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Authors: Vladimir Estivill-Castro 1 ; Matteo Lombardi 2 and Alessandro Marani 2

Affiliations: 1 Department of TIC, University Popeu Fabra, Barcelona 08018 and Spain ; 2 School of ICT, Griffith University, Nathan Campus, Brisbane 4111 and Australia

ISBN: 978-989-758-367-4

ISSN: 2184-5026

Keyword(s): Information Technologies Supporting Teaching and Learning, Content Development, Filtering, Feature Selection, Purpose vs Topic.

Related Ontology Subjects/Areas/Topics: Authoring Tools and Content Development ; Computer-Supported Education ; e-Learning ; Information Technologies Supporting Learning

Abstract: Search engines and recommender system take advantage of user queries, characteristics, preferences or perceived needs for filtering results. In contexts such as education, considering the purpose of a resource is also fundamental. A document not suitable for learning, although well related to the query, should never be recommended to a student. However, users are currently obliged to spend additional time and effort for matching the machine-filtered results to their purpose. This paper presents a method for automatically filtering web-pages according to their educational usefulness. Our ground truth is a dataset where items are web-pages classified as relevant for education or not. Then, we present a new feature selection method for lowering the number of attributes of the items. We build a committee of feature selection methods, but do not use it as an ensemble. A comprehensive evaluation of our approach against current practices in feature selection and feature reduction demonstrate s that our proposal 1) enables state-of-the-art classifiers to perform a significantly faster, yet very accurate, automatic filtering of educational resources, and 2) such filtering meaningfully considers the usefulness of the resource for educational tasks. (More)

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Paper citation in several formats:
Estivill-Castro, V.; Lombardi, M. and Marani, A. (2019). Panel of Attribute Selection Methods to Rank Features Drastically Improves Accuracy in Filtering Web-pages Suitable for Education.In Proceedings of the 11th International Conference on Computer Supported Education - Volume 2: CSEDU, ISBN 978-989-758-367-4, ISSN 2184-5026, pages 48-57. DOI: 10.5220/0007676300480057

@conference{csedu19,
author={Vladimir Estivill{-}Castro. and Matteo Lombardi. and Alessandro Marani.},
title={Panel of Attribute Selection Methods to Rank Features Drastically Improves Accuracy in Filtering Web-pages Suitable for Education},
booktitle={Proceedings of the 11th International Conference on Computer Supported Education - Volume 2: CSEDU,},
year={2019},
pages={48-57},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007676300480057},
isbn={978-989-758-367-4},
}

TY - CONF

JO - Proceedings of the 11th International Conference on Computer Supported Education - Volume 2: CSEDU,
TI - Panel of Attribute Selection Methods to Rank Features Drastically Improves Accuracy in Filtering Web-pages Suitable for Education
SN - 978-989-758-367-4
AU - Estivill-Castro, V.
AU - Lombardi, M.
AU - Marani, A.
PY - 2019
SP - 48
EP - 57
DO - 10.5220/0007676300480057

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