2026-06-29T01:32:51Zhttps://docta.ucm.es/rest/oai/request

oai:docta.ucm.es:20.500.14352/1346962026-04-14T00:11:49Zcom_20.500.14352_14col_20.500.14352_15

Semi-automatic generation of competency maps based on educational data mining Alfonso, David Manjarrés Riesco, Ángeles Pickin, Simón James 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. 2026-04-13T13:52:46Z 2026-04-13T13:52:46Z 2026-04-13T13:52:46Z 2019-07-03 journal article https://hdl.handle.net/20.500.14352/134696 XXXX-XXXX 10.2991/ijcis.d.190627.001 1875-6883 eng info:eu-repo/grantAgreement/MINECO//TIN2015-65845-C3-1-R/ES/DESARROLLO Y ANALISIS FORMAL DE SISTEMAS COMPLEJOS EN CONTEXTOS DISTRIBUIDOS: FUNDAMENTOS, HERRAMIENTAS Y APLICACIONES/ Alfonso, D., Manjarrés, A. & Pickin, S. Semi-Automatic Generation of Competency Maps Based on Educational Data Mining. Int J Comput Intell Syst 12, 744–760 (2019). https://doi.org/10.2991/ijcis.d.190627.001 open access Springer Nature