Towards a Tailored Hybrid Recommendation-based System for Computerized Adaptive Testing through Clustering and IRT

Wesley Silva, Marcos Spalenza, Jean-Rémi Bourguet, Elias de Oliveira

2020

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.

Paper Citation

in Harvard Style

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, pages 260-268. DOI: 10.5220/0009419902600268

in Bibtex Style

@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},
}

in EndNote Style

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
AU - Silva W.
AU - Spalenza M.
AU - Bourguet J.
AU - de Oliveira E.
PY - 2020
SP - 260
EP - 268
DO - 10.5220/0009419902600268