快速模式匹配在网络教育平台中的应用研究

网络教育平台建设的核心是教学资源库的建设,各种类型资源的快速匹配是需要频繁使用的基础功能。现有的解决方案往往使用的是BF等经典算法,匹配效率有一定的提高空间。用XML技术作为平台中各种资源描述的统一工具,通过对XML技术中DTD模式匹配方法的研究以及对模式匹配快速算法的改进,提高模式匹配的效率,从而设计出一种有效的信息模式匹配技术模型。通过仿真实验表明该模型可有效地提高网络教育平台中信息匹配的效率,进而为平台中资源的整合与模式的统一提供支持。     

P2P网络中的超级节点选取算法研究

P2P系统在构建覆盖网络时未考虑到与物理网络的结合,导致逻辑拓扑结构与物理拓扑结构严重不匹配问题,增加P2P相邻节点间的延迟。本文提出一种基于区域划分的超级节点选取机制,将P2P网络中的节点按照物理位置划分成若干区域,保证区域内节点在物理位置上是相近的。利用MATLAB进行仿真实验,仿真实验表明使用这种机制能降低半分布式P2P网络的信息检索延迟,有效地提高检索的效率,并且具有较好的可扩展性。     

基于MVC和EF的学位与研究生教育信息管理系统设计与实现

为促进学校学位与研究生教育信息管理水平,在MVC设计模式基础上结合EF(ADO.NET Entity Framework)框架和Ajax技术,探讨学位与研究生教育信息管理系统的设计与实现。系统包括用户管理、学籍管理、课程管理、成绩管理、奖学金管理、导师管理、双盲评审管理和学位信息管理8个模块,具有较好的可用性、稳定性和可扩展性。     

中职编程教学培养学生能力策略谈

从学生学习计算机编程时能力的重要性出发,介绍了教师在进行编程教学时必须注重学生几种能力的培养,并阐述了教学过程中可以采用的几种教学方法。     

高校计算机公共课教学改革探索

计算机公共课作为非计算机专业本科学生的公共基础课程核心之一,在教学组织、教学内容、教学方法、实践环节等方面还存在很多亟待解决的问题。针对目前存在的问题,结合相关的指导性文件,探讨解决的思路及对策。     

校园电子商务系统设计

针对校园电子商务的产生和发展进行了阐述,对校园电子商务的功能模块进行设计和描述,提出了校园电子商务带来的影响,并探讨了校园电子商务在信用、物流、市场规划、管理模式、安全支付等方面存在的问题。     

信息与计算科学专业教学团队的建设与实践——以德州学院为例

结合德州学院信息与计算科学专业教学团队建设的实际,阐述了教学团队的内涵与特征、教学团队的梯队建设、教学团队建设的策略,以及教学团队建设已取得的成果。     

独立学院大学计算机基础课程教学的几点思考

针对当前独立学院大学计算机基础课程教学中面临的一些问题,结合教学实践,提出了分层教学模式,以期更好地为独立学院培养计算机技能上手快,后劲足的应用型人才:对不同层次的对象采取不同的教学内容和方式;面向专业,将计算机基础教学内容模块化,结合专业划分必修与选修模块,在内容深度和广度上更好地为专业服务;教学内容面向实用,兼顾体系,突出重点,精讲精练.     

Ontological reasoning in the design space exploration of advanced cyber–physical systems

Cyber–physical systems are becoming increasingly complex. In these advanced systems, the different engineering domains involved in the design process become more and more intertwined. Therefore, a traditional (sequential) design process becomes inefficient in finding good design options. Instead, an integrated approach is needed where parameters in multiple different engineering domains can be chosen, evaluated, and optimized to achieve a good overall solution. However, in such an approach, the combined design space becomes vast. As such, methods are needed to mitigate this problem.In this paper, we show a method for systematically capturing and updating domain knowledge in the context of a co-design process involving different engineering domains, i.e. control and embedded. We rely on ontologies to reason about the relationships between parameters in the different domains. This allows us to derive a stepwise design space exploration workflow where this domain knowledge is used to quickly reduce the design space to a subset of likely good candidates. We illustrate our approach by applying it to the design space exploration process for an advanced electric motor control system and its deployment on embedded hardware.     

Mine,ours, and yours: Whose engagement and prior knowledge affects individual achievement from online collaborative learning?

In computer-supported collaborative learning research, studies examining the combined effects of individual level, group level and within-group differences level measures on individual achievement are scarce. The current study addressed this by examining whether individual, group and within-group differences regarding engagement and prior knowledge predict individual achievement. Engagement was operationalised as group members' exhibited activities in the task space (i.e., discussing domain-content) and social space (i.e., regulating ideas, actions and socioemotional processes). Prior knowledge and achievement were operationalised as group members' performance on a domain-related pre-test and post-test, respectively. Data was collected for 95 triads of secondary education students collaborating on a complex business-economics problem. Subsequently, three different multilevel models were tested to examine the combined effect. First a model with the individual level measures (model 1) was tested and in subsequent models the group level measures (model 2) and within-group levels measures (model 3) were added. Findings indicate model 2 showed the best fit; group members' individual engagement in the social space activities as well as the groups' average prior knowledge positively predicts individual achievement. No effects were found for either group members' or groups' engagement in the task space and for the within-group differences.