RT Journal Article
T1 Semi-automatic generation of competency maps based on educational data mining
A1 Alfonso, David
A1 Manjarrés Riesco, Ángeles
A1 Pickin, Simón James
AB 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.
PB Springer Nature
YR 2019
FD 2019-07-03
LK https://hdl.handle.net/20.500.14352/134696
UL https://hdl.handle.net/20.500.14352/134696
LA eng
NO 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
DS Docta Complutense
RD 29 abr 2026