Outcome analysis of the courses for the ScanBalt Educational Platform
The potential development of entrepreneurial competencies are on the agenda for Europe and several of the Baltic Sea Region states have included innovation and entrepreneurship in their national agendas, as in Sweden. Along with the education in entrepreneurship the pedagogy used, the entrepreneurial education to raise the interest, change the attitude and develop an entrepreneurial culture are essential.
Entrepreneurial education is complex and has to be ‘classified’ to increase the understanding, on purpose, to be distinguished between different activities in terms of degree of motivation for the learner (student) as well as in terms of complexity for the teacher.This can help educators’ and mentors judgment of which class of activity to optimal for in any given situation depending on purpose, ability, resource access, interest and context. To increase the leaning outcome the education and the courses have to based on core subject knowledge for the teacher, learner and mentor.
The entrepreneurial learning should involve besides the knowledge and skills, important changes in the attitude, as the formation of the identity, self-efficacy, increased tolerance for failure and self-insight. Action based education therefore seems to be the best way to convey and form these insights, and to improve the performance of the local cluster, the education in a cluster situation seems to favour the development in several aspects.
Developing the portfolio of courses for the ScanBalt Educational Platform (SBEP), earlier studies and reports available for the HealthPort project have been used to combine different courses based on action based pedagogy with a portfolio that will attract interest from companies, health care organisations and academia and that will counter the challenges that has been identified to increase the competitiveness of SME’s in the Baltic region, hence their possibility to reach commercial Marketplaces.
Read the out come analysis here
16 May 2023
Workshop"AI in clinical diagnostics: challenges and opportunities"| 7 June 2023 17:30-19:00 CET (Hybrid)