基于协同过滤技术的SCORM数字化教学资源库研究

发布时间：2018-11-19 21:05

【摘要】：随着计算机网络和通信技术的发展与普及,无论是高校还是公司企业,都出现了很多的在线学习培训平台。E-learning学习方式由于其具有“时空分离”,“随时随地学习”的特点,现在也受到了越来越多人的欢迎。但是,随着在E-learning平台的使用中我们发现,目前数字化教学资源库建设中主要存在以下问题： 1.教学资源的利用率低。如今在线教学资源呈爆炸式增长,教学资源质量却参差不齐,学习者在学习时往往无法去辨别资源的优劣,造成资源的有效利用率不高。 2.教学资源的重用率低。每个E-learning教学平台都要专门为自己开发相应的教学资源课程,课程无法在平台之间进行重用和移植,造成了人力和物力的极大浪费。针对以上问题,本文提出了关于SCORM标准下的数字化教学资源个性化推荐系统的研究。开展的研究工作主要包括以下三个方面：第一,本论文在综合考虑学习者的学习过程、SCORM标准以及个性化推荐技术的基础上,构建了SCORM数字化教学资源管理模型,并且对数字化教学资源管理模型进行了描述。第二,在SCORM数字化教学资源管理模型研究的基础上,根据个性化推荐技术中协同过滤推荐算法的原理和优缺点,结合学习者的学习行为特征,构建了SCORM标准下数字化教学资源推荐模型,设计并实现了基于协同过滤技术的推荐算法。第三,在上述研究工作的基础上,本论文设计并实现了基于协同过滤技术的SCORM数字化教学资源库系统,并对该系统进行了测评。测评数据分析的结果表明该推荐系统对学习者寻找优质的数字化教学资源具有较好的促进作用。本论文的研究对数字化教学资源库的共建共享,提高学习者的学习效率都能够起到十分积极的作用。
[Abstract]:With the development and popularization of computer network and communication technology, many online learning and training platforms have emerged, both in universities and companies. E-learning mode has "space-time separation". The characteristic of "learning anytime, anywhere" is now welcomed by more and more people. However, with the use of E-learning platform, we find that the main problems in the construction of digital teaching resources database are as follows: 1. The utilization rate of teaching resources is low. Nowadays, the online teaching resources are increasing explosively, but the quality of teaching resources is not uniform, learners often can not distinguish the advantages and disadvantages of resources when learning, resulting in the effective utilization of resources is not high. 2. The reuse rate of teaching resources is low. Each E-learning teaching platform should specially develop the corresponding teaching resource courses for itself. The courses can not be reused and transplanted between the platforms, which results in a great waste of manpower and material resources. In view of the above problems, this paper puts forward the research on the personalized recommendation system of digital teaching resources based on SCORM standard. The research work mainly includes the following three aspects: first, on the basis of synthetically considering learners' learning process, SCORM standard and personalized recommendation technology, this paper constructs a SCORM digital teaching resource management model. The management model of digital teaching resources is described. Secondly, on the basis of the research of SCORM digital teaching resource management model, according to the principle, advantages and disadvantages of collaborative filtering recommendation algorithm in personalized recommendation technology, combined with the learning behavior characteristics of learners. The recommendation model of digital teaching resources based on SCORM standard is constructed, and the recommendation algorithm based on collaborative filtering technology is designed and implemented. Thirdly, on the basis of the above research work, this paper designs and implements the SCORM digital teaching resource database system based on collaborative filtering technology, and evaluates the system. The results of evaluation data analysis show that the recommendation system can promote learners to find high quality digital teaching resources. The research of this thesis can play a very positive role in the construction and sharing of digital teaching resources database and the improvement of learners' learning efficiency.
【学位授予单位】：浙江工业大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：TP391.3;G434

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