学习者模型记录了学习者的认知过程，映射着学习者问题空间中的假设空间和实验空间；
The learner model is responsible to record the cognitive process of a learner, and implemented by mapping the learner's hypothesis space and experiment space.
语义网；本体；自适应学习；学习者模型；知识管理；智能推理；认知能力；建构主义； 语义距离； 语义相似度。
Semantic Web; Ontology; Adaptive Learning; Learner Model; Knowledge Management; Intelligent Reasoning; Cognitive Ability; Constructivism; Semantic Distance; Semantic Similarity.
因此，我们能够在术语中诊断学习者行为如何偏离这个模型。
Hence, we are able to diagnose learner behavior in terms of how it deviates from this model.
并对典型的学习风格模型入行了介绍和剖析。(2)对遥程学习者学习风格的测量方式入行了研讨。
And the typical model of learning style is introduced and analyzed. (2) Studying of learning style of distance learners measuring method.
同时运用数据融合技术中分布式缠绕判决模型进行描述，从而使有效地获取网络学习者的学习状态变为可能。
At the same time it's described utilizing the distributed twine judgment model of data fusion technology, thus make it possible to obtain the study state of network learner efficiently.
在这个模型中，学习者可以就任何他感兴趣几何应用题寻求帮助。
In this model, a learner can seek help with any geometry word problem he is interested in.
该模型分为三大块：课堂知识点的记录、文章语义网络图的绘制和学习者对学习材料的总结和评价。
This model is divided into three parts: the record of information points, text semantic map and the summarization and estimation of the learned text.
以认知参照点为模型进行英语写作是学习者写作的一种基本认知能力。
It is a basic kind of cognitive competence for learners based on the cognitive reference-point model.
本文通过介绍三个有代表性的自主学习模型，基于它们对自主学习心理机制所作的阐释，试就如何培养远程学习者的自主学习能力进行了论述。
By introducing the three models in independent learning, this paper analyses and discusses how to develop the learners 'independent learning ability in distance education.
本文针对英语学习者存在的英美口音混杂现象，提出一种英美口音模型融合方法，提高发音质量评价性能，并压缩声学模型规模以适于嵌入式实现。
In this paper, we propose a new model merging method which can cover both American and British accents to improve the performance of pronunciation scoring with smaller model size.
本文针对英语学习者存在的英美口音混杂现象，提出一种英美口音模型融合方法，提高发音质量评价性能，并压缩声学模型规模以适于嵌入式实现。
In this paper, we propose a new model merging method which can cover both American and British accents to improve the performance of pronunciation scoring with smaller model size.
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