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MOSCEPA(Adaptive Pedagogocal Scripting Model): Towards a New Adaptive Model of Educational Scriptwriting for LMS

机译:MOSCEPA(自适应教学脚本脚本模型):朝着LMS教育脚本创作的新自适应模型

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In recent years, Senegal has adopted the Bachelor Master PhD system (BMP) in higher education institutions. It is a model that has several advantages for learners, such as mobility at national and international level and the flexibility of transit conditions. Our research focuses on this second point, the conditions of passage. More specifically, our research problem concerns the question of the management of students admitted to higher education but who take up teaching units of the previous class. These students “in conditional passage” have difficulties to follow at the same time the courses taken and the current school year. Based on this observation, we proposed an adaptive learning scenario model based on the student's academic results. Thus the pedagogical model becomes hybrid, with classroom courses and online courses. These are implemented in an online training platform whose data are derived from the educational computer system. In our previous research, we conducted a comparative study of the scripting models used in online training platforms. Studies show that some models are general, others specific for specific purposes. Hence, a generalist model is still not the most appropriate to meet the needs of pedagogical models of higher education. Most models emphasize the scripting of activities and resources of the e-learning platform without taking into account external parameters such as data from the school's educational information system. In this article, we present MOSCEPA (Adaptive Pedagogical Scripting Model), a new model of adaptive pedagogical scripting based on the IMS LD formalism and data from the pedagogical information system.
机译:近年来,塞内加尔通过了高等教育机构的学士博士博士制度(BMP)。这是一个为学习者有几个优势的典范,例如国家和国际层面的流动性以及过境条件的灵活性。我们的研究侧重于第二点,通过条件。更具体地说,我们的研究问题涉及进入高等教育的学生管理的问题,但占据前一类教学单位。这些学生“有条件的通道”在采取的课程和当前的学年的同时,有困难。基于这一观察,我们提出了一种基于学生的学术结果的自适应学习场景模型。因此,教学模式变为混合动力,课堂课程和在线课程。这些在在线培训平台中实现,其数据来自教育计算机系统。在我们以前的研究中,我们对在线培训平台中使用的脚本模型进行了比较研究。研究表明,一些模型是一般的,其他型号特定于特定目的。因此,通用模型仍然是满足高等教育教学模式的需求最合适的。大多数模型强调了电子学习平台的活动和资源的脚本,而无需考虑到学校教育信息系统的数据等外部参数。在本文中,我们呈现MoScePa(自适应教学脚本模型),基于IMS LD形式主义和来自教学信息系统的数据的自适应教学脚本的新模型。

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