Upcoming training course: Digital Skills Applied to Education (23 - 27 November 2026)
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General Overview of the Training Course
Dates: From 23rd November to 27th November 2026
Timetable: 09:00 to 14:00, with a short break in between
Location: Córdoba, Spain
Venue: Avenida del Gran Capitán 12, 2rd Floor
Mode: Face-to-face
Objectives:
By the end of this course, participants will be able to:
- Understand the digital landscape: Identify the key digital tools and AI platforms transforming education today and assess their relevance to their own context.
- Design AI-enhanced lessons: Create lesson plans, activities and assessment instruments that incorporate AI tools in a pedagogically sound way.
- Produce digital content: Use AI-powered tools to generate, edit and publish multimedia educational materials (text, image, audio and video).
- Manage information efficiently: Apply AI tools for research, summarisation, translation and knowledge organisation to reduce administrative workload.
- Ensure digital safety: Recognise cybersecurity risks in educational environments and adopt best practices to protect students and institutional data.
- Lead digital transformation: Develop a personal action plan for embedding digital skills across the curriculum and supporting colleagues in the process.
Competencies Participants Will Develop:
- Digital Literacy: Confident, critical and creative use of digital technologies for work, learning and participation in society
- AI Fluency: Understanding of how AI systems work, their capabilities and limitations, and their ethical implications in education
- Content Creation: Ability to produce high-quality digital educational materials using AI-assisted tools
- Information Management: Skills to search, evaluate, organise and synthesise information using digital and AI tools
- Cybersecurity: Awareness Knowledge of digital threats and protective measures relevant to educational institutions
- Communication & Collaboration: Use of digital platforms to communicate, collaborate and share knowledge with colleagues and students
- Pedagogical Innovation: Capacity to redesign teaching and assessment practices integrating digital and AI tools
- Digital Leadership: Ability to guide and support others in adopting digital tools within an educational organisation
Methodology & Assessment. Materials, Digital Tools & Learning Resources:
Methodology & Assessment:
The course applies a practical, experiential and adaptive methodology, designed to develop essential digital skills for the current technological landscape.
Learning is structured around an evolving personal project: the creation of an individual digital system supported by artificial intelligence, progressively developed throughout the five days.
Participants engage with digital tools and concepts through real-world application, reflection and iteration.
They experience learning from multiple perspectives:
- Critical user of digital information
- Active user of AI tools
- Creator of digital content
- Self-managed digital worker
Methodological Structure
Each day combines:
- Conceptual presentation (Unit)
- Handsdon practical workshop
- Individual and collaborative work
- Guided reflection and discussion
Learning is based on:
Learning by doing:
- Real-life scenarios and use cases
- Exploration of tools and experimentation
- Critical analysis of outputs and processes
Course progression:
Day 1: Critical thinking and digital literacy
Day 2: AI and productivity
Day 3: Content creation with AI
Day 4: Productivity systems and adaptability
Day 5: Cybersecurity, ethics and real-world application
Content is continuously updated to reflect current tools, risks and technological developments.
Assessment
Assessment is continuous, formative and focused on practical application rather than theoretical testing.
Evaluation is based on participants’ ability to apply digital skills in meaningful and responsible ways.
There is no final exam.
Assessment Criteria
The following aspects are considered:
- Active participation in workshops and discussions
- Ability to critically evaluate digital information and AI outputs
- Effective use of AI tools for practical tasks
- Quality and usefulness of created digital content
- Development of a personal productivity system
- Awareness of cybersecurity and ethical considerations
- Progression and coherence of the personal project
Evidence of Learning
- Learning is demonstrated through:
- Development of a personal digital system
- Practical exercises and outputs
- Peer interaction and feedback
- Individual reflection
- Final presentation of the project
Materials, Digital Tools & Learning Resources:
All materials are digital, practical and directly applicable to real-life contexts.
Participants will use a curated and updated set of tools across all key competency areas:
AI Tools: ChatGPT, Gemini, Claude, Copilot
Content Creation: Canva AI, DALL·E, Gamma, PowerPoint AI, audio and video tools
Productivity Tools: Note-taking and organisation tools, cloud collaboration platforms
Cybersecurity: Password managers, authentication systems, security awareness tools
Additional learning resources include:
- Instructor-designed prompts and frameworks
- Real-world examples and case studies
- Checklists and best practices
- Ethical guidelines
All resources are designed to be reusable and adaptable to participants’ personal and professional environments.
Pedagogical Approach:
The course promotes a balanced and responsible use of technology.
It emphasizes:
- Critical thinking over blind usage
- Practical application over theory
- Autonomy and adaptability
- Ethical and secure use of digital tools
Participants are encouraged to question, experiment and build their own digital criteria.
Core Learning Question:
Throughout the course, participants explore a central question:
How can we use digital tools and artificial intelligence in a critical, productive and responsible way?
Final Output:
By the end of the course, each participant will have:
- A structured personal digital system
- Practical experience with AI tools
- Created digital content
- Improved productivity workflows
- Basic cybersecurity awareness and practices
- A critical understanding of digital environments
Day 1 — Digital Foundations & AI Literacy
Monday, 24 November 2026 · 9:00 – 14:00
An introduction to the digital and AI landscape in education. Participants explore the main AI platforms (ChatGPT, Gemini, Claude, Mistral) and establish a shared vocabulary for the week.
Units covered:
Unit 1 · Introduction to Digital Skills in Education — Overview of the DigComp
2.2 framework; self-assessment of current digital competence; mapping tools to teaching needs.
Unit 2 · Artificial Intelligence Fundamentals — How AI works; generative vs. analytical AI; prompt engineering basics; hands-on exploration of the main AI assistants.
Day 2 — AI for Teaching & Learning Design
Tuesday, 25 November 2026 · 9:00 – 14:00
Participants learn to use AI as a co-designer of educational experiences — from lesson planning to differentiated instruction and formative assessment.Units covered:
Unit 3 · AI-Powered Lesson Planning — Generating lesson plans, rubrics and learning objectives with AI; adapting content for different levels and learning styles.
Unit 4 · Assessment & Feedback with AI — Designing AI-assisted formative assessments; using AI to provide personalised feedback; academic integrity considerations.
Day 3 — Digital Content Creation
Wednesday, 26 November 2026 · 9:00 – 14:00
A practical day focused on producing multimedia educational materials using AI tools — from presentations and infographics to audio and video content.
Units covered:
Unit 5 · Visual & Multimedia Content — AI image generation (Midjourney, DALL·E, Bing Image Creator); infographic design with Napkin AI and Canva; presentation creation with Genially.
Unit 6 · Audio, Video & Interactive Content — AI voice and podcast tools; video summarisation with NotebookLM; creating interactive activities with AI assistance.
Day 4 — Information Management & Digital Safety
Thursday, 27 November 2026 · 9:00 – 14:00
Participants develop skills for managing information efficiently and protecting their digital environment — two critical competences for modern educators.
Units covered:
Unit 7 · AI for Research & Knowledge Management — Using Perplexity, NotebookLM and ChatGPT for research; summarisation and translation workflows; organising knowledge with AI.
Unit 8 · Cybersecurity in Education — Common threats (phishing, data breaches, ransomware); protecting student data (GDPR); safe use of AI tools with minors; practical security audit.
Day 5 — Digital Leadership & Action Planning
Friday, 28 November 2026 · 9:00 – 14:00
The final day brings everything together. Participants design their personal digital transformation plan and present it to the group, building the confidence to lead change in their institutions.
Units covered:
Unit 9 · Leading Digital Transformation in Schools — Change management for digital adoption; building a school digital strategy; supporting colleagues; communicating the value of digital skills to parents and administrators.
Capstone: Personal Action Plan — Each participant presents their 30-day implementation plan; peer feedback; group reflection on the week; certificate ceremony.
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