Maite Martín
University of the Basque Country
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Featured researches published by Maite Martín.
international conference on advanced learning technologies | 2009
Maite Martín; Ainhoa Álvarez; Samara Ruiz; Isabel Fernández-Castro; Maite Urretavizcaya
SigMa is an adaptable feedback generation tool for the three kinds of actors involved in a blended-learning process: teachers, students, and the e-learning platform. This paper focuses on the teacher tool and defines its desirable functionalities and main components. The teacher tool gathers data provided by the e-learning platform’s diagnostic capabilities and analyses it. The results are shown to teachers by means of a Visualisation Interface that informs them about course development and suggests possible changes and improvements. A Teacher Profile is used to adapt the feedback to match teachers’ strategies and preferences.
international conference on advanced learning technologies | 2008
Maite Martín; Ainhoa Álvarez; Isabel Fernández-Castro; Maite Urretavizcaya
In this paper we present SIgMa, an adaptable feedback generation tool for teachers which gives information about course development in an educational Web environment with diagnostic capabilities. First student results are analysed using statistical calculations and data mining techniques. Afterwards, the feedback provision is carried out by a rule-based system that recognizes anomalous behaviour patterns among the analysis results and provides some suggestions for improvement which are adapted to teacher strategies and preferences by means of a teacher model. We present the main proposal and the implementation and a test of a restricted prototype.
international conference on advanced learning technologies | 2011
Maite Martín; Ainhoa Álvarez; Isabel Fern´ndez-Castro; David Reina; Maite Urretavizcaya
In the context of the MAgAdI environment, this paper presents SIgMa, a teacher oriented tool, and SIgBLE, its general framework basis. SIgMas general aims are to automatically detect visible signs of failure or success among data coming from interactions happened on blended learning environments, and to provide relevant feedback adapted to teachers. First, we introduce SIgBLE and the interface of the SIgMa prototype. A usability test of the current prototype is also presented.
international conference on advanced learning technologies | 2009
Ainhoa Álvarez; Samara Ruiz; Maite Martín; Isabel Fernández-Castro; Maite Urretavizcaya
This paper describes the inclusion of a recommendation system in the MAGADI [1] blended-learning environment. It seeks to help students with their overall study process by recommending both which courses to study for and the contents to be developed on each
Interactive Learning Environments | 2016
Ainhoa Álvarez; Maite Martín; Isabel Fernández-Castro; Maite Urretavizcaya
Currently, most of the educational approaches applied to higher education combine face-to-face (F2F) and computer-mediated instruction in a Blended-Learning (B-Learning) approach. One of the main challenges of these approaches is fully integrating the traditional brick-and-mortar classes with online learning environments in an efficient and flexible way. In this paper, we present a set of requirements to be met by a computer system in order to adequately support both students and teachers in a B-Learning context. Then, it defines a suitable conceptual architecture to meet the requirements, and the multi-agent implementation of the architecture. Next, it presents the evaluation of the functionality implemented. Finally some conclusions are drawn.
Computers in Education | 2013
Ainhoa Álvarez; Maite Martín; Isabel Fernández-Castro; Maite Urretavizcaya
Journal of Universal Computer Science | 2005
Begoña Ferrero; Maite Martín; Ainhoa Álvarez; Maite Urretavizcaya; Isabel Fernández-Castro
artificial intelligence in education | 2011
Maite Martín; Ainhoa Álvarez; Isabel Fernández-Castro; Maite Urretavizcaya
artificial intelligence in education | 2009
Ainhoa Álvarez; Samara Ruiz; Maite Martín; Isabel Fernández-Castro; Maite Urretavizcaya
intelligent tutoring systems | 2012
Maite Martín; Ainhoa Álvarez; David Reina; Isabel Fernández-Castro; Maite Urretavizcaya; Susan Bull