Mentor: A Hybrid Recommender System in Order to Support Teachers in Learning Design Authoring Process

Author

Karga, Soultana ; Satratzemi, Maya

Author_Institution

Dept. of Appl. Inf., Univ. of Macedonia, Thessaloniki, Greece

fYear

2014

fDate

7-10 July 2014

Firstpage

522

Lastpage

523

Abstract

Current trends in education have already led to a redefinition of the teachers´ role from mere providers of knowledge to learning designers. The process of Learning Design (LD) authoring is essential for the success of teachers in their new role. The present article introduces Mentor, a hybrid Recommender System (RS) that exploits existing LDs, compatible with the IMS LD specification, in order to support teachers by recommending templates to aid the LD authoring process. Currently, we are implementing Mentor as a recommendation service within LAMS so as to be valuable and useful to teachers´ communities.

Keywords

authoring systems; learning management systems; recommender systems; teacher training; IMS LD specification; LAMS; LD authoring process; Mentor; RS; hybrid recommender system; knowledge providers; learning design authoring; learning designers; recommendation service; teacher communities; teacher role; template recommendation; Analytical models; Communities; Context; Education; Market research; Recommender systems; Tagging; Hybrid Recommender System; Learning Design; Social Tagging; Template Recommendation;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Learning Technologies (ICALT), 2014 IEEE 14th International Conference on

Conference_Location

Athens

Type

conf

DOI

10.1109/ICALT.2014.154

Filename

6901529