Basic ICT required.Read more
Basic computer proficiency courses are designed for individuals who have limited experience with technology. Participants will learn fundamental skills such as navigating the web, and using basic programs.
Targeted to Intermediate English (B1+) speakers.Read more
This is the standard requirement for most courses. Participants at this level can participate actively in discussions and manage everyday and professional situations. If they are unsure about their English level, they can test it here or explore our courses facilitated in Basic English.
Humanities Teachers, Secondary Teachers.Read more
The listed audiences are those for whom the course is especially recommended, but courses are not exclusive to them and are open to everyone. In fact, most of our workshops are built around the collective sharing of participants’ experiences and having a variety of profiles enriches the learning process and is highly encouraged!
Description
Many History teachers feel unprepared to fully integrate generative AI into their lessons.
In fact, while AI tools are increasingly used to prepare lesson materials, most teachers still lack practical strategies for turning the generative power of AI into meaningful and effective learning experiences, especially in ways that can really help students think critically about history, sources, and evidence.
This course intends to “bridge this gap”, moving beyond simple AI demonstrations and providing History teachers with the necessary knowledge and tools to realize a deep and hands-on integration of generative AI into their curriculum.
Throughout the week, participants will explore how AI can support lesson planning and designing curricula; source analysis (helping in working with both primary and secondary ones, such as documents, images, etc.); creative engagement; and differentiated instruction.
They will have the chance to experiment with interactive activities such as role-playing historical debates with AI chatbots, running research-based simulations, and creating adaptive materials tailored to their students’ needs.
Also, AI literacy and critical thinking will be developed among students, helping them understand how to evaluate sources properly, recognize bias, and approach AI-generated content with historical awareness.
Furthermore, teachers will discover efficient tools and strategies to implement AI in their assessment and feedback routines, and how to reduce workload (e.g., generating formal documents, rubrics for evaluation) while maintaining pedagogical integrity.
This course attempts a “human-in-the-loop” approach, in which teachers take the role of an expert facilitator (instead of being passive users of technology).
Through collaborative workshops and practical exercises, participants will leave with a ready-to-use toolkit of lesson ideas, activities, and ethical guidelines for using generative AI responsibly in the History classroom, while learning all the important skills of fact-checking and ethical use of any material that was created using generative AI.
By the end of the course, participants will be able to design engaging, evidence-based, and critically aware lessons, turning AI from a technical tool into a powerful ally for historical inquiry and creative learning for their students.
What is included
Learning outcomes
The course will help participants to:
- Implement generative AI tools to help students explore real (or fictitious “what-if”) historical scenarios and construct narratives of such events based on verified historical evidence;
- Guide students in analyzing and interpreting primary sources with the help of AI, developing historical thinking and inquiry skills;
- Develop structured activities that not only educate students but also train them to use critical thinking (fact-checking and verifying) when using or creating AI-generated content;
- Integrate AI safely and responsibly by establishing simple ethical guidelines for History-related assignments and projects;
- Facilitate AI-powered historical debates that present multiple perspectives on historical events that are difficult to interpret from a single point of view;
- Build a personal toolkit of adaptable, AI-enhanced materials aligned with their own History curriculum and students’ learning needs.
Tentative schedule
Day 1 – Introduction to the course
- Introduction to the course and the Academy;
- Introduction to the host city and the week’s cultural activities;
- Icebreaker activities;
- Presentations of the participants’ schools and institutions.
The foundations of using generative AI-based tools
- Understanding Generative AI: opportunities and limitations in History teaching;
- Goal setting (creating a shared vision for how to use AI tools responsibly in history education;
- Lead-in exploration (simple, hands-on tasks with generative AI tools);
- AI or Lie? – Spotting inaccuracies, bias, and hallucinations in AI-generated content;
- Reflection and discussion: current practices, challenges, and ethical use of AI in schools;
- Group task: establishing shared classroom verification and safety guidelines.
Day 2 – Analyzing the past with AI
- Using AI as a research assistant (Perplexity AI / Consensus AI and other tools);
- Prompting strategies for historical research and primary source analysis;
- Case studies (translation/contextualization exercises): validating answers, prompting techniques to avoid misinterpretations;
- Interactive activity: investigating a historical mystery using AI tools;
- Reflection: strengths and limits of AI in supporting historical accuracy.
Day 3 – Debating history and building engaging narratives with AI
- AI as a tool to simulate multi-perspective historical debates;
- Best practices (e.g., debate tournaments, real-time fact-checking, etc.);
- Building historical “what-if” scenarios;
- Group activity: designing narrative-based tasks (e.g., “Create your own country”);
- Discussion: the fundamentals of making narrative activities engaging and academically rigorous.
Day 4 – The AI-enhanced history classroom
- How to integrate generative AI into project-based learning (PBL);
- Workshop: creating digital exhibitions, documentaries, or simulations;
- Managing over-reliance on AI: guiding students toward critical, active learning;
- Collaboration: designing a mini project that compares ways of interpretation of a given historical event (if applicable);
- Individual work / Pairwork / Groupwork activity – Designing AI-enhanced lesson plans or curricula (gathering necessary sources, outlining methods, FAQ).
Day 5 – Synthesis and action planning
- Designing a mini-project that compares ways of interpretation of a given historical event (continue, if applicable);
- Synthesis of key points of the course, development of implementation strategies (for the first few months back in the classroom);
- Course evaluation: round-up of acquired competencies, feedback, and discussions;
- Awarding of the course Certificate of Attendance.
Day 6 – Structured cultural activities
- Structured cultural activity(ies) according to the hosting location;
- Learning journal: individual written reflection on the course experience;
- Course reflection: self-reflection and review of course materials and resources.
This course uses AI tools as part of the learning experience and may include a dedicated session on GDPR compliance and responsible data use, depending on participants’ interests.
Participants are encouraged to verify that the use of AI tools is permitted under their national regulations and institutional policies before registering.
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