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Beschreibung
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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Technische Daten


Erscheinungsdatum
29.10.2022
Sprache
Englisch
EAN
9783031152658
Herausgeber
Springer International Publishing
Serien- oder Bandtitel
Advances in Analytics for Learning and Teaching
Sonderedition
Nein
Autor
Sofia Mougiakou, Dimitra Vinatsella, Demetrios Sampson, Zacharoula Papamitsiou, Michail Giannakos, Dirk Ifenthaler
Seitenanzahl
238
Einbandart
Gebundene Ausgabe
Autorenporträt
Sofia Mougiakou is a Computer Science teacher in secondary education since 1996. She holds a B.Sc. in “Informatics and Telecommunications” (November 1994) from the Department of Informatics and Telecommunications of the National and Kapodistrian University of Athens, Greece, a M.Sc. in “Electronic Automation” (June 1998) from the Department of Informatics and Telecommunications, National and Kapodistrian University of Athens, Greece, as well as a M.Sc. with distinction in e-Learning from the Department of Digital Systems, University of Piraeus, Greece (June 2020). She has two years of administrative experience as a high school principal and 10 years as Head of the Center of Informatics and New Technologies of the Directorate of Secondary Education of Piraeus. She has 15 years of teaching experience as a computer science teacher in secondary education. She participated as a member of the Education Committee in two co-funded European projects for teachers’ professional development, as well as in the Learn2Analyze project (Erasmus+ Knowledge Alliance Program). She has several conference publications regarding the exploiting of blended learning using the Moodle Learning Platform at the high-school level. Currently, she is a Ph.D. Candidate at the Department of Digital Systems, University of Piraeus, Greece.
Schlagwörter
Open Access, Educational Data Analytics, Learning Analytics, Teaching Analytics, Instructional design, Evidence based education, Teachers' competence
Thema-Inhalt
JNV - Lehrmittel, Lerntechnologien, E-Learning UN - Datenbanken
Höhe
235 mm
Breite
15.5 cm

Hersteller: Springer, Europaplatz 3, Heidelberg, Deutschland, 69115, ProductSafety@springernature.com, Springer Nature Customer Service Center GmbH

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