Semi-Automatic Generation of Competency Maps Based on Educational Data Mining

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...

Full description

Bibliographic Details
Main Authors: David Alfonso, Angeles Manjarrés, Simon Pickin
Format: Article
Language:English
Published: Atlantis Press
Series:International Journal of Computational Intelligence Systems
Subjects:
Online Access:https://www.atlantis-press.com/article/125912234/view
Description
Summary: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.
ISSN:1875-6883