Automatically Generated Inspectable Learning Models for Students

Authors:
Diana Perez-Marin;Ismael Pascual-Nieto;Enrique Alfonseca;Pilar Rodriguez
Affiliations:
Computer Science Department, Universidad Autonoma de Madrid;Computer Science Department, Universidad Autonoma de Madrid;Computer Science Department, Universidad Autonoma de Madrid;Computer Science Department, Universidad Autonoma de Madrid
Venue:
Proceedings of the 2007 conference on Artificial Intelligence in Education: Building Technology Rich Learning Contexts That Work
Year:
2007

Citing 3
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Abstract

Willow is an automatic and adaptive free-text scoring system. Its main purpose is to provide formative assessment to the students so that they can get more practise and feedback before their exams. It also keeps track of the terms that students use in their answers to automatically generate each particular student conceptual model and the group conceptual model. In both cases, the conceptual model can be defined as a set of concepts and their relationships that each student keeps in his or her mind about an area of knowledge. The conceptual model can be represented by COMOV as a concept map so that instructors can track students' concepts acquisition. In this paper, we present the new possibility and its consequences of showing the concept maps (from their individual and group conceptual models) not only to instructors but also to students. Moreover, to allow students to see their evolution, as they study and get more training, through their concept maps. The preliminary results of an experiment carried out with a group of students show how they like to be able to inspect their generated learning models.