Smart Teaching: AI and ICT in Modern Education

How can AI and digital tools make teaching more effective without replacing professional judgement?

This practical Erasmus+ course helps educators integrate AI and ICT into lesson planning, classroom activities, differentiation and responsible teaching practice.

Activity Type: Physical Mobility

Duration: 1-week course for professionals from all Erasmus+ eligible countries

Target Group: Teachers, trainers, adult educators, academic staff, school leaders, educational coordinators and other education professionals from all educational levels

Course Language: English

Equipment: Participants should bring a laptop for practical activities.

Available Dates and Locations: View confirmed course sessions

Using AI and ICT Responsibly in Everyday Teaching

Artificial intelligence concept

Teachers often struggle to keep pace with rapid advancements in Information and Communication Technologies (ICTs), particularly in the burgeoning field of Artificial Intelligence (AI). AI promises a revolution in education, but teachers need proper training to leverage its potential effectively.

This course introduces AI in education, providing strategies to integrate AI as an ally in teaching. Participants will explore the benefits and risks of AI in the classroom and gain hands-on experience with tools like ChatGPT for language practice, AI assessment tools, and AI applications. Additionally, the course will guide participants in creating student contracts for AI-generated content and discuss ethical considerations in using AI in education.

By the end of the course, participants will be equipped with practical knowledge and strategies for using AI tools, creating effective learning environments, and addressing ethical issues in AI implementation.

Learning Outcomes

    This course aims to enable participants to:
  • Comprehend the benefits and ethical implications of using AI in education;
  • Become acquainted with various AI tools and applications available for educational purposes;
  • Develop skills in using ChatGPT, AI-based assessments, and quest-based language learning, along with personalized feedback;
  • Learn to integrate AI tools into lessons and activities to enhance student engagement and learning outcomes;
  • Discover best practices for implementing AI in the classroom, including designing a student contract for AI-generated content;
  • Build confidence in utilizing AI to support student learning and development
These outcomes are designed to provide participants with a thorough understanding of AI's role in education and the skills to effectively employ AI tools in their teaching practices.

Schedule

Day 1 – Course Introduction & Setting Goals

Course Introduction:

  • Overview of the course, the school, and the week's activities
  • Icebreakers: Exploring our experiences and perceptions of AI
  • Overview of ICT and AI in modern education — definitions, trends, and potential impact

Setting Goals:

  • Identifying needs and goals for each participant and relevant populations
  • Understanding how AI is transforming learning environments
  • Group discussions and activities
  • Participant school presentations

Day 2 – From Theory to Practice: Building AI Awareness

  • Revisiting 21st-century skills — the teacher’s role in fostering digital and critical literacy.
  • Exploration of key AI tools: ChatGPT, adaptive learning systems, and automated assessment platforms.
  • Workshop: Identifying classroom challenges AI can help solve.
  • Reflection: Benefits and limitations of AI in real teaching contexts.

Day 3 – Practical Integration: AI for Engagement and Assessment

  • Practical use of AI in lesson planning and classroom management
  • Activity: Creating interactive exercises with AI-based tools (e.g. quizzes, chatbots, feedback systems)
  • Workshop: How to use ChatGPT for learning and idea generation
  • Discussion: The role of the teacher in guiding AI use and preventing over-reliance

Day 4 – Ethics and Responsible AI Integration

  • Understanding ethical use of AI: bias, plagiarism, and data privacy concerns
  • Workshop: Creating “AI use guidelines” and student contracts for responsible AI engagement
  • Debate: Should AI be seen as a teaching partner or a potential threat?
  • Designing assessment strategies with AI support — ensuring fairness and transparency
  • Reviewing AI-integrated lesson plans for ethical compliance

Day 5 – Implementation and Evaluation

  • Presenting AI-enhanced lessons or project ideas
  • Discussion: Building confidence in AI adoption and addressing implementation barriers
  • Networking session: Sharing experiences and best practices among participants
  • Course evaluation, competency roundup, and feedback discussion

Day 6 – Course Closure & Cultural Activities

  • Reflection
  • Awarding of Certificates of Attendance
  • Excursion and other cultural activities

Evaluation of Learning Outcomes

Evaluation format:
Continuous assessment on class participation and self-assessment.
Evaluation criteria:
Participation in class debates, reflection and games.
Evaluation procedures:
Attendance, class participation.

Recognition of learning outcomes

Recognition conditions:
Attendance at a minimum of 80% of the course and active class participation.
Recognition procedures:
Learning outcomes are recognised through participant reflection, trainer feedback and completion of the course activities.
Recognition documentation:
Certificate of Attendance documenting the course title, dates, venue and learning outcomes.

Methodology & Learning Approach

The course uses a practical, learner-centred methodology combining hands-on workshops, real-world examples, simulations, guided reflection and collaborative activities. Participants exchange good practices, work in international groups and develop ideas that can be adapted to their own professional context.

Optional cultural, social and networking activities support local engagement, intercultural learning and professional collaboration.

Practical Details

Duration: 1 week or 25 academic hours
Schedule: Classes are from Monday to Friday in the morning or in the afternoon. The final timetable will be sent at least two weeks before the start of the class. Saturday is reserved for Cultural Activities.
Sundays are for arrival and departure.
Note: other durations and schedules can be arranged on demand.
Certification: Participants who meet the attendance requirements receive a Certificate of Attendance documenting the course title, dates, venue and learning outcomes.
Preparation: No special preparation is required unless stated in the course programme. Participants may be invited to introduce their organisation and share examples from their professional context. Any required materials or equipment will be communicated before the course.
Erasmus+ funding: Course fees and mobility costs may be supported through an eligible sending organisation's Erasmus+ grant. Eligibility and final funding are determined by the beneficiary organisation and its National Agency. Read our Erasmus+ KA1 funding guide .
Support: Understanding Academy provides course programmes, learning outcomes, registration documentation and certificates for mobility administration. Participants and sending organisations remain responsible for transport, accommodation and grant management.
Fee: €480 See what the course fee includes

Plan your Erasmus+ mobility

Ready to join this course?

Check the upcoming confirmed dates or register your interest. We will contact you with availability and the next steps.

Need funding information? Read our Erasmus+ KA1 funding guide.

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