LeVinQam: a question answering mining platform
Patrick Duval, Agathe Merceron, Christian Rinderknecht, M. Scholl · 2004
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.