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This book will provide readers with an understanding of the
employability concept and develop an employability skills
improvement model to enhance the employability of built environment
graduates to foster economic development. The developed model
determines the influence of generic skills, discipline specific
skills, work-integrated learning, emotional intelligence,
university-industry collaboration outcomes and 4IR knowledge in
predicting the outcomes of improved graduate employability. The
model is developed with a theoretical lens on existing frameworks
of employability and skills development. Whilst drawing comparisons
with countries such as the UK, USA, Australia and Canada, the
authors present the results of a two-stage Delphi survey in South
Africa as a case study on the current state of skills development
and on the skills of the future. The case study is presented in
line with the South Africa's long-term National Development Plan
(NDP) aimed at developing the key capabilities and skills of its
citizens by ensuring quality education on a broader scale by 2030.
As automation continues to rapidly advance, the pressures on
universities to revamp and restructure their curricula have become
increasingly necessary. This book recommends that higher education
institutions urgently need to intensify their efforts by
introducing significant modifications to the science and technology
curriculum to enable students to develop and acquire competencies
in the rapidly emerging areas of artificial intelligence, data
science, robotics, advanced simulation, data communication, system
automation, real-time inventory operations, cloud computing, and
information technologies. This implies that universities'
curriculum should be infused with 4IR thinking within the
conventional primary sciences of biology, chemistry, and physics,
with greater emphasis on digital literacy to boost 4IR
understanding amongst the graduates. The book is therefore of
interest to researchers and policy makers in the built environment
that are placed in academia, the construction industry or at
consultancy levels, it provides significant recommendations for
universities as they intensify their efforts to develop graduates
for the future.
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