Architecture proposal for a Mobile Intelligent Tutoring System
Abstract
In the present work an architecture restructuring is proposed to improve the traditional modules of an intelligent tutorial system (STI) and to incorporate its implementation in mobile devices. For this purpose, a methodology based on process engineering has been used, which brings together knowledge, techniques and strategies from different disciplines to develop a project. Among the results it can be mentioned that adding the diagnostic module to the traditional STI raises the alternatives to present the study subjects; this, in addition, makes it possible to periodically identify the students' level of knowledge by means of the components VAK, mood, pretest and posttest. Currently, the mobile STI is in beta version, implemented in the Android 5.0 operating system to include concepts of the energy theme. It is expected that the mobile STI architecture will develop applications that facilitate learning in other disciplines that require high computing power in small devices; this would help the end users when they should review, at anytime and anywhere, various subjects of the curriculum.Copyright (c) 2019 RECI Revista Iberoamericana de las Ciencias Computacionales e Informática
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