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This monograph presents the challenges, vision and context to
design smart learning objects (SLOs) through Computer Science (CS)
education modelling and feature model transformations. It presents
the latest research on the meta-programming-based generative
learning objects (the latter with advanced features are treated as
SLOs) and the use of educational robots in teaching CS topics. The
introduced methodology includes the overall processes to develop
SLO and smart educational environment (SEE) and integrates both
into the real education setting to provide teaching in CS using
constructivist and project-based approaches along with evaluation
of pedagogic outcomes. Smart Learning Objects for Smart Education
in Computer Science will appeal to researchers in CS education
particularly those interested in using robots in teaching, course
designers and educational software and tools developers. With
research and exercise questions at the end of each chapter students
studying CS related courses will find this work informative and
valuable too.
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