In recent years there has been an upsurge in forms of instruction that envisage a permanent and ongoing involvement in education of novel concepts such as planned and personalised instruction and autonomous learning. A large number of problems that arise in education today may be solved by introducing new technologies into the educational environment, as they allow the form and content of tutoring systems to be tailored to each individual. The application of Artificial Intelligence techniques is helping open up new prospects in the field of teaching and learning. Using Artificial Intelligence techniques in education has the advantage of making it possible to represent expert reasoning and knowledge skills, and to take advantage of this experience in education. This study has involved the development of a tool to generate auto-regulated intelligent tutoring systems based on models. This form of representation makes it possible to break down, organise and represent information so as to enable the easy creation of functional intelligent computerised tutoring systems. Information about the subject in question, about inference mechanisms, and of a pedagogical nature (independent of any one strategy) is all separated. The tool also enables knowledge acquired by a student to be constantly monitored with a view to auto-regulating the course contents.
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References in zbMATH (referenced in 1 article , 1 standard article )
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- Domingo, P.; García-Crespo, A.; Ruiz, B.; Iglesias, A.: EDU-EX: A tool for auto-regulated intelligent tutoring systems development based on models (2002)