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Smart Learning Objects for Smart Education in Computer Science

Theory, Methodology and Robot-Based Implementation

Authors:

  • Presents a methodology for creating smart learning objects and smart educational environments using robots as well as for integrating both into the real education setting

  • Includes a dedicated chapter to model the CS education domain, represented as easy cognitive feature diagrams

  • Describes the tool-based context-aware specialization of smart learning objects to support the adaptive learning in programming

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Table of contents (13 chapters)

  1. Front Matter

    Pages i-xvi
  2. SLOs Advent Context and Basics of Their Model-Driven Development

    1. Front Matter

      Pages 1-1
    2. A Vision of Smart Teaching in CS

      • Vytautas Štuikys
      Pages 3-32
    3. Reuse Framework of the LO Domain

      • Vytautas Štuikys
      Pages 55-73
    4. Modelling of CS Teaching and Learning in Large

      • Vytautas Štuikys
      Pages 75-101
    5. Model-Driven Specification in Designing Smart LOs

      • Vytautas Štuikys
      Pages 103-122
    6. Enhanced Features of SLOs: Focus on Specialization

      • Vytautas Štuikys
      Pages 141-159
    7. Context-Aware Adaptation of Smart LOs

      • Vytautas Štuikys
      Pages 161-181
  3. Fundamentals of Authoring Tools to Design SLOs, Environments and Smart Education Case Study

    1. Front Matter

      Pages 183-184
    2. Background to Design Smart LOs and Supporting Tools

      • Vytautas Štuikys
      Pages 185-209
    3. Authoring Tools to Design Smart LOs

      • Vytautas Štuikys
      Pages 211-236
    4. Authoring Tools to Specialize and Adapt Smart LOs

      • Vytautas Štuikys
      Pages 237-263
    5. Smart Education in CS: A Case Study

      • Vytautas Štuikys
      Pages 287-310
  4. Back Matter

    Pages 311-317

About this book

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.

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)

Authors and Affiliations

  • Kaunas University of Technology, Department of Software Engineering, Kaunas, Lithuania

    Vytautas Štuikys

Bibliographic Information

  • Book Title: Smart Learning Objects for Smart Education in Computer Science

  • Book Subtitle: Theory, Methodology and Robot-Based Implementation

  • Authors: Vytautas Štuikys

  • DOI: https://doi.org/10.1007/978-3-319-16913-2

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer International Publishing Switzerland 2015

  • Hardcover ISBN: 978-3-319-16912-5Published: 10 June 2015

  • Softcover ISBN: 978-3-319-38663-8Published: 17 October 2016

  • eBook ISBN: 978-3-319-16913-2Published: 31 May 2015

  • Edition Number: 1

  • Number of Pages: XVI, 317

  • Number of Illustrations: 54 b/w illustrations, 28 illustrations in colour

  • Topics: Programming Techniques, Educational Technology, Computers and Education, Artificial Intelligence, Simulation and Modeling

Buy it now

Buying options

eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book USD 54.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access