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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.

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Availability

No copy data

Detail Information

Series Title

Advances in Analytics for Learning and Teaching

Call Number

XII, 238

Publisher

Springer Cham : Springer Cham., 2023

Collation

-

Language

English

ISBN/ISSN

978-3-031-15266-5

Classification

NONE

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

1

Subject(s)

Education,
general
Statistics,

Specific Detail Info

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Statement of Responsibility

Sofia Mougiakou

Other Information

Cataloger

Suwardi

Source

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

Validator

Maya

Digital Object Identifier (DOI)

-

Journal Volume

-

Journal Issue

-

Subtitle

-

Parallel Title

-

Other version/related

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