations of the teamwork are communicated.
- Local moderators will introduce teams to a selection of AI-based tools and showcase their use. Teams of participants are encouraged to use the tools and test their abilities.
- Attendee presentation sessions are planned for the second day of the workshop. The teams present their developed use cases. Each team is given exactly 10 minutes to present their results. After each presentation, 5 minutes are reserved for feedback or questions.
- Introduction and closing sessions serve as introduction time with an overview of the coming day, feedback collecting, and Q&A sessions at the end of each day.
Imagine stepping into a hands-on, interactive experience where AI meets education. Over two days, we shall look into artificial intelligence's essentials, exploring its possibilities and challenges in teaching. This is a gamified, practical event where you will gain foundational insights, build essential digital skills, and collaborate with colleagues towards transforming the classroom experience.
We will begin with an overview of AI’s core concepts and how AI-based tools can support innovative educational practices. Then, we shall move to the hands-on workshop designed to help you engage with selected AI-based tools. You can test selected AI-based tools under local guidance by working with local teammates.
This is more than just training – it’s an invitation to experiment and learn together and to bring new insights and inspiration back to your classroom. Join us and participate in this collaborative exploration of AI in teaching and learning!
The Learning Outcomes
- Explain fundamental AI concepts and key tool categories and describe their essential functions in educational contexts.
- Analyze the influence of AI on pedagogical methods, ethical considerations, and equitable outcomes in teaching and learning.
- Apply appropriate AI-based tools to address real-world educational challenges.
- Evaluate the effectiveness of AI implementations by examining evidence of their impact on specified learning outcomes.
- Synthesize technical knowledge and ethical insights into use-case scenarios, incorporating constructive peer feedback and collaborative refinement.
Privacy Notice (GDPR Compliance)
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