loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Wesley Silva 1 ; Marcos Spalenza 1 ; Jean-Rémi Bourguet 2 and Elias de Oliveira 1

Affiliations: 1 Postgraduate Program of Informatics (PPGI), Federal University of Espírito Santo, Vitória, Brazil ; 2 Department of Computer Science, Vila Velha University, Vila Velha, Brazil

Keyword(s): Technology-enhanced Learning, Computerized Adaptive Testing, Intelligent Tutoring Systems, Item Response Theory, Clustering, Recommendation-based System, Collaborative Filtering, Content-based Filtering.

Abstract: Creating a student individualized evaluation path composed by a sequence of activities is a hard task and requires efforts and time for teachers. In such cases, the activities have to be well adjusted to the latent knowledge of specific students groups. In this paper, we propose a hybrid system that automatically selects and recommends activities based on a historical evolution of past students during the teaching-learning process. Our system is supported by the hybrid usage of Item Response Theory and techniques of clustering to output different kinds of recommendations as filters to select activities and build the tailored evaluation path.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.145.55.169

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Silva, W.; Spalenza, M.; Bourguet, J. and de Oliveira, E. (2020). Towards a Tailored Hybrid Recommendation-based System for Computerized Adaptive Testing through Clustering and IRT. In Proceedings of the 12th International Conference on Computer Supported Education - Volume 1: CSEDU; ISBN 978-989-758-417-6; ISSN 2184-5026, SciTePress, pages 260-268. DOI: 10.5220/0009419902600268

@conference{csedu20,
author={Wesley Silva. and Marcos Spalenza. and Jean{-}Rémi Bourguet. and Elias {de Oliveira}.},
title={Towards a Tailored Hybrid Recommendation-based System for Computerized Adaptive Testing through Clustering and IRT},
booktitle={Proceedings of the 12th International Conference on Computer Supported Education - Volume 1: CSEDU},
year={2020},
pages={260-268},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009419902600268},
isbn={978-989-758-417-6},
issn={2184-5026},
}

TY - CONF

JO - Proceedings of the 12th International Conference on Computer Supported Education - Volume 1: CSEDU
TI - Towards a Tailored Hybrid Recommendation-based System for Computerized Adaptive Testing through Clustering and IRT
SN - 978-989-758-417-6
IS - 2184-5026
AU - Silva, W.
AU - Spalenza, M.
AU - Bourguet, J.
AU - de Oliveira, E.
PY - 2020
SP - 260
EP - 268
DO - 10.5220/0009419902600268
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic