Using online presence data for recommending human resources in the OP4L project
Date Issued
2012-09-18
Author(s)
Grandbastien, Monique
Nowakowski, Samuel
Jovanovic, Jelena
Abstract
In order to help and support learning practices, the development of web-based
Personal Learning Environments (PLE) is widely adopted. A PLE is a set of
services customized by the student. Among these services, resource (either digital or human) recommendation is a crucial one. The paper briefly reviews existing approaches for recommending resources in PLE. Then it describes a novel
approach implemented in the OP4L prototype. OP4L is combining Social Web
presence data and semantic web technologies, based on an intensive use of ontological models to represent the learning context. Then the paper reports about
qualitative studies that were conducted with students on the currently available
version of the OP4L prototype. The aim of the study was to get students’ feedbacks about new online presence services offered in a LMS.
Personal Learning Environments (PLE) is widely adopted. A PLE is a set of
services customized by the student. Among these services, resource (either digital or human) recommendation is a crucial one. The paper briefly reviews existing approaches for recommending resources in PLE. Then it describes a novel
approach implemented in the OP4L prototype. OP4L is combining Social Web
presence data and semantic web technologies, based on an intensive use of ontological models to represent the learning context. Then the paper reports about
qualitative studies that were conducted with students on the currently available
version of the OP4L prototype. The aim of the study was to get students’ feedbacks about new online presence services offered in a LMS.
Subjects
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OP4L-RecSysTEL-29-07.pdf
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