• Produktbild: Didactics of Smart Pedagogy
  • Produktbild: Didactics of Smart Pedagogy

Didactics of Smart Pedagogy Smart Pedagogy for Technology Enhanced Learning

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Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

06.12.2018

Abbildungen

XXXV, 81 illus., 59 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen

Herausgeber

Linda Daniela

Verlag

Springer

Seitenzahl

478

Maße (L/B/H)

24.1/16/3.4 cm

Gewicht

924 g

Auflage

1st ed. 2019

Sprache

Englisch

ISBN

978-3-030-01550-3

Beschreibung

Rezension

“This book arrives with timely advice about the future of education. … This book is for educators who aspire to be artists with technology enhanced learning.” (Ernest Hughes, Computing Reviews, April 18, 2019)

Portrait

Linda Daniela is a Professor in the Faculty of Education, Psychology, and Art at the University of Latvia in Riga.

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

06.12.2018

Abbildungen

XXXV, 81 illus., 59 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen

Herausgeber

Linda Daniela

Verlag

Springer

Seitenzahl

478

Maße (L/B/H)

24.1/16/3.4 cm

Gewicht

924 g

Auflage

1st ed. 2019

Sprache

Englisch

ISBN

978-3-030-01550-3

Herstelleradresse

Springer-Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE

Email: ProductSafety@springernature.com

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  • Produktbild: Didactics of Smart Pedagogy
  • Produktbild: Didactics of Smart Pedagogy
  • Provisional Table of Contents for the volume:

     

    1. Principles of teaching and learning in the context of smart pedagogy

    In this chapter pedagogical principles will be provided for teaching and learning in transformative situations when there are no borders of time and space for learning. It will also provide ideas to ensure that the learning process is meaningful, what didactical principles can be used and how to evaluate a common core curriculum. Critical analyses of didactical principles which were used for previous generations will be discussed to provide insight into didactical principles which can still be used in a transformative educational environment.

    1. Learning theories in context of smart pedagogy.

    This chapter will analyse learning theories from the perspective of emerging technology and technological solutions used in the educational process. It will critically discuss the learning principles used, learning outcomes and cognitive development in several learning theories: Active learning; Blended learning; Personalised learning; Adaptive learning; Project based learning; Assisted learning; Collaborative learning; Problem based learning; Experiential learning; Game based learning etc.

    1. Cognitive development in the context of smart pedagogy

    This chapter will explore developmental theories about different age groups to provide ideas for pedagogy to ensure cognitive development of learners in open educational environments rich with technologies and technological solutions. In an era when cognitive process are influenced by the possibility to access new information every moment, we require pedagogical solutions to provide age-appropriate learning. Some research shows that attention span is shortened and memory work load is significantly changed so this chapter will illustrate how to work with learners to provide metacognitive development in digital environments.

    1. Knowledge construction principles

    In this chapter there we will analyse knowledge construction principles for digital natives—those born in an environment full of technologies – sometimes also called generation 4.0, generation Z or the digital generation. We will examine knowledge construction principles according to ideas of Constructivism; Social constructivism; Neo-social constructivism; Constructionism

    1. Motivation

    In this chapter we will discuss motivation theories in the sense of transformed educational processes. We will cover ideas on how motivation to learn can be ensured and how to construct knowledge when learners are responsible actors in these processes. It is well known that motivation is connected with self-esteem when positive reinforcements play a role to develop it. In this new pedagogical paradigm with changed principles of cognitive development and when learning processes are self-directed, motivation is mostly developed by learners themselves. This principle works for well-motivated learners but it doesn’t work for learners with developed avoidance motivation. There will be summarised ideas to motivate all learners to learn and construct their knowledge.

    1. Sensor (motor) development in smart learning environments

    In this chapter there will be discussions about the challenges of sensor (motor) development in technology-enriched educational environments and ideas on how to use virtual technologies, wearables etc., to ensure that risks are diminished.