Emerging trends in learning analytics. Leveraging the power of education data.

Sonst. Personen	Khine, Myint Swe (Hrsg.)
Titel	Emerging trends in learning analytics. Leveraging the power of education data.
Quelle	Leiden: Brill Sense (2019), XVII, 285 S.Verfügbarkeit
Reihe	Contemporary approaches to research in learning innovations. 12
Beigaben	Illustrationen
Sprache	englisch
Dokumenttyp	gedruckt; Monographie
ISBN	978-90-04-39926-6
Schlagwörter	Systematic Review; Lernerfolg; Lernen; Lernerfahrung; Lernprozess; Lernumgebung; Computerunterstützter Unterricht; Diskursanalyse; Datenanalyse; Datenerfassung; Messung; Forschungsstand; E-Learning; Implementierung; Literaturbericht; Informationsmanagement; Australien; Deutschland; Japan; Korea, Republik; USA
Abstract	The term 'learning analytics' is defined as the measurement, collection, analysis, and reporting of information about learners and their contexts for the purposes of understanding and optimizing learning. In recent years learning analytics has emerged as a promising area of research that trails the digital footprint of the learners and extracts useful knowledge from educational databases to understand students' progress and success. With the availability of an increased amount of data, potential benefits of learning analytics can be far-reaching to all stakeholders in education including students, teachers, leaders, and policymakers. Educators firmly believe that, if properly harnessed, learning analytics will be an indispensable tool to enhance the teaching-learning process, narrow the achievement gap, and improve the quality of education. [...] This book documents recent attempts to conduct systematic, prodigious and multidisciplinary research in learning analytics and present their findings and identify areas for further research and development. The book also unveils the distinguished and exemplary works by educators and researchers in the field highlighting the current trends, privacy and ethical issues, creative and unique approaches, innovative methods, frameworks, and theoretical and practical aspects of learning analytics. (Orig.). Contents: Big data analytics in education for dynamic personalised learning design / Myint Swe Khine -- Post-traditional learning analytics : how data and information technology transform learning environment / Alexander Amigud -- The use of analytics for educational purposes : a review of literature, from 2015 to present / Min Liu, Zilong Pan, Xin Pan, Dongwook An, Wenting Zou, Chenglu Li and Yi Shi -- A snapshot of research on learning analytics : a systematic review / Selcan Kilis and Yasemin Gulbahar -- The benefits of learning analytics in open and distance education : a review of the evidence / Billy Tak-Ming Wong -- The new smarts in teaching and learning / Jon Mason, Stefan Popenici, Leigh Blackall and Peter Shaw -- Following the learners' traces : profiling learners and visualizing the learning process for building better learning experiences / Arif Altun and Mehmet Kokoc -- Analytical indicators for profiling and improving engagement and success of vulnerable participants / Mirella Atherton -- Triangulating student engagement with "built & bought" learning analytics / John Fritz and Robert Carpenter -- Implementation of a learning analytics system in a productive higher education environment / Clara Schumacher, Daniel Schon and Dirk Ifenthaler -- Discourse analysis visualization based on community of inquiry framework / Masanori Yamada, Yoshiko Goda, Kosuke Kaneko, Junko Handa and Yumi Ishige -- Learning support systems based on cohesive learning analytics / Fumiya Okubo, Masanori Yamada, Misato Oi, Atsushi Shimada, Yuta Taniguchi and Shin'ichi Konomi -- The learning analytics and flipped p b l for tool-design learning / Il-Hyun Jo -- Learning analytics cockpit for MOOC platforms / Karin Maier, Philipp Leitner and Martin Ebner.
Erfasst von	DIPF \| Leibniz-Institut für Bildungsforschung und Bildungsinformation, Frankfurt am Main
Update	2020/1