运用分析形式对大规模在线公开课程进行诊断和评估

2015 10th International Conference on Intelligent Systems: Theories and Applications (SITA) Pub Date : 2015-10-01 DOI:10.1109/SITA.2015.7358389

Jihane Sophia Tahiri, S. Bennani, Mohammed Khalidi

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引用次数: 7

摘要

评估是所有学习环境中教学策略的关键要素，特别是大规模在线开放课程(MOOC)，因为它可以提高教育内容和培训工具的质量。最近，MOOC已经证明了对海量潜在数据进行诊断和评估的必要性。在此背景下，本文描述了我们的逻辑逐步分析方法，该方法代表了我们为有效评估MOOC而开发的过程。这种方法是基于学习分析和跟踪的结合。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Using an analytical formalism to diagnostic and evaluate Massive Open Online Courses

Evaluation is a key element in the pedagogical strategy of all learning environments, especially Massive Open Online Courses (MOOC) since it allows quality improving of educational content and training tools. Recently, MOOC have proven the need for diagnostic and evaluation in terms of huge amount of potential data. In this context, this present paper describes our logical stepwise analytical approach which represents the process we have developed to effectively evaluate MOOC. This approach is based on a combination of Learning Analytics and traces.

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2015 10th International Conference on Intelligent Systems: Theories and Applications (SITA)

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