LEADING TVET SYSTEMS IN A DIGITAL AND AI ERA

The COVID-19 pandemic profoundly disrupted the educational system, highlighting the need for resilience through technology.

This shift from a traditional model aims to achieve several objectives: increasing accessibility, promoting inclusion, and, crucially, aligning competencies with industry needs.

The rise of Artificial Intelligence (AI) marks a new revolution in the digitalisation era; along with accessibility and capabilities, it has introduced disparities, as not all systems and learners can equally benefit from these advancements.

Therefore, today’s challenges are more complex with the advent and proliferation of AI. TVET centres will need to rethink their economic models, understand the e-learning market, and adapt their offerings to meet competency demands. Additionally, as ongoing innovation constantly reshapes these demands, TVET centres must develop unprecedented adaptability. It is essential to highlight that risks are also multiplied by the vast and unrestricted access to technology. This necessitates a crucial transversal skill for TVET centre managers and educators, which will be addressed in this course.

Finally, technology, more than ever, places humans at the centre of the issue. In the context of TVET, a learner-centred approach is fundamental to the new generation of pedagogy.

OBJECTIVES

During the distance learning phase, participants will have the opportunity to become familiar with:

• Digitization of TVET

• The ILO’s digitization reference framework

• Technological solutions for diverse types of TVET Systems, including AI

• Processes and stages of hybridization of training devices.

CONTENT

This course aims to provide the fundamental elements of digital transformation within the TVET system and to equip participants not only to initiate such changes but also to maintain their relevance in a constantly evolving technological landscape. The training will cover:

• Overview and state of play of the digitization of the main devices within the technical and vocational training and skills systems.

• Opportunities and challenges presented by AI in education.

• Decomposition of skills repositories and digitization of curricula.

• Emerging frameworks on AI in education, with a focus on ethical considerations and responsible implementation.

• Methodologies and multimodal pedagogical approaches focused on the learner.

• Key technological solutions for the digitization of TVET, augmented reality (AR) and virtual reality (VR).

• The growing market of EdTech, encompassing advanced technological solutions and innovations for education and training.