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Architecture for an Adaptive and Intelligent Tutoring System that Considers the Learner's Multiple Intelligences

机译:考虑学习者多元智能的自适应智能辅导系统的体系结构

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The majority of adaptive and intelligent tutoring systems (AITS) are dedicated to a specific domain, allowing them to offer accurate models of the domain and the learner. The analysis produced from traces left by the users is didactically very precise and specific to the domain in question. It allows one to guide the learner in case of difficulty and to offer her/him some support. This paper's objective was to develop an (AITS), adapted for letting the learners work in several disciplinary fields of the University of the Annaba. In this context, its constraint is threefold: to represent knowledge relative to several disciplinary domains, to propose interactive activities to the learners based on multiple intelligences, and finally, to be able to support student guidance in her/his course by proposing her/him relevant support activities when she/he meets difficulties. The proposed system covers all important properties such as hypertext component, adaptive sequencing, problem-solving support, intelligent solution analysis and adaptive presentation while available systems have only some of them.
机译:大多数自适应和智能辅导系统(AITS)专用于特定领域,从而使它们能够提供该领域和学习者的准确模型。从用户留下的痕迹产生的分析在理论上非常精确,并且特定于所讨论的域。它允许人们在遇到困难的情况下指导学习者并提供一些支持。本文的目的是开发一种(AITS),适合让学习者在安纳巴大学的多个学科领域工作。在这种情况下,它的约束是三方面的:代表与多个学科领域有关的知识;基于多种智能向学习者提出互动活动;最后,通过提出建议来支持学生在其课程中的指导遇到困难时的相关支持活动。拟议的系统涵盖了所有重要的属性,例如超文本组件,自适应排序,问题解决支持,智能解决方案分析和自适应表示,而可用系统只有其中一些。

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