Volume 12, Issue 2, 2019, Pages 744 - 760
Semi-Automatic Generation of Competency Maps Based on Educational Data Mining
Authors
David Alfonso1, Angeles Manjarrés1, *, Simon Pickin2
1Departamento de Inteligencia Artificial, Universidad Nacional de Educación a Distancia, C/Juan del Rosal, 16, 28040, Madrid, Spain
2Departamento de Sistemas Informáticos y Computación, Universidad Complutense de Madrid, C/Profesor Jose García Santesmases, 9, 28040, Madrid, Spain
*Corresponding author. Email: amanja@dia.uned.es
Corresponding Author
Angeles Manjarrés
Received 11 September 2018, Accepted 18 June 2019, Available Online 3 July 2019.
- DOI
- 10.2991/ijcis.d.190627.001How to use a DOI?
- Keywords
- Educational data mining; Concept maps; Bayesian networks; Recommender systems; E-Learning content authoring tools
- Abstract
We propose a semi-automatic method for the generation of educational-competency maps from repositories of multiple-choice question responses, using Bayesian structural learning and data-mining techniques. We tested our method on a large repository of responses to multiple-choice exam questions from an undergraduate course in Languages and Automata Theory at Spain's national distance-learning university (UNED). We also draw up guidelines and best practices, with a view to defining an educational data-mining methodology and to contributing to the development of educational data-mining tools.
- Copyright
- © 2019 The Authors. Published by Atlantis Press SARL.
- Open Access
- This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).
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TY - JOUR AU - David Alfonso AU - Angeles Manjarrés AU - Simon Pickin PY - 2019 DA - 2019/07/03 TI - Semi-Automatic Generation of Competency Maps Based on Educational Data Mining JO - International Journal of Computational Intelligence Systems SP - 744 EP - 760 VL - 12 IS - 2 SN - 1875-6883 UR - https://doi.org/10.2991/ijcis.d.190627.001 DO - 10.2991/ijcis.d.190627.001 ID - Alfonso2019 ER -