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May, 2026
Teaching STEM with AI: Strategies, Tools and Pedagogies
➤ Target Audience: EU STEM university teachers and educators interested in integrating AI into their teaching practice.
Who Should Apply: This BIP is aimed at STEM university teachers from all fields who are interested in exploring how AI can support their teaching, learning activities, and student engagement. Participants should have at least some basic prior experience with AI tools (e.g. having experimented with them before) and have an interest in exploring new technologies and their potential in education.
➤ ECTS Credits: 3
➤ Contact Email: alina.botina@tktk.ee
Due to the high level of interest, registration is now closed. Thank you for your understanding.
Participants will be selected based on their academic background in AI, their motivation to participate, and their prior relevant experience.
The Objective
Providing STEM educators with practical tools and strategies to integrate Generative AI into their teaching practices. This BIP is designed to help participants better understand AI's pedagogical potential and to equip them with concrete skills for using AI in the classroom.
Expected Learning Outcomes
By the end of this BIP, participants will be able to:
Understand the pedagogical principles for integrating AI into teaching and learning.
Use AI-powered tools to enhance course content creation, assessment design, and support for students in STEM subjects.
Apply AI in active learning environments, using hands-on approaches.
Develop and implement AI-supported activities in their own teaching contexts.
Reflect on ethical considerations when using AI in educational settings.
Key Dates
2026, April 27th — Registration deadline
2026, May 5th — Preparatory individual task deadline
2026, May 12th, 15:00–17:00 Estonian time, (UTC+03:00) — Online meeting
2026, May 13th–24th — Independent study period
2026, May 25th–29th — On-site sessions at TTK University of Applied Sciences, Tallinn, Estonia
Structure of the BIP
The BIP is organised as a four-part learning process, where each phase prepares participants for the next one and supports active, practice-based learning.
Preparatory individual task (before the online session)
Complete a short task related to your own teaching context to reflect on how AI could support your courses and learning activities.Online session
The online meeting focuses on getting to know each other, going through practical and organisational details, introducing the main themes of the BIP, and starting group-based discussion.Independent practical work
Experiment with AI in your own teaching context and prepare a concrete case or example to bring to the on-site workshops.On-site intensive week
During the in-person part in Tallinn, you work in hands-on workshops to further develop your ideas, share practices, and apply AI tools and pedagogical approaches in depth.
General Concept and Organisation
You will learn with and from an international team of trainers from Spain, Romania, Austria, Belgium and Ukraine, and exchange practices with STEM lecturers from across Europe.
The BIP consists of two main parts:
AI Didactics — Understanding how AI can be integrated into teaching practices to create a student-centred, active learning environment.
Hands-on AI Tools — Participants will engage in practical workshops to learn how to use AI tools (for content creation, assessment, OER development, and AI assistants) directly in their own teaching practices.
The online session (12 May) will focus on getting to know each other, sharing practical and organisational information, introducing the main themes of the BIP, and assigning the independent study tasks. During the on-site part (25–29 May), participants will work on real-life examples and create AI-supported teaching activities based on their own teaching materials and methods. Between the online and in-person sessions, there will be independent study to allow participants to experiment with AI tools and prepare questions for the workshops.
📅 Preliminary agenda
The schedule is subject to changes.
25th May, Monday
09:30–10:00 Registration10:00–10:30 Welcome10:30–12:00 Homework workshop12:00–12:45 Lunch12:45–14:15 Homework workshop14:15–16:00 Networking
26th May, Tuesday
09:00–12:00 Workshop Artificial Intelligence as a Cognitive Partner in Active Learning STEM Classrooms. From Tool Use to Pedagogical Architecture - Francesc Xavier Gimenez Font
12:00–12:45 Lunch12:45–14:15 Workshop AI capabilities, limitations, and academic implications17:00–18:30 City tour
27th May, Wednesday
Field trip to Mõdriku Campus (learning + networking) Workshops Human vs AI-generated content and pedagogical
design - Vlad ocanet and Creating agents, flows and educational materials with Microsoft Copilot - Jan Gregorius
28th May, Thursday
09:00–10:00 Workshop Classroom use cases and activity design - Vlad Bocanet10:00-12:00 Workshop Your Personal Ai Teaching Assistant: Automating Stem Content, Assessment, And Feedback With Zapier - Artem Koldovsky12:00–12:45 Lunch
12:45–14:45 Workshop Teaching with AI-Generated visualisations - Supporting learners understanding in STEM subjects - Mikko Turunen and Ville Palkinen
15:00–16:00 University and lab tour29th May, Friday
09:00–10:00 Workshop Ai-Supported Research Workflows For Stem Educators: Evidence Discovery, Synthesis, And Critical Use - Artem Koldovsky
10:00–10:30
Workshop Teachers vibe coding: students do it already anyway - Alina Botina
10:30-12:00 Workshop - Elena Safiulina and Gert Tamberg
12:00–13:00 Closing session and end-of-BIP celebrationNB! Please always contact the Erasmus coordinator of your home university to discuss details for funding before you register.
Accommodation and transportation costs are covered by your institution's Erasmus funds.
*The images used on this webpage were generated with lmarena.ai
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