Title: Data set requirements for multilingual learning analytics

Authors: Giannis Stoitsis; Nikos Manouselis; Salvador Sanchez-Alonso

Addresses: Computer Science Department, Universidad de Alcala, 28871 Alcala de Henares, Madrid, Spain; Agro-Know Technologies, 17 Grammou Str. 15235, Vrilissia, Athens, Greece. ' Agro-Know Technologies, 17 Grammou Str. 15235, Vrilissia, Athens, Greece. ' Computer Science Department, Universidad de Alcala, 28871 Alcala de Henares, Madrid, Spain

Abstract: The availability of multilingual data sets can be pivotal for learning analytics' research that is trying to investigate issues related to the use of multiple languages. Nevertheless, existing data sets store limited information about the linguistic environment in which users interact with TEL applications. This paper tries to identify which data variables and properties make sense in a multilingual analysis context, by examining the case of data coming from a learning portal. More specifically, it analyses the log files of a web portal for organic and sustainable agriculture education, trying to identify whether its linguistic profile (i.e. language of interface, metadata records and learning resources) may affect the number of the users that is attracted and their search behaviour. The paper also includes some generic recommendations related to the information that data sets could store to facilitate multilingual learning analytics.

Keywords: learning analytics; multilingual data sets; multilinguality; web portals; internet; world wide web; multiple languages; linguistic environments; user interactions; data variables; data properties; multilingual analysis; learning portals; log files; organic agriculture; sustainable agriculture; agricultural education; linguistic profiles; interface languages; metadata records; learning resources; user numbers; search behaviour; information storage; generic recommendations; agroecology; Organic Edunet; higher education; universities; Greece; technology enhanced learning; dataTEL; data-supported learning; R&D; research and development.

DOI: 10.1504/IJTEL.2012.048316

International Journal of Technology Enhanced Learning, 2012 Vol.4 No.1/2, pp.47 - 66

Received: 16 Apr 2012
Accepted: 17 May 2012

Published online: 31 Dec 2014 *

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