Towards a Learning Analytics Support for Intelligent Tutoring Systems on MOOC Platforms

David Bañeres, S. Caballé, R. Clarisó
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引用次数: 16

Abstract

Nowadays, many MOOC platforms have arisen to provide free knowledge. These platforms have a large catalog of courses for different specializations that progressively demand more specific learning resources and assessment methods to evaluate the progression of students. Current MOOC platforms are gradually giving support to these new requirements but with a limited assistance. This paper presents the state of art of the analytical system for three relevant MOOC platforms, one of the main pillars for analyzing the progression of courses. Other initiatives are also reviewed to show that current MOOC analytical systems are not ready to support custom MOOC-aware intelligent tutoring systems (ITSs). Thus, the design of a learning analytics system to assist these tools for MOOC platforms is presented.
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面向MOOC平台智能辅导系统的学习分析支持
如今,出现了许多提供免费知识的MOOC平台。这些平台有大量不同专业的课程目录,逐渐需要更具体的学习资源和评估方法来评估学生的进步。目前的MOOC平台正在逐步支持这些新需求,但提供的帮助有限。本文介绍了三个相关MOOC平台的分析系统的现状,这是分析课程进度的主要支柱之一。本文还回顾了其他举措,表明当前的MOOC分析系统还没有准备好支持定制的MOOC感知智能辅导系统(its)。因此,提出了一个学习分析系统的设计,以辅助MOOC平台上的这些工具。
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