Title :
Formative criterion-based assessment for Moodle quizzes using intelligent computing
Author :
Sanchez-Torrubia, M.G. ; Torres-Blanc, C. ; Trivino, G.
Author_Institution :
Appl. Math. Dept., Univ. Politec. de Madrid, Madrid, Spain
Abstract :
This paper describes the use of the granular linguistic model of a phenomenon (GLMP) to model the assessment of integer arithmetic learning and implement the automated generation of a formative criterion-based assessment report in natural language, as well as a numerical grade. The report is generated based exclusively on the objective scores automatically generated by Moodle quizzes. GLMP is based on fuzzy logic and the computational theory of perceptions, and uses inference systems based on linguistic rules.
Keywords :
inference mechanisms; learning (artificial intelligence); linguistics; natural language processing; GLMP; Moodle quizzes; formative criterion-based assessment; fuzzy logic; granular linguistic model of a phenomenon; inference systems; integer arithmetic learning; intelligent computing; linguistic rules; natural language; Computational modeling; Equations; Fuzzy logic; Mathematical model; Natural languages; Pragmatics; Vectors; automatic learning assessment; computing with words and perceptions; criterion-based assessment; formative assessment; granular linguistic model of a phenomenon;
Conference_Titel :
Global Engineering Education Conference (EDUCON), 2013 IEEE
Conference_Location :
Berlin
Print_ISBN :
978-1-4673-6111-8
Electronic_ISBN :
2165-9559
DOI :
10.1109/EduCon.2013.6530220
