Electronic Resource

Educational Data Analytics for Teachers and School Leaders

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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.

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Availability

Detail Information

Series Title

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Call Number

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Publisher

: Springer Cham., 2023

Collation

XII, 238 hlm ill; lamp

Language

English

ISBN/ISSN

9783031152665

Classification

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Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

1

Subject(s)

Education, general

Statistics, general

Specific Detail Info

Fully explains the complex ethics and privacy issues inherent in using educational data analytics Provides guidance for teaching practical data analytics to educators and administrators Discusses the use of educational data analytics for both online and blended learning

Statement of Responsibility

Sofia Mougiakou , Dimitra Vinatsella , Demetrios Sampson , Zacharoula Papamitsiou , Michail Giannakos , Dirk Ifenthaler

Other Information

Cataloger

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Source

https://link.springer.com/book/10.1007/978-3-031-15266-5

Validator

ida

Digital Object Identifier (DOI)

https://doi.org/10.1007/978-3-031-15266-5

Journal Volume

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Journal Issue

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Subtitle

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Parallel Title

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Other version/related

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