Higher Education and the Future of Graduate Employability
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Higher Education and the Future of Graduate Employability

A Connectedness Learning Approach

Edited by Ruth Bridgstock and Neil Tippett

This book challenges the dominant ‘employability skills’ discourse by exploring socially connected and networked perspectives to learning and teaching in higher education. Both learning and career development happen naturally and optimally in ecologies, informal communities and partnerships. In the digital age, they are also highly networked. This book presents ten empirical case studies of educational practice that investigate the development of learner capabilities, teaching approaches, and institutional strategies in higher education, to foster lifelong graduate employability through social connectedness.
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Chapter 12: Developing a connected learning community for social entrepreneurship through university and high school collaboration

Jeremy Kerr, Natalie Wright and Timothy Barraud


Just as universities are exploring and implementing new pedagogic strategies and extending learning networks with the aim of preparing students for future pathways and developing twenty-first century skillsets, so too are secondary schools. Mutually beneficial sharing of these strategies was the key aim of a unique, co-curricular design-led social entrepreneurship program initiated by a secondary school and developed through collaboration with a university partner in Queensland, Australia. This pioneering extended learning community was built upon a framework of connectedness and design thinking, to inform innovative, transdisciplinary program design and delivery. This chapter discusses the creation, implementation and evaluation of this experimental program, and identifies the connectedness capabilities developed by the students and teachers involved. The study serves to provide an evidence base for the conceptualisation of new collaborations between universities and partnering educational institutions, and the application of connectedness learning.

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