Art-Tech for Higher Education

“Learn how to create engaging, academically rigorous teaching materials with creative AI tools—confidently, ethically, and in ways that save time while supporting student learning.”  –  TAH Centre

Art-Tech for Higher Education is a four-day hands-on course that equips university educators with practical skills and ethical frameworks for using generative AI in teaching and research. Participants will explore applications across text, image, audio, and video, while reflecting on issues of academic integrity, authorship, and privacy. Each day is led by domain experts, combining demonstrations, guided practice, and critical discussion. Alongside experimenting with tools, participants will co-create personal guidelines for responsible AI use and gain strategies for evaluating future developments. The course is eligible for Erasmus+ Staff Mobility and results in a certificate of attendance.

Who Should Attend

  • University lecturers and tutors
  • Studio leaders and course designers
  • Educational technologists and curriculum developers
  • Academic innovators seeking to responsibly integrate AI into higher education

Learning Outcomes

By the end of the course, participants will be able to:
  • Critically navigate the rapidly evolving landscape of generative AI in higher education.
  • Apply workflow thinking to explore how text, image, audio, and video modalities can support student engagement.
  • Prototype AI-supported educational content in the medium most relevant to their teaching context.
  • Draft personal and institutional guidelines for responsible AI use, developed through ongoing reflection and group discussion.
  • Recognize and integrate human-centered practices, including embodied and multisensory approaches, as a counterbalance to synthetic media.
  • Future-proof their teaching practice by identifying strategies for evaluating emerging technologies over time.

Why This Course Matters

Generative AI is already part of your students’ daily lives. Institutions, however, are still defining their approaches—leaving educators caught between innovation and uncertainty. This course provides clarity: it equips you with the tools, strategies, and ethical framework to engage AI responsibly, while maintaining academic integrity and educational quality.

Instead of following a one-size-fits-all recipe, you’ll explore a range of modalities and select the approaches that make sense for your teaching. Along the way, you’ll develop an AI-use policy for your own practice and join a network of peers facing similar challenges.

After Completing The Course, You Will Be Able To:

  • Produce AI-assisted educational materials in text, image, audio, and/or video formats.
  • Evaluate tools against critical criteria: privacy, cost, accessibility, pedagogical fit.
  • Integrate AI-enhanced resources into existing curricula while safeguarding academic integrity.
  • Co-create and refine your own ethical guidelines for AI in education.
  • Reflect on embodied and multisensory approaches as complementary to digital tools.
  • Anticipate and adapt to technological change with a futureproof mindset.

Pre-requisites:

Participants should have basic prior experience with generative AI (e.g., having tried tools like ChatGPT or Google AI Studio). For those new to AI, we will share a set of recommended resources to review before the course.

Date

February 1 – 5, 2026

Location

Prague

Format

5-day intensive course with hands-on workshops with internationally recognised experts

Certificate

Proof of Attendance

Language

English

Fees

395 EUR or 10.000 CZK per participant

The course is eligible for Erasmus+ Staff Mobility Week

20% discount for TAH association members

Registration Deadline

31 December, 2025

Registration

Course Structure

Day 0: Arrival & Informal Networking (evening)

A relaxed start: informal introductions, drinks, and networking. An opportunity to meet the teaching team and fellow participants, share expectations, and set the tone for the coming days.

Day 1: Navigating the AI Landscape: Text & Academic Practice

Gain a critical overview of the AI ecosystem in higher education. Learn how to apply text-based AI to teaching and research—designing assignments, engaging students, structuring ideas, and analyzing student work—while developing first steps toward your own responsible-use guidelines.

Day 2: Image & Audio AI Tools for Engaged Learning

Discover how visual and audio AI tools can enrich learning experiences. From illustrations and diagrams to podcasts and voice agents, you’ll experiment with multimodal resources and reflect on issues of authorship, originality, and disclosure in multimedia teaching.

Day 3: AI Video & Digital Storytelling

Investigate the role of video in education through explainers, avatars, and short lectures. Learn how to craft clear, accessible narratives using AI video tools, and explore the ethical implications of data, privacy, and authenticity in audiovisual materials.

Day 4: Ethics & Future-Proofing

Consolidate your personal ethical AI-use policy through group discussion and peer exchange. Prepare for the future by developing strategies to critically evaluate new technologies as they emerge.

Daily Agenda

18:00–20:00 | Arrival, introductions and embodied learning

Meet the teaching team and fellow participants, share expectations, set a collaborative tone. Experience embodied and multisensory approaches as a counterbalance to digital tools, and prepare for the future by developing strategies to critically evaluate new technologies as they emerge.

09:30 – 10:00 | Warm-up & facilitated discussion (expectations, personal experiences)

10:00 – 12:30 | Morning Session: Mapping the AI Landscape

  • Overview of AI in higher education: opportunities & constraints (privacy, subscriptions, overload).
  • Critical myths vs. realities.
  • Institutional challenges.
  • Group exercise: mapping personal use cases + first draft of AI-use guidelines.

12:30 – 13:30 | Lunch Break

13:30 – 16:00 | Afternoon Session: Hands-on with Text (LLMs)

  • Practical applications: assignments, engagement prompts, course materials.
  • Academic research support: structuring ideas, synthesizing sources.
  • Processing student writing (summarization, theme extraction).
  • Peer exchange: sharing useful prompt patterns.

16:00 – 16:30 | Closing circle: reflections + grounding exercise

09:30 – 10:00 | Warm-up (visual thinking exercise)

10:00 – 12:30 | Morning Session: AI Images for Learning

  • Pedagogical visuals: diagrams, concept maps, illustrative images.
  • Ethical/academic issues: authorship, bias, accessibility.
  • Workshop: creating a small visual set for participants’ own teaching contexts.

12:30 – 13:30 | Lunch Break

13:30 – 16:00 | Afternoon Session: AI Audio for Education

  • AI podcasts, lecture companions, voice agents.
  • Designing interactive audio scenarios for practice & feedback.
  • Small-group prototyping of audio-based teaching activities.

16:00 – 16:30 | Closing circle: reflections + grounding exercise

09:30 – 10:00 | Warm-up (storytelling game / narrative exercise)

10:00 – 12:30 | Morning Session: Educational Uses of AI Video

  • Formats: explainers, avatars, micro-lectures.
  • Linking text, image, and audio knowledge into coherent video workflows.
  • Theory input: narrative clarity, accessibility, privacy considerations.

12:30 – 13:30 | Lunch Break

13:30 – 16:00 | Afternoon Session: Hands-on Video Workshop

  • Guided creation of a short educational video (explainer / avatar micro-lecture).
  • Peer feedback on narrative clarity & accessibility.

16:00 – 16:30 | Closing circle: reflections + grounding exercise

9:30 – 10:00 | Warm-up (values-mapping activity)

10:00 – 12:00 | Morning Session: AI Ethics & Policy Synthesis

  • Collect & refine the personal AI-use guidelines started earlier.
  • Moderated discussion: key tensions (integrity, authorship, bias, privacy).
  • Drafting institutional AI policies tailored to participants’ contexts.

12:30 – 13:30 | Lunch Break

13:30 – 15:30 | Afternoon Session: Integration & Future-Proofing

  • Futureproofing: strategies for monitoring & evaluating emerging technologies.
  • Participant presentations: sharing individual use cases & insights.

16:00 – 16:30 | Diploma ceremony + group reflection

Instructors

Teaching Team

This course is co-designed by Lenka Hámošová and Marcel Kraus in collaboration with the TAH Impact Academy. It is delivered by an interdisciplinary group of internationally recognized experts in AI and education, each contributing their domain expertise—ranging from creative AI and pedagogy to digital storytelling and ethics.

Lenka Hámošová

Ondřej Hrách

Michaela Liegertová

Tereza Stehlíková

How to register?

Choose your course and follow these simple steps:

  1. Standard participants: Complete this registration form directly.

    Erasmus+ participants: Contact your institution’s Erasmus+ Officer first, then complete this form.
  2. After registering, you’ll receive a confirmation email with preliminary information.
  3. Pay the course fee according to the invoice (sent 8 weeks before the course).
  4. Once payment is confirmed, you’ll receive detailed course materials and instructions.
Registration

Do You Have Any Questions?

Go through FAQ and our Terms and Conditions or connect with TAH Impact Academy Coordinator

Veronika Vlachová

academy@tah-centre.org

Lenka Hámošová

Main facilitator of the course

Lenka Hámošová is an interdisciplinary artist, designer, researcher, and educator specializing in human-AI co-creation and the design of creative AI workflows. Her research focuses on how AI can be meaningfully integrated into artistic and design processes, ensuring that human creative agency remains central. She is currently pursuing a PhD at FUD UJEP in Ústí nad Labem, where she explores the design and visualization of creative AI workflows in artistic and design practice.

With over six years of experience in AI-driven creative applications and more than 15 years in the creative industry, Lenka is dedicated to developing innovative methodologies for AI integration in artistic and educational settings. She designs and facilitates workshops, brainstorming tools, and structured methodologies to help artists, designers, and professionals navigate AI’s role in their creative work.

She has worked with organizations such as Google AI Ethics Team, Seznam Zprávy, ČSOB, Kunsthalle Prague, and DOX Contemporary Art Center, bringing AI literacy and critical thinking into creative fields. As a co-founder of TAH – Centre for Innovation in Technology, Arts, and Humanities, the initiator of Creative AI Meet-ups in Prague, and a co-founder of the Uroboros Festival, she actively fosters interdisciplinary dialogue on AI’s role in artistic and design research.

In the course Future Tech & Social Justice: Transdisciplinary Innovation for Responsible Technological Futures, Lenka combines her expertise in AI-generated media, participatory AI methodologies, and speculative design to equip participants with practical tools, critical perspectives, and hands-on experience in human-AI collaboration.

Areas of Expertise:

  • Human-AI co-creation in artistic and design practice
  • Creative AI workflows and methodology development
  • Workshop design and facilitation for AI in creative industries
  • Participatory AI and speculative design methodologies, Transdisciplinary methodologies

Topics in the Course:

  • Facilitation of interdisciplinary dialogue
  • Exploring new pedagogical approaches for AI in creative education
  • Structuring co-creative AI workflows in art and design
  • Developing custom AI brainstorming tools and methodologies
  • Balancing automation and human agency in AI-assisted creativity

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Ondřej Hrách

AI audio in education specialist

Ondřej Hrách is an AI educator, musician, and linguist who thrives at the intersection of art, technology, and education. He currently co-leads Aignos, a successful non-profit organization dedicated to spreading AI literacy across Czechia, while maintaining an active artistic practice through his unique glass bottle music project Flaškinet.

With five years of experience as a linguist for conversational AI (incl. the globally successful Alquist team), Ondřej brings practical expertise in AI technologies to his educational work. He has taught around 150 AI workshops, including programs for music educators at art schools; he regularly moderates AI-related events and co-hosts the podcast “Člověk v éře AI” (Human in the AI Era). His organization Aignos has been recognized as a two-time finalist for the Czech AI Awards (2023, 2024).

In the Art-Tech for Higher Education course, Ondřej combines his dual background in AI and music with hands-on AI experience to guide participants in exploring how audio technologies can enhance teaching practices.

Areas of expertise:

  • AI literacy and education
  • Music
  • Conversational AI
  • Transdisciplinary approaches to AI education

Topics in the course:

  • AI audio tools for educational contexts
  • Integration of sound in multisensory learning experiences

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Michaela Liegertová

Educator and AI innovator specialist

Michaela Liegertová is an educator and AI innovator at Jan Evangelista Purkyně University (UJEP), recognized for her activities in the integration of generative AI into academic settings. She currently serves as Vice-Dean for Development and Quality at the Faculty of Science and as AI Ambassador at UJEP. Her unique combination of research expertise and advanced AI literacy offers a distinctive approach to integrating generative AI into education and scientific research.

Michaela holds a Ph.D. in Developmental and Cell Biology from Charles University (2009-2016) and an MSc. in Biology and Chemistry for Education from UJEP (2002-2009). Her achievements include winning first place in the 2024 “Přicházejí z-AI-mavé časy” AI-assisted creative writing contest, where she demonstrated exceptional AI prompting strategies, and receiving the 2023 Rector’s Award from UJEP for exceptional contributions to AI education. She currently leads the “AI Together” project, delivering workshops on integrating generative AI into education and scientific research in biomedicine across Czechia.

Michaela will lead a hands-on workshop on integrating AI tools into teaching and research, leveraging her award-winning expertise in AI-assisted creative writing. Her transdisciplinary approach, combining scientific methodology with AI-driven innovation, bridges STEM and humanities, offering valuable insights into how AI can enhance academic work across disciplines.

Key areas of expertise:

  • Generative AI in education
  • Generative AI in biomedical research
  • AI literacy
  • AI prompting strategies
  • Academic integrity with AI

Course topics:

  • AI Writing & Creative Expression in Academia 
  • Introduction to AI writing tools in academic context & Integrity and Ethics
  • Practical workshop: Creating innovative didactic materials with generative AI tools

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Tereza Stehlikova

Czech/British artist, researcher and educator

Dr Tereza Stehlikova (PhD, MA) is a Czech/British artist, researcher and educator. Her practice spans moving image, installation and participatory performance and is driven by cross-disciplinary collaboration. Stehlikova is engaged in artistic research, focused on investigating the role our senses and embodiment play in conveying meaning through artistic practice. She collaborates with scientists, investigating cross-modal interactions and embodied cognition. She is currently writing a book about artistic research and the role of technology for Routledge and is also an editor of cross-disciplinary journal Tangible Territory.

She holds a PhD from the Royal College of Art, London and has been a senior lecturer and a PhD supervisor at University of Westminster as well as at the RCA for many years. Having moved from London to Prague in 2021, she is now the head of visual arts department at Vysoká Škola Kreativní Komunikace, Prague and now also teaches artistic research methods to PhD students at Academy of Performing Arts, Film Academy, as well as to MA students at Academy of Applied Arts.

In the course Art-Tech for Higher Education, her focus lies in exploring embodied meaning-making, including importance of situated, multi-sensory learning, using the body as an instrument of investigation and questioning how technology can remain in our service rather than taking away our agency.

Areas of expertise

  • Sensory perception/embodiment
  • Artistic research
  • Art & science dialogue
  • Embodied and situated learning
  • Collaborative practice

Topics in the course

  • Unique insights that artistic methods can bring
  • Questions of interdisciplinary dialogue
  • Importance of process, the body, imagination
  • How to change our habits by opening up liminal spaces

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