Published by Springer, 2022
ISBN 10: 3031152689 ISBN 13: 9783031152689
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Published by Springer, 2022
ISBN 10: 3031152689 ISBN 13: 9783031152689
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Published by Springer 10/29/2022, 2022
ISBN 10: 3031152689 ISBN 13: 9783031152689
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Paperback or Softback. Condition: New. Educational Data Analytics for Teachers and School Leaders 0.79. Book.
Published by Springer, 2022
ISBN 10: 3031152689 ISBN 13: 9783031152689
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Published by Springer, 2022
ISBN 10: 3031152689 ISBN 13: 9783031152689
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Published by Springer, 2022
ISBN 10: 3031152654 ISBN 13: 9783031152658
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ISBN 10: 3031152689 ISBN 13: 9783031152689
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Published by Springer, 2022
ISBN 10: 3031152654 ISBN 13: 9783031152658
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Published by Springer, 2022
ISBN 10: 3031152654 ISBN 13: 9783031152658
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Published by Springer 2022-10, 2022
ISBN 10: 3031152689 ISBN 13: 9783031152689
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Published by Springer, 2022
ISBN 10: 3031152689 ISBN 13: 9783031152689
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Published by Springer International Publishing Okt 2022, 2022
ISBN 10: 3031152689 ISBN 13: 9783031152689
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Educational Data Analytics (EDA) have been attributed with significant benefits for enhancing on-demand personalized educational support of individual learners as well as reflective course (re)design for achieving more authentic teaching, learning and assessment experiences integrated into real work-oriented tasks.This open access textbook is a tutorial for developing, practicing and self-assessing core competences on educational data analytics for digital teaching and learning. It combines theoretical knowledge on core issues related to collecting, analyzing, interpreting and using educational data, including ethics and privacy concerns. The textbook provides questions and teaching materials/ learning activities as quiz tests of multiple types of questions, added after each section, related to the topic studied or the video(s) referenced. These activities reproduce real-life contexts by using a suitable use case scenario (storytelling), encouraging learners to link theory with practice; self-assessed assignments enabling learners to apply their attained knowledge and acquired competences on EDL.By studying this book, you will know where to locate useful educational data in different sources and understand their limitations; know the basics for managing educational data to make them useful; understand relevant methods; and be able to use relevant tools; know the basics for organising, analysing, interpreting and presenting learner-generated data within their learning context, understand relevant learning analytics methods and be able to use relevant learning analytics tools; know the basics for analysing and interpreting educational data to facilitate educational decision making, including course and curricula design, understand relevant teaching analytics methods and be able to use relevant teaching analytics tools; understand issues related with educational data ethics and privacy.This book is intended for school leaders and teachers engaged in blended (using the flipped classroom model) and online (during COVID-19 crisis and beyond) teaching and learning; e-learning professionals (such as, instructional designers and e-tutors) of online and blended courses; instructional technologists; researchers as well as undergraduate and postgraduate university students studying education, educational technology and relevant fields. 252 pp. Englisch.
Published by Springer, 2022
ISBN 10: 3031152654 ISBN 13: 9783031152658
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Published by Springer, 2022
ISBN 10: 3031152654 ISBN 13: 9783031152658
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Published by Springer Nature, 2022
ISBN 10: 3031152689 ISBN 13: 9783031152689
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Published by Springer, 2022
ISBN 10: 3031152689 ISBN 13: 9783031152689
Seller: GreatBookPricesUK, Castle Donington, DERBY, United Kingdom
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Published by Springer International Publishing, 2022
ISBN 10: 3031152689 ISBN 13: 9783031152689
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Educational Data Analytics (EDA) have been attributed with significant benefits for enhancing on-demand personalized educational support of individual learners as well as reflective course (re)design for achieving more authentic teaching, learning and assessment experiences integrated into real work-oriented tasks.This open access textbook is a tutorial for developing, practicing and self-assessing core competences on educational data analytics for digital teaching and learning. It combines theoretical knowledge on core issues related to collecting, analyzing, interpreting and using educational data, including ethics and privacy concerns. The textbook provides questions and teaching materials/ learning activities as quiz tests of multiple types of questions, added after each section, related to the topic studied or the video(s) referenced. These activities reproduce real-life contexts by using a suitable use case scenario (storytelling), encouraging learners to link theory with practice; self-assessed assignments enabling learners to apply their attained knowledge and acquired competences on EDL.By studying this book, you will know where to locate useful educational data in different sources and understand their limitations; know the basics for managing educational data to make them useful; understand relevant methods; and be able to use relevant tools; know the basics for organising, analysing, interpreting and presenting learner-generated data within their learning context, understand relevant learning analytics methods and be able to use relevant learning analytics tools; know the basics for analysing and interpreting educational data to facilitate educational decision making, including course and curricula design, understand relevant teaching analytics methods and be able to use relevant teaching analytics tools; understand issues related with educational data ethics and privacy.This book is intended for school leadersand teachers engaged in blended (using the flipped classroom model) and online (during COVID-19 crisis and beyond) teaching and learning; e-learning professionals (such as, instructional designers and e-tutors) of online and blended courses; instructional technologists; researchers as well as undergraduate and postgraduate university students studying education, educational technology and relevant fields.
Published by Springer, 2022
ISBN 10: 3031152689 ISBN 13: 9783031152689
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
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Published by Springer International Publishing Okt 2022, 2022
ISBN 10: 3031152654 ISBN 13: 9783031152658
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Educational Data Analytics (EDA) have been attributed with significant benefits for enhancing on-demand personalized educational support of individual learners as well as reflective course (re)design for achieving more authentic teaching, learning and assessment experiences integrated into real work-oriented tasks.This open access textbook is a tutorial for developing, practicing and self-assessing core competences on educational data analytics for digital teaching and learning. It combines theoretical knowledge on core issues related to collecting, analyzing, interpreting and using educational data, including ethics and privacy concerns. The textbook provides questions and teaching materials/ learning activities as quiz tests of multiple types of questions, added after each section, related to the topic studied or the video(s) referenced. These activities reproduce real-life contexts by using a suitable use case scenario (storytelling), encouraging learners to link theory with practice; self-assessed assignments enabling learners to apply their attained knowledge and acquired competences on EDL.By studying this book, you will know where to locate useful educational data in different sources and understand their limitations; know the basics for managing educational data to make them useful; understand relevant methods; and be able to use relevant tools; know the basics for organising, analysing, interpreting and presenting learner-generated data within their learning context, understand relevant learning analytics methods and be able to use relevant learning analytics tools; know the basics for analysing and interpreting educational data to facilitate educational decision making, including course and curricula design, understand relevant teaching analytics methods and be able to use relevant teaching analytics tools; understand issues related with educational data ethics and privacy.This book is intended for school leaders and teachers engaged in blended (using the flipped classroom model) and online (during COVID-19 crisis and beyond) teaching and learning; e-learning professionals (such as, instructional designers and e-tutors) of online and blended courses; instructional technologists; researchers as well as undergraduate and postgraduate university students studying education, educational technology and relevant fields. 252 pp. Englisch.
Published by Springer, 2022
ISBN 10: 3031152654 ISBN 13: 9783031152658
Seller: GreatBookPricesUK, Castle Donington, DERBY, United Kingdom
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Published by Springer, 2024
ISBN 10: 3031152689 ISBN 13: 9783031152689
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paperback. Condition: New. Brand New! This item is printed on demand.
Published by Springer Nature, 2022
ISBN 10: 3031152654 ISBN 13: 9783031152658
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Published by Springer, 2022
ISBN 10: 3031152689 ISBN 13: 9783031152689
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Published by Springer International Publishing, 2022
ISBN 10: 3031152654 ISBN 13: 9783031152658
Seller: AHA-BUCH GmbH, Einbeck, Germany
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Educational Data Analytics (EDA) have been attributed with significant benefits for enhancing on-demand personalized educational support of individual learners as well as reflective course (re)design for achieving more authentic teaching, learning and assessment experiences integrated into real work-oriented tasks.This open access textbook is a tutorial for developing, practicing and self-assessing core competences on educational data analytics for digital teaching and learning. It combines theoretical knowledge on core issues related to collecting, analyzing, interpreting and using educational data, including ethics and privacy concerns. The textbook provides questions and teaching materials/ learning activities as quiz tests of multiple types of questions, added after each section, related to the topic studied or the video(s) referenced. These activities reproduce real-life contexts by using a suitable use case scenario (storytelling), encouraging learners to link theory with practice; self-assessed assignments enabling learners to apply their attained knowledge and acquired competences on EDL.By studying this book, you will know where to locate useful educational data in different sources and understand their limitations; know the basics for managing educational data to make them useful; understand relevant methods; and be able to use relevant tools; know the basics for organising, analysing, interpreting and presenting learner-generated data within their learning context, understand relevant learning analytics methods and be able to use relevant learning analytics tools; know the basics for analysing and interpreting educational data to facilitate educational decision making, including course and curricula design, understand relevant teaching analytics methods and be able to use relevant teaching analytics tools; understand issues related with educational data ethics and privacy.This book is intended for school leadersand teachers engaged in blended (using the flipped classroom model) and online (during COVID-19 crisis and beyond) teaching and learning; e-learning professionals (such as, instructional designers and e-tutors) of online and blended courses; instructional technologists; researchers as well as undergraduate and postgraduate university students studying education, educational technology and relevant fields.
Published by Springer International Publishing, 2022
ISBN 10: 3031152689 ISBN 13: 9783031152689
Seller: moluna, Greven, Germany
Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Fully explains the complex ethics and privacy issues inherent in using educational data analyticsProvides guidance for teaching practical data analytics to educators and administratorsDiscusses the use of educational data analytics for both.
Published by Springer, 2022
ISBN 10: 3031152654 ISBN 13: 9783031152658
Seller: GreatBookPricesUK, Castle Donington, DERBY, United Kingdom
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Published by Springer, 2022
ISBN 10: 3031152654 ISBN 13: 9783031152658
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Published by Springer International Publishing, 2022
ISBN 10: 3031152654 ISBN 13: 9783031152658
Seller: moluna, Greven, Germany
Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Fully explains the complex ethics and privacy issues inherent in using educational data analyticsProvides guidance for teaching practical data analytics to educators and administratorsDiscusses the use of educational data analytics for both.
Published by Springer, 2022
ISBN 10: 3031152654 ISBN 13: 9783031152658
Seller: Kennys Bookstore, Olney, MD, U.S.A.
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Published by Springer International Publishing, 2022
ISBN 10: 3031117042 ISBN 13: 9783031117046
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Condition: Hervorragend. Zustand: Hervorragend | Seiten: 132 | Sprache: Englisch | Produktart: Bücher.