Iglesias Maqueda, Ana MaríaMartínez Fernández, PalomaCuadra Fernández, María DoloresCastro Galán, ElenaFernández, Fernando2015-01-122015-01-122002-04-03ICEIS 2002 Proceedings: Fourth International Conference on Enterprise Information Systems, Ciudad Real, Spain, April 3-6, 2002. Volume 1. Portugal: ICEIS Press, 2002, pp. 500-505.972-98050-6-7D.L. 176839/02https://hdl.handle.net/10016/19832Proceedings of: 4th International Conference on Enterprise Information Systems (ICEIS 2002), Ciudad Real, Spain, April 3-6, 2002The definition of effective pedagogical strategies for coaching and tutoring students according to their needs in each moment is a high handicap in ITS design. In this paper we propose the use of a Reinforcement Learning (RL) model, that allows the system to learn how to teach to each student individually, only based on the acquired experience with other learners with similar characteristics, like a human tutor does. This technique avoids to define the teaching strategies by learning action policies that define what, when and how to teach. The model is applied to a database design ITS system, used as an example to illustrate all the concepts managed in the model.6application/pdfeng© ICEIS Press 2002Intelligent tutoring systemReinforcement learningPedagogical strategiesCoaching and tutoringconference paperInformáticaopen access5001505ICEIS 2002 Proceedings: Fourth International Conference on Enterprise Information Systems, Ciudad Real, Spain, April 3-6, 2002CC/0000019472