Smart Learning Objects for Smart Education in Computer Science: Theory, Methodology and Robot-Based Implementation is published by Springer on June 1, 2015. This book has 317 pages in English, ISBN-10 3319169122, ISBN-13 978-3319169125. PDF is available for download below.
Smart Learning Objects for Smart Education in Computer Science: Theory, Methodology and Robot-Based Implementation.
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.