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

fYear

2013

fDate

13-15 March 2013

Firstpage

940

Lastpage

946

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Global Engineering Education Conference (EDUCON), 2013 IEEE

Conference_Location

Berlin

ISSN

2165-9559

Print_ISBN

978-1-4673-6111-8

Electronic_ISBN

2165-9559

Type

conf

DOI

10.1109/EduCon.2013.6530220

Filename

6530220