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Predictive Analytical Framework based on Formal Method to Enhance Mobile and Pervasive Learning Experience

机译:基于正式方法的预测分析框架,提升移动和普遍学习体验

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In this paper, we present a predictive analytical framework for mobile and ubiquitous learning environment based on three main dimensions: learner, contextualized activity and space. The main objective of this proposal is to assist pedagogical designer in developing engaging and effective courses by focusing on the learner's experience and his learning environment. To do that, a solid structure is essential to organize correlations between different activities and to assess their reliability with the learner's context. The strengths of our proposal lie in the fact that, in a formal manner through friendly graphical interfaces, it allows pedagogical designers: (1) to specify, model, simulate, analyse and verify different types of context-aware and adaptive learning activities and their related contexts, (2) to assess the reliability of the indoor and outdoor learning spaces within pervasive environment through factual cases and to experiment various learning scenarios, (3) To simulate and to verify interactions and co- adaptability rules between learner, contextualized activity and space.
机译:在本文中,我们为基于三个主要尺寸的移动和无处不在的学习环境提出了预测分析框架:学习者,情境化活动和空间。该提案的主要目标是通过专注于学习者的经验和他的学习环境,协助教学设计师开发参与和有效的课程。为此,坚实的结构对于组织不同活动之间的相关性并与学习者的背景评估其可靠性至关重要。我们提议的优势在于,通过友好的图形界面以正式的方式,它允许教学设计师:(1)指定,模型,模拟,分析和验证不同类型的上下文知识和自适应学习活动及其相关背景,(2)通过事实情况评估普及环境中的室内和户外学习空间的可靠性,并通过实际情况来实验各种学习场景,(3)模拟并验证学习者,上下文化活动与中文化活动之间的交互和共同性规则空间。

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