Personalizing Online Educational Tools
Personalizing Online Educational Tools
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DOI：
10.1145/3039677.3039680
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发表时间：
2017-03
期刊：
影响因子：
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通讯作者：
M. Lee;B. Ferwerda
中科院分区：
文献类型：
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作者：
M. Lee;B. Ferwerda
随着越来越多的人转向在线资源学习，将越来越需要系统来理解和适应用户的需求。参与度是保持用户致力于学习的重要方面。在线系统的学习方法可以从个性化中受益，以吸引用户。然而，用于个性化的许多方法当前依赖于方法（例如，历史行为数据、调查问卷、测验），其不能从系统的使用开始提供个性化体验。当学习环境中的用户接触到新内容时，他们从系统获得的第一印象会影响他们对程序的承诺。在这份立场文件中，我们提出了一个定量的方法，在网上学习环境中的个性化，以克服目前的问题，在这种环境中的个性化。
As more people turn to online resources to learn, there will be an increasing need for systems to understand and adapt to the needs of their users. Engagement is an important aspect to keep users committed to learning. Learning approaches for online systems can benefit from personalization to engage their users. However, many approaches for personalization currently rely on methods (e.g., historical behavioral data, questionnaires, quizzes) that are unable to provide a personalized experience from the start-of-use of a system. As users in a learning environment are exposed to new content, the first impression that they receive from the system influences their commitment with the program. In this position paper we propose a quantitative approach for personalization in online learning environments to overcome current problems for personalization in such environments.