Entrepreneurship in young adults: Initial findings from the young entrepreneurs study

Adult education and entrepreneurship: getting young adults involved

This paper reflects on adult education and the fostering of an entrepreneurial mindset. It solicits roles adult education, especially the non-formal education (NFE), could play in fostering entrepreneurial mindset of young adults. It examines short-to-medium, and long-term plans of young adults in nurturing growth and enterprising mindsets through involvement in NFE endeavours. It probes into entrepreneurial opportunities and challenges in the communities that young adults could recognise and create enterprises for themselves. This is a narrative case study which purposively selected, as the unit of analysis, an adult learner who was operating a micro-enterprise and pursuing a degree programme at Accra Learning Centre. An in-depth telephone interview was conducted to garner stories and experiences young adult have had innovating with an entrepreneurial mindset. Thematic, analytical, narrative and interpretivist approaches were adapted in presenting the results. The participant had a good experience in his start up, he learned lessons, and worked hard to grow his micro-enterprises. The savings culture he built allowed him to cope with difficulties posed by Covid-19 pandemic to his micro-enterprises. Governments and stakeholders in entrepreneurship should via policy, advisory and financial support motivate young adults to invest in entrepreneurship and create sustainable jobs for themselves.

Prediction model of college students entrepreneurship ability based on artificial intelligence and fuzzy logic model

The fundamental solution to the problems of college students’ employment is to encourage college students to start their own businesses. Only by using entrepreneurship to promote employment can the real solution of China’s higher education employment problems be truly solved. Aiming at the current situation of college students’ entrepreneurship and employment, this paper builds a model system suitable for college students’ employment and entrepreneurship forecast and guidance through artificial intelligence algorithms and fuzzy logic models. The diversity-enhanced employment recommendation system developed in this paper uses the MVC three-tier architecture. Moreover, the diversity-enhanced employment recommendation system designed in this paper provides two recommendation methods: individual diversity optimization and overall diversity optimization, which takes into account the relationship between students’ personal interests and employment work. In addition, the system uses the basic idea of user-based collaborative filtering. Finally, this paper designs a control experiment to analyze the performance of this research model. The research shows that the entrepreneurship employment forecast and guidance model constructed in this paper has a certain effect.