Overview
- Reviews exhaustively trends and challenges of the STEM paradigm in the context of K-12 education
- Provides a framework of integrating STEM into Computer Science (CS) education based on using robotics
- Treats from the automation perspective theoretical, methodological and practical aspects in designing, preparing and using of smart components to support STEM-driven CS education effectively
- Components include the smart generative learning content, smart generative scenario, personal generative libraries for students and teachers, all together integrated within the smart educational environment
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Table of contents (15 chapters)
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Front Matter
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Part V
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Front Matter
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Keywords
About this book
At the centre of the methodology used in this book is STEM learning variability space that includes STEM pedagogical variability, learners’ social variability, technological variability, CS content variability and interaction variability. To design smart components, firstly, the STEM learning variability space is defined for each component separately, and then model-driven approaches are applied. The theoretical basis includes feature-based modelling and model transformations at the top specification level and heterogeneous meta-programming techniques at the implementation level.
Practice includes multiple case studies oriented for solving the task prototypes, taken from the real world, by educational robots. These case studies illustrate the process of gaining interdisciplinary knowledge pieces identified as S-knowledge, T-knowledge, E-knowledge, M-knowledge or integrated STEM knowledge and evaluate smart components from the pedagogical and technological perspectives based ondata gathered from one real teaching setting. Smart STEM-Driven Computer Science Education: Theory, Methodology and Robot-based Practices outlines the overall capabilities of the proposed approach and also points out the drawbacks from the viewpoint of different actors, i.e. researchers, designers, teachers and learners.
Authors and Affiliations
Bibliographic Information
Book Title: Smart STEM-Driven Computer Science Education
Book Subtitle: Theory, Methodology and Robot-based Practices
Authors: Vytautas Štuikys, Renata Burbaitė
DOI: https://doi.org/10.1007/978-3-319-78485-4
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG, part of Springer Nature 2018
Hardcover ISBN: 978-3-319-78484-7Published: 16 July 2018
Softcover ISBN: 978-3-030-08710-4Published: 01 February 2019
eBook ISBN: 978-3-319-78485-4Published: 28 June 2018
Edition Number: 1
Number of Pages: XVII, 368
Number of Illustrations: 118 b/w illustrations
Topics: Special Purpose and Application-Based Systems, Educational Technology, Artificial Intelligence