Smart hospitality Academy is an advanced sample how highest smart approach could be applied to nowadays ones of the most challenged fields of tourism service and education. Face to economy stagnation, climate change, migration, wars and serial pandemic, especially nowadays COVID-19 hospitality business service meets giant troubles and needs innovative approaches and changes. European Innovation Union suggestions to use scientific innovations are the most actual and applicable in hospitality sector. In this case Lithuanian, Estonian, Greek and Spanish adult learning developers initiated this learning methodology for trainers under Erasmus+ project support.
The methodology consists of smart hospitality business service and learning essence, structure, links discovering and positioning on historic qualitative trends from Past, trough Nowadays and Future. Applied Circular Economy 3.0 approach enabled specify quality leaps of physical, economic, green, sustainable and smart growth of tourism entities, to form smart tourism principles and advanced innovation of overall service cycle innovation steps: marketing, communication, accommodation, catering, wellness and local transportation.
Trainers were armed with clear education and Self-Improvement virtual models enabled to apply its flexibility in learning process depending of situation and target groups. The content of SH learning presented as transition from academic scholastic to virtual self-improvement. The form of SH education is presented in face-to-face, blended learning and virtual self-education. Practical part of the programme consists of 24 academic hours course, which consist of 6 SH learning modules: marketing innovation, communication innovation, accommodation innovation, catering innovation, wellness innovation, local transportation innovation. The toolboxes with large best practice materials, simulators and self-assessment tools lets trainers to arrange advanced learning and self-improvement courses on Smart hospitality
The learning programme is reachable as best practice data and whole methodology and learning models description in English and project partners languages: