Paper Info
Title
Adaptive recommendations to foster social media skills in teaching and learning scenarios
Abstract
The use of social media in the private context is increasing. However, when it comes to integrate social media into everyday vocational life many persons still lack the necessary skills. One reason is that the training of social media skills is not yet sufficiently integrated into the processes of vocational education. Both, students and teachers would therefore benefit from tailored access to online educational resources (e.g. concepts, training materials, lesson plans, tools etc.) which support their professional use of social media. This paper presents a web-based recommender system, called Social Navigator, providing access to respective educational resources for teachers, trainers and students of vocational education. The system adapts to the social media skills of all stakeholders and recommends appropriate online resources. In doing so, the system helps to individually foster the social media skills of all stakeholders which are classified into the ability to search, select, manage, create, communicate and comment information in the social web. First, the concept of the Social Navigator is explained followed by the filters and rankers that are needed to adjust search and recommendations results according to each individual's social media skill level.
Year
DOI
Venue
2014
10.1145/2637748.2638434
I-KNOW
Keywords
Field
DocType
design,personalized learning,human factors,miscellaneous,recommender systems,social media,context sensitive learning
Recommender system,Vocational education,Social media,Social web,Knowledge management,Psychology,Social learning,Personalized learning,Social computing,Social competence
Conference
Citations 
PageRank 
References 
0
0.34
3
Authors
7
Name
Order
Citations
PageRank
Christina Di Valentin1176.03
Andreas Emrich22710.51
Johannes Lahann300.68
Michael Schmidt410411.66
uta schwertel513919.77
dirk werth620242.72
Peter Loos7146.45