Smart STEM-Driven Computer Science Education : Theory, Methodology and Robot-based Practices / by Vytautas Štuikys, Renata Burbaitė.

Format:

Book

Author/Creator:

Štuikys, V. (Vytautas), author.

Burbaitė, Renata, author.

Contributor:

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Language:

English

Subjects (All):

Computers, Special purpose.

Educational technology.

Artificial intelligence.

Special Purpose and Application-Based Systems.

Educational Technology.

Artificial Intelligence.

Local Subjects:

Special Purpose and Application-Based Systems.

Educational Technology.

Artificial Intelligence.

Physical Description:

1 online resource (XVII, 368 pages) : 118 illustrations

Edition:

First edition 2018.

Contained In:

Springer eBooks

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2018.

System Details:

text file PDF

Summary:

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 on data 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, id est researchers, designers, teachers and learners.

Contents:

Part 1: Introduction: Motivation, Challenges, and Conceptual Vision of STEM-Driven CS Education Based on Robotics

Challenges of STEM-Driven Computer Science (CS) Education

A Vision for Introducing STEM into CS Education at School

Smart Devices and Educational Robotics as Technology for STEM Knowledge

Part 2: Methodological and Theoretical Background of Approaches to Implement the Proposed Vision

A Methodological Background for STEM-Driven Reuse-Enhanced CS Education 60

Theoretical Background to Implement STEM-Driven Approaches

Part 3: Design, Re-Design and Use of Smart Content for STEM-Driven CS Education

Understanding of Smart Content for STEM-Driven CS Education

Model-Driven Design and Re-Design of Smart STEM-Driven CS Content

Stage-Based Smart Learning Objects: Adaptation Perspective

Agent-Based GLOs/SLOs for STEM

Part 4: Infrastructure to Support STEM-Driven CS Educational Practice

Personal Generative Library for STEM-Driven Educational Resources

A Methodology and Tools for Creating Generative Scenario for STEM

Smart STEM-Driven Educational Environment for CS Education: A Case Study

Practice of Smart STEM-Driven CS Education at High School

Part 5:An Extended Vision to STEM-Driven CS Education.-Internet-of-Things: A New Vision for STEM and CS Education

A Finalizing Discussion and Open Issues

Glossary

Indexes.

Other Format:

Printed edition:

ISBN:

978-3-319-78485-4

9783319784854

9783319784847

9783319784861

9783030087104

Access Restriction:

Restricted for use by site license.