Educational data analytics for teachers and school leaders.

Autor/inn/en	Mougiakou, Sofia; Vinatsella, Dimitra; Sampson, Demetrios G.; Papamitsiou, Zacharoula; Giannakos, Michail; Ifenthaler, Dirk
Titel	Educational data analytics for teachers and school leaders.
Quelle	Cham: Springer International Publishing (2023), xii, 238 S. PDF als Volltext kostenfreie Datei (1); PDF als Volltext kostenfreie Datei (2) Link als defekt meldenVerfügbarkeit
Reihe	Advances in analytics for learning and teaching
Beigaben	Illustrationen; Diagramme; Tabellen
Zusatzinformation	Zusammenfassung
Sprache	englisch
Dokumenttyp	online; gedruckt; Monographie
ISBN	978-3-031-15266-5; 978-3-031-15268-9
DOI	10.1007/978-3-031-15266-5
Schlagwörter	Bildung; Kompetenz; Bildung; Datenschutz; Ethik; Organisation; Technologie; Unterricht; Interpretation; Analyse; Datenanalyse; Digitalisierung; Lehrbuch; Kompetenz; Präsentation; Daten; Unterstützung; E-Learning; Lernprozess; Lernumgebung; Lehrbuch; Unterricht; Datenanalyse; Digitalisierung; Technologie; Ethik; Datenschutz; Blended Learning; E-Learning; Analyse; Daten; Interpretation; Organisation; Präsentation; Unterstützung
Abstract	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, the reader 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. (DIPF/Orig.).
Erfasst von	DIPF \| Leibniz-Institut für Bildungsforschung und Bildungsinformation, Frankfurt am Main
Update	2023/1