Concepts from a specific subject passed in a collection of tests.

Once a specific subject is partitioned into concepts, the binary relationship recorded about passing or failing those concepts that appear on the tests of a collection of tests can be used to automatically extract knowledge using FCA techniques ranging from determining common ways to pass a subject to build concept lattices of frequent correlated items.

F. Pérez-Gámez, M. Ojeda-Fernández, Á. Mora-Bonilla, D. López-Rodríguez, N. Madrid. Using formal concept analysis to explore hidden knowledge in the assesment of a math course. In M. Nunes, P. Isaias (eds.), Proceedings of the IADIS International Conference e-Learning 2020 (part of MCCSIS 2020), ISBN 978-989-8704-17-7 (July 2020): 39–46. http://www.iadisportal.org/el-2020-proceedings

http://www.iadisportal.org/digital-library/using-formal-concept-analysis-to-explore-hidden-knowledge-in-the-assessment-of-a-math-course (publisher ), https://dominlopez.netlify.app/publication/2020-e-learning/paper.pdf (private copy for evaluation purposes )

Pablo Guerrero-Garcia

University of Malaga