LeVinQam: a question answering mining platform

Author

Duval, Patrick ; Merceron, Agathe ; Rinderknecht, Christian ; Scholl, Michel

Author_Institution

ESILV, Pole Univ. Leonard de Vinci, Paris La Defense, France

fYear

2004

fDate

31 May-2 June 2004

Firstpage

250

Lastpage

255

Abstract

The development of Web technologies has accelerated the offer of (commercial) e-learning platforms. This paper is a first step toward the design and implementation of a platform called LeVin-Qam whose main functionalities are: (a) the provision and management of a series of exercises and tests (authoring tools); (b) a personalized navigation through the existing collection of exercises and tests, taking into account the user profile (level of skills) and history; (c) the analysis of user answers, its storing into a database and its mining. As case studies we have chosen (1) the learning of SQL, the standard database query language, and (2) formal proofs for propositional logic, to validate the platform functionalities and the mining of answers.

Keywords

Internet; SQL; authoring systems; computer aided instruction; data mining; query languages; LeVinQam; Web technologies; authoring tools; database mining; database query language; e-learning platforms; formal proofs; personalized navigation; propositional logic; question answering mining platform; user answers; user profile; Acceleration; Computer architecture; Data mining; Database languages; Electronic learning; History; Logic testing; Navigation; Visual databases; Visualization;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Technology Based Higher Education and Training, 2004. ITHET 2004. Proceedings of the FIfth International Conference on

Print_ISBN

0-7803-8596-9

Type

conf

DOI

10.1109/ITHET.2004.1358173

Filename

1358173