Assessment of the Most Relevant Learning Object Metadata - Relieving the Learner-User from Information Overload

Alessandro da Silveira Dias, Leandro Krug Wives

2018

Abstract

E-learning systems created new learning spaces and enabled users to participate more actively in the construction of their own knowledge. In these, users can learn in a self-directed way, make choices regarding their learning depending on the possibilities provided by the system. One of the most important choices is "how to learn", which in this work corresponds to which learning object the user will choose. For this, the user, considering of a list of relevant learning objects, uses their metadata to make a decision. The problem is that current metadata standards have many types of information, so, the user suffers from the metadata information overload. For relieving the user, this work assesses the most relevant metadata from a set of learning objects and ranks them based on this assessment. A case study was conducted to show the application of this ranking on the AdaptWeb® e-learning system and indicated that the vast majority of subjects did not suffer from the metadata overload.

Paper Citation

in Harvard Style

da Silveira Dias A. and Krug Wives L. (2018). Assessment of the Most Relevant Learning Object Metadata - Relieving the Learner-User from Information Overload.In Proceedings of the 10th International Conference on Computer Supported Education - Volume 1: CSEDU, ISBN 978-989-758-291-2, pages 175-182. DOI: 10.5220/0006660601750182

in Bibtex Style

@conference{csedu18,
author={Alessandro da Silveira Dias and Leandro Krug Wives},
title={Assessment of the Most Relevant Learning Object Metadata - Relieving the Learner-User from Information Overload},
booktitle={Proceedings of the 10th International Conference on Computer Supported Education - Volume 1: CSEDU,},
year={2018},
pages={175-182},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006660601750182},
isbn={978-989-758-291-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 10th International Conference on Computer Supported Education - Volume 1: CSEDU,
TI - Assessment of the Most Relevant Learning Object Metadata - Relieving the Learner-User from Information Overload
SN - 978-989-758-291-2
AU - da Silveira Dias A.
AU - Krug Wives L.
PY - 2018
SP - 175
EP - 182
DO - 10.5220/0006660601750182