An Integrated Learning Analytics Approach for Virtual Vocational Training Centers

TitleAn Integrated Learning Analytics Approach for Virtual Vocational Training Centers
Publication TypeJournal Article
Year of Publication2018
Authorsde Lange, P., A. T. Neumann, P. Nicolaescu, and R. Klamma
JournalInternational Journal of Interactive Multimedia and Artificial Intelligence
ISSN1989-1660
IssueSpecial Issue on Big Data and Open Education
Volume5
Number2
Date Published09/2018
Pagination32-38
Abstract

Virtual training centers are hosted solutions for the implementation of training courses in the form of e.g. Webinars. Many existing centers neglect the informal and social dimension of vocational training as well as the legitimate business interests of training providers and companies sending their employees. In this paper, we present the virtual training center platform V3C that blends formal, certified virtual training courses with self-regulated and social learning in synchronous and asynchronous learning phases. We have developed an integrated learning analytics approach to collect, store, analyze and visualize data for different purposes like certification, interventions and gradual improvement of the platform. The results given here demonstrate the ability of the platform to deliver data for key performance indicators like learning outcomes and drop-out rates as well as the interplay between synchronous and asynchronous learning phases on a very large scale. Since the platform implementation is open source, results can be easily transferred and exploited in many contexts.

KeywordsBlended Learning, Learning Analytics, Virtual Vocational Training
DOI10.9781/ijimai.2018.02.006
URLhttp://www.ijimai.org/journal/sites/default/files/files/2018/02/ijimai_5_2_4_pdf_97157.pdf
AttachmentSize
ijimai_5_2_4.pdf1.04 MB