DocumentCode
2195740
Title
Adaptive Social Media Skills Trainer for Vocational Education and Training: Concept and Implementation of a Recommender System
Author
Di Valentin, Christina ; Emrich, Andreas ; Lahann, Johannes ; Werth, Dirk ; Loos, Peter
Author_Institution
German Res. Center for Artificial Intell. (DFKI), Inst. for Inf. Syst. (IWi), Saarbrucken, Germany
fYear
2015
fDate
5-8 Jan. 2015
Firstpage
1951
Lastpage
1960
Abstract
The use of social media in the private and professional context is continuously increasing. Particularly in the private context most users are competent in dealing with these technologies. However, when it comes to apply social media in the professional context (e.g. Communicating or searching for relevant information or integrating social media in classes or the preparation of homework), most users still show a lack of competencies. Thus, students and teachers would benefit from tailored access to online educational resources such as concepts, training materials, lesson plans, tools, etc. That support the professional use of social media. This paper presents the concept and the prototypical implementation of a recommender system for vocational education that fosters the development of each individual´s social media skills. Hence, recommendations of social media contents are based on each individual´s social media skill level and the current step in the teaching and learning process.
Keywords
Internet; computer aided instruction; recommender systems; social networking (online); teaching; vocational training; adaptive social media skills trainer; learning process; online educational resources; professional context; recommender system; teaching process; vocational education; vocational training; Context; Media; Ontologies; Recommender systems; Training; context-sensitive learning; personalized learning; recommender systems; social media;
fLanguage
English
Publisher
ieee
Conference_Titel
System Sciences (HICSS), 2015 48th Hawaii International Conference on
Conference_Location
Kauai, HI
ISSN
1530-1605
Type
conf
DOI
10.1109/HICSS.2015.234
Filename
7070045
Link To Document