Educational Data Analytics for Teachers and School Leaders

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

Ngôn ngữ: eng

ISBN-13: 978-3031152665

ISBN: 978-3-031-15266-5

Ký hiệu phân loại:

Thông tin xuất bản: Cham : Springer Nature, 2023

Mô tả vật lý: 1 electronic resource (238 p.)

Bộ sưu tập: Tài liệu truy cập mở

ID: 343742

 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.
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