基于Mashup技术的PLE模型的研究与实现

Research and Implementation of PLE Model Based on Mashup Technology

Mashup技术的出现为在线学习提供了新的机遇与挑战。虽然在线学习提供了学习资源的共享空间,但由于学习资源的内容繁多,分类模糊和学习环境的强制被动性,降低了学习者的学习效果。因此文中基于Mashup混搭技术设计和开发了PLE模型,旨在提高在线教育的"个性化、易用性、可扩展性、实用性"。首先,根据Mashup的研究现状和学习者的实际需求,分析了PLE模型应该具有的属性和特征;然后,利用Mashup设计和实现了PLE模型所需的主要功能模块,并采用"LMS-MOS"的混合式教学模式对该模型进行优化,进一步提高学习者的学习质量;最后,在EKLOE平台上验证了该模型的可行性和有效性,证明该模型不仅降低了开发难度和支持学习者的个性化学习环境,同时还提高了学习者的学习质量。

Mashup technology provides e-learning with new opportunities and challenges. Although e-learning can offer the sharing space for the learning resources, the learning effect is reduced by various content and fuzzy classification of the learning resources as well as the passive learning enforcement. In order to advance the personalization, usability and variability of the online education, a PLE （ Personal I.earning Environment） model is designed and developed based on Mashup technology. Firstly, according to the research status of Mashup and actual demands of the learners, the attributes and characteristics of the PLE model are analyzed. Then, based on Mashup, the main functional modules needed by the PLE model are designed and developed. And for the sake of improving the learning quality of the learner,the LMS-MOS, a kind of blended teaching model,is adopted to optimize the PLE model. Finally, the feasibility and validity of this model are verified on the ELKOE platform. The conclusion indicates that the Mashup-based PLE model not only reduces the difficulties during the developing and supports the personalized learning environment of the learner, but also improves the learning quality of the learners.