Publication
Title
Exploration of affordances of open data for language learning and teaching
Author
Abstract
The new wave of huge data sources, also referred to as big data, entails new forms of information and content for Computer Assisted Language Learning (CALL). Open data is the latest appeal in the open data philosophy and trends. In this article, we explore the affordances of (linked) open data for education in general and for CALL in particular. Learning analytics, adaptive learning environments, and open educational resources are the obvious beneficiaries, but contextualization of the learning process appears to be a relatively unexplored affordance. And this while available literature already touts its merits.
Language
English
Source (journal)
JOURNAL OF TECHNOLOGY AND CHINESE LANGUAGE TEACHING
Publication
2018
Volume/pages
9:1(2018), p. 1-14
ISI
000437739200001
Full text (open access)
UAntwerpen
Faculty/Department
Research group
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
VABB-SHW
Web of Science
Record
Identification
Creation 02.08.2018
Last edited 14.09.2021
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