A cognitive tutor is a kind of intelligent tutoring system, which is particularly focused on providing individualized support for the improvement of complex cognitive abilities through the practice of problem resolution. The development of a cognitive tutor involves the analysis of diverse strategies and theories related both to computer science and to pedagogy, as well as the analysis of models related to the discipline in which the tutor will be used. In this paper, an analysis of the state of the art of the topics that have been identified as necessary for the design of a cognitive tutor with gamification to support students with the solving of algebraic problems is conducted. Whenever we talk about an intelligent tutor, models capable of simulating decision making, such as fuzzy models, are required; thus, they are also considered for this analysis. Additionally, comparison tables that allow the identification of opportunity areas for the development of solutions to problems that haven't been thoroughly covered in the literature are presented.
A cognitive tutor is an intelligent tutorial focused on supporting students on the resolution of problems. The large majority of the architectures for tutorial systems consider three common and indispensable modules: the student module; the tutor module; and, the domain module. These three modules are in charge of executing part of the more important activities within the tutor, and it is within these where it is necessary to implement models that simulate decision taking the way a human expert would. The student module should be constantly evaluating the progress made by students; the tutor module should provide adequate content, based on both the student's characteristics and the learning goals; and, the domain module should be capable of simulating the knowledge of experts regarding teaching-learning methodologies. Somehow, these three modules should interact in order to achieve the goals of the cognitive tutor. In this paper a proposal of fuzzy logic-based models for each of these modules is presented; the design of a system in which the three modules interact is also shown.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.