The guide “Digitalisation and Blending of Training Programmes” presents a six-step roadmap designed to help training providers effectively transition to digital and blended learning models. This transformation is driven by the need for ongoing upskilling and reskilling in response to rapid technological advancements, especially in digitalisation and artificial intelligence. The guide emphasises moving beyond traditional classroom-based methods toward a more flexible, learner-centered approach. It promotes the use of digital tools not just for efficiency but to create more engaging and accessible lifelong learning experiences.
The first two steps in the roadmap focus on evaluating the current digital readiness of training systems and selecting which programs should be prioritised for digitalisation. Training providers are encouraged to assess their internal capabilities and external digital infrastructure through participatory self-assessment and readiness analysis. They must then determine which courses or competencies are most relevant to the job market by analysing graduate outcomes, labour market needs, and employer feedback.
The next steps involve developing blended learning scenarios and designing appropriate content. Providers are guided to identify which parts of a course can be effectively delivered digitally. Emphasis is placed on learner-centered design, scenario-based learning, and the inclusion of soft skills such as teamwork and communication. Multimedia tools, Learning Management Systems (LMSs), and Open Educational Resources (OERs) are recommended to create engaging, inclusive, and accessible content.
Finally, the guide outlines how to assess learners in blended programs and establish a feedback loop for continuous improvement. A range of digital and face-to-face assessment methods are suggested to evaluate both theoretical knowledge and practical competencies, with careful consideration to ensure technology enhances rather than impedes learning. The feedback loop includes collecting and analysing data, adjusting content and delivery, and regularly evaluating results. This ongoing process helps institutions refine their programs to meet evolving learner and industry needs while maintaining quality and relevance in a digital age.