Smart Learning Objects for Smart Education in Computer Science: Theory, Methodology and Robot-based Implementation

Smart Learning Objects for Smart Education in Computer Science: Theory, Methodology and Robot-based Implementation

by Vytautas Štuikys (Author)

Synopsis

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.

$124.93

Quantity

20+ in stock

More Information

Format: Hardcover
Pages: 336
Edition: 2015
Publisher: Springer
Published: 10 Jun 2015

ISBN 10: 3319169122
ISBN 13: 9783319169125

Media Reviews

The book is an important contribution on the way to the standardization of e-learning. I would recommend it to instructors from all STEM disciplines who are interested in innovative teaching methods and e-learning. (Computing Reviews, June, 2017)

It presents the objectives and challenges involved in designing smart learning objects (SLOs) through CS education modeling feature model transformations. ... should be useful to anyone using robots in teaching CS. It will also help those who build educational software. Students will benefit from the exercises at the end of each chapter. (Soubhik Chakraborty, Computing Reviews, September, 2015)