移动学习情境感知模型研究

移动学习的出现使得学习者随时、随地、随身学习成为可能，为提高偏远、落后地区教育水平提供了全新的思路。本项目针对移动学习意图判断智能化不足的问题，研究移动学习情境感知模型，目标是智能感知学习意图，自适应推荐个性化资源。为此，本项目拟采用“情境感知模型、资源智能推荐、实证测试验证”的技术路线，以移动学习数据为基础，依据移动学习特征，将移动学习行为轨迹、知识体系与学习效果进行时空维度关联，判断移动学习意图，自适应推荐与意图匹配的个性化资源。研究内容：1）基于移动学习完整轨迹，提出移动学习行为度量方法；2）将在线学习共性特征与移动学习典型特征融合计算，揭示移动学习情境感知影响机理和内在规律，建立情境感知模型；3）根据当前情境下学习者习得知识，提出意图驱动的自适应推荐算法。研究意义：1）及时、准确地为移动学习者推荐个性化资源，提高移动学习效率；2）尽可能缩短新疆与发达地区教育差距，助力新疆稳定发展。

The emergence of mobile learning makes it possible to learners learning at anytime, anywhere and with them and provides a new though to improve the educational level in remote and backward region..Focusing on the problem of insufficient intelligent judgment of learner’s intention in mobile learning, this project construct a context awareness model to perceive learner’s intention and recommend personalized resources in mobile learning. Therefore, the project presents a technical route that is modeling context awareness, recommending the personalized resource and testing verifies.The data of mobile learning behaviors is used to acquire typical features,fragmentary actions, learned knowledge and learning effect of mobile learning. All.above factors are related to a temporal and spatial context, then to judge mobile learner’s intention and recommend personalized resource.. The major research work includes: first, a measure method of mobile actions is presented based on the whole path of mobile learning. Second, combining the common features of online learning and typical features of mobile learning, the project is revealing context awareness mechanism and essential rules. Third, a recommend algorithm of intention driven is given based on learned knowledge of mobile.learner in context.. The significance of the research includes the following points. First, the presented algorithm can timely and accurately recommend personalized resource and improve the learning efficiency. Second, the research shorts the gap between Xinjiang and developed areas and forward to set up harmonious Xinjiang.