推荐系统学习资源的知识描述框架:基于学习心理学的视角

Wenlu Qiu, Jing Du, Fei Li
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引用次数: 1

摘要

本文首先从学习心理学的角度分析了学习者在网络学习过程中遇到的三个常见问题,即信息迷失、认知过载和不连续流。然后,提取中国国家标准中学习者模型的特征信息,为不同的学习者推荐准确、必要的学习资源。本文还解释了在遇到上述问题时,学习者的特征信息如何影响不同学习者对学习资源的使用和需求。最后,构建了加入学习建议描述和学习者特征信息的知识描述框架,以便更有效地改进在线学习资源的推荐。此外,本文还提供了如何将该框架应用于K12教育数据库的设想。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Knowledge Description Frame of Learning Resources for Recommendation System: From the Perspectives of Learning Psychology
The paper firstly analyzed the three common issues that learners encounter during online learning, namely information disorientation, cognitive overload and discontinuous flow from the perspective of learning psychology in the study. Then, to recommend accurate and essential learning resources to different learners, characteristic information of the learner model in Chinese national standards is extracted. The paper also explained how the characteristic information of learners influences the use and demand of learning resources among different learners as they encounter the aforementioned issues. Finally, the knowledge description frame adding the description of learning suggestion and learners’ characteristic information is constructed, in order that the recommendation of online learning resources can be more efficiently improved. In addition, a vision of how the frame can be applied in K12 educational database is provided.
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