×
This paper presents a flexible and semi-automatic extractor to build personalized learning objects. The extraction is made using an ontology and a matching ...
This paper presents a flexible and semi-automatic extractor to build personalized learning objects. The extraction is made using an ontology and a matching.
This paper presents a flexible and semi-automatic extractor to build personalized learning objects. The extraction is made using an ontology and a matching ...
The approach presented in this paper is intended for the semi-automatic construction of a learning object repository from HTML pages.
The approach presented in this paper is intended for the semi-automatic construction of a learning object repository from HTML pages.
We present a case study that integrates recommendation support for sequencing activities as well as associated resources in the LAMS learning activity ...
This paper presents an ontology-based system designed to facilitate the reuse and personalization of the components of HTML learning resources.
This paper presents a flexible and semi-automatic extractor to build personalized learning object... more This paper presents a flexible and semi-automatic ...
... A Semi-Automatic Tool for Personalizing and Reusing Web Learning Resources · A Semi-Automatic Tool for Personalizing and Reusing Web Learning Resources.
Resource collection is based on the reuse of pedagogical materials going through a semi-automatic annotation process. We describe here our ontological ...