Teaching linked open data using open educational resources
Publication date
2016-03-19
Document type
Book part
Author
Organisational unit
Karlsruhe Institute of Technology
Scopus ID
Publisher
Springer
Series or journal
Lecture Notes in Computer Science
ISSN
E-ISSN
Periodical volume
9500
Book title
Open Data for Education
ISBN
First page
135
Last page
152
Peer-reviewed
✅
Part of the university bibliography
Nein
Language
English
Keyword
Big data
Data Science
Ebook
Linked open data
Massive open online course
Open educational resource
Abstract
Recent trends in online education have seen the emergence of Open Educational Resources (OERs) and Massive Open Online Courses (MOOCs) as an answer to the needs of learners and educators for open and reusable educational material, freely available on the web. At the same time, Big Data and the new analytics and business intelligence opportunities that they offer are creating a growing demand for data scientists possessing skills and detailed knowledge in this area. This chapter presents a methodology for the design and implementation of an educational curriculum about Linked Open Data, supported by multimodal OERs. These OERs have been implemented as a combination of living learning materials and activities (eBook, online courses, webinars, face-to-face training), produced via a rigorous process and validated by the data science community through continuous feedback.
Version
Not applicable (or unknown)
Access right on openHSU
Metadata only access