Methods for analyzing and leveraging online learning data.

Autor/in	Hai-Jew, Shalin
Titel	Methods for analyzing and leveraging online learning data.
Quelle	Hershey PA: IGI Global (2019), XVII, 436 S.Verfügbarkeit
Reihe	Advances in educational technologies and instructional design (AETID) series
Beigaben	Literaturangaben
Sprache	englisch
Dokumenttyp	gedruckt; Monographie
ISBN	9781522575283 (gebundene Ausgabe); 9781522575290 (E-Book)
Schlagwörter	Educational statistics; Statistik; Data processing; Internet in education; Management; Bildungstheorie; Bildungspraxis + Suchen Sie Ihr Suchwort? Bildungsstatistik; Datenverarbeitung; Internet; Education; Bildung; Erziehung
Abstract	Reading data possibilities from an LMS data portal data dictionary -- Five academic years of activated third-party and custom-coded applications on an LMS instance -- Exploring the common structures and sequences of real-world online learning modules -- "Conceptual reverse engineering" of online learning objects and sequences for practical applications -- Improving teaching and learning from high-level and close-in features of assignments and assessments in an LMS instance -- Creating and analyzing induced decision trees from online learning data -- Using social image sets to explore virtual embodiment in Second Life® as indicators of formal, nonformal, and informal learning -- Peripheral vision: engaging multimodal social media datasets to differentiate MOOC platforms by course offerings and us -- Datafication of the "e-learning faculty modules" for next steps -- Visual senses of "online learning" and "instructional design": social imagery as online learning data -- Using article networks on Wikipedia to explore public understandings of academic domains and address observed gaps -- Computational text analysis of the C2C digital magazine: using distant reading to understand the authors, organizational interests, and related professional -- Highlights from extracted eras of a live LMS instance -- Basic time-to-event analyses of online educational data -- An exploratory factor analysis of an open-access virtual "privilege walk" instrument -- Assessing practical accessibility in online courses based on local conditions. "This book helps lay the groundwork for how to use the large amounts of available data from the myriad online learning systems. Its approach of looking at online learning data will advance the field of online teaching, learning, and curriculum design"--Provided by publisher.
Erfasst von	Library of Congress, Washington, DC
Update	2019/2/04