科学探究学习已成为我国科学课程改革的核心.WISE为方便在课堂教学中实施科学探究学习活动提供了一个基于网络技术的学习环境,但将国外的基于技术的学习环境引入我国的科学课堂将会出现怎样的问题?本研究以"全球气候变化"项目为例在广州的两所学校进行了教学应用研究.研究首先将课后专家点评作为数据,采用扎根理论中开放式编码的方法,分析实施WISE科学课程时存在的问题,其后以分析学生前后测的成绩来检验学习效果.本研究发现将WISE系统应用于我国科学课堂的教学会存在三个方面的问题:教学方法问题、 教学内容问题和技术平台的问题.作者认为网络环境下的教学方法是其中最为重要的问题,对WISE系统和基于技术的探究式教学模式在我国中小学科学教学中的成功应用有着重要的影响.本研究亦将为STEM教育在中国的发展提供参考.

Nowadays,STEM education is developing rapidly in China.There are many advantages in using STEM network educational platform.The investigation shows there is a certain use of STEM network educational plat-form,but it requires improvement.The influencing factors of teachers'use of STEM network educational platform are studied.First,the model is built based on UTAUT model and interview.Then,empirical research is designed,and the data analysis is conducted using SPSS17.0 and Mplus7.0.The results show that behavior intention and facilita-ting conditions have a positive influence on use;Performance expectancy have a positive influence on behavior inten-tion;Effort expectancy and social influence have a positive influence on performance expectancy;The gender,teaching age,experience and voluntary have a moderating effect on related paths.The built model has good explanatory pow-er.Overall,our model accounts for 74.1%of the variability in teachers'intention to use micro-lecture.Out of 18 for-mulated hypotheses,1 1 are supported by the data.The result has certain enlightenment for the proper use of STEM network education.

The spatial and temporal separation characteristics of online learning not only make learners lack the presence of classroom teaching, but also make learners feel lonely during learning. The emotional analysis of learners is helpful for the Learning support services provider to online learning support services. In the online learning forum, the Learner's post information is the direct carrier of learner's emotional sustenance. Therefore, the analysis of learners' emotion is the analysis of the learners' posts in the online learning forum. This paper collects 1.1 million posts of online corpus (Dataset DI and DII). Based on the support of emotional dictionary, this paper uses the data mining method to analyze the learners' emotion. It is found that: (a) the proportion of negative emotions of online academic education and online training learners is 6.35% and 5.12% respectively, but the positive emotion is 27.02% and 90.91% respectively; (b) The proportion of negative emotions in each test course of DI is higher, which reflects the greater learning pressure; (c) The learning support service forum is the most number of concerned on and negative emotion, indicating that learning support services to be further strengthened.

Many studies have confirmed that the role of online learning collaboration group is very important. For large-scale online learning, how to effectively find the learning collaboration group is a difficult problem. The online learning forum is the main place for learners to learn and communicate, so it is the main venue for learning collaboration groups to implement collaborative learning. In the implementation process of learning collaboration, there are two characteristics between learning team members. First, there is interaction between them. Second, the contents of their discussion have high relevance. In this paper, the study uses these two important characteristics and carries out two-stage clustering algorithm based on the interaction structure and interactive contents of learners to find the potential learning collaboration groups in the large-scale online learning forum. The experimental results show that the method proposed in this paper is effective. This has practical significance for large-scale online learning support services.

This paper discusses waste production of recycled aggregate concrete is used as the recycled concrete, experiment with different recycled aggregate instead of natural aggregate, the ratio of recycled concrete workability and compressive strength etc performance compared with ordinary concrete, analyzing the change of the recycled aggregate replacement rate on the influence of concrete strength.

This paper summarizes some of the research results at home and abroad of waste concrete processed into regeneration aggregate,reproduction recycled concrete and normal concrete performance influence,this paper puts forward the comprehensive use advice,to further promote the regeneration concrete research and application in engineering.

Network scalability and energy efficiency in wireless sensor networks should be supported by elaborate topology control. Clustering algorithms are useful topology management approach to reduce communication overhead and exploit data aggregation in wireless sensor networks. A clustering algorithm based on cell combination is presented in the paper for the networks where sensor nodes are distributed densely and the energy of nodes is always limited. In the algorithm, the monitoring region is divided into hexagon cells by utilizing the geographic location information of sensor nodes. Each cluster is formed by at least seven hexagon cells and it shapes nearly like a circle to improve channel reuse and energy efficiency. Nodes with the same cluster identity form a cluster and the cluster head in each cluster is elected from the central cell of each cluster. The simulation results show that the proposed algorithm provides high energy efficiency and low latency and prolongs network lifetime efficiently.

在大学英语教学过程中,写作是比较薄弱的一个环节.各高校使用的教材对于学生写作技巧与方法的训练缺乏系统性,因此,有效指导大学生在课外进行大量写作实践十分必要.网络为教师与学生之间的交流提供了最有效的平台,也为英语写作提供了大量的素材和学习资源.

本文从引入知识点、讲授知识点、到分段小节等环节用案例分析的方式,讨论了理念教学法在高等数学教学过程中的应用及效果。

文中阐述了实验示范中心在实验教学改革和促进实验室建设的思路,探索实验教学中的设想和做法,建立现代化的高效运行的管理机制,全面提高实验教学水平,培养应用型、复合型、综合型人才.

把电脑游戏设计作为一种教育活动形式的理念正日渐风行,基于电脑游戏设计的课堂教学包括游戏设计工具的选择、游戏制作流程的设计以及课堂教学设计等几个环节,本文利用游戏设计工具Expgen在小学信息技术课堂上进行了教学应用,并对教学效果进行了分析.

The comprehensive experiment project of multimedia software design and development divides the whole project into such procedures as topic selection,framework design,final works,and the corresponding guiding and feedback are provided.The essence is a process of building a scaffold for learners so as to deepen the understanding and application of learners gradually.

In the past few years, the volume of junk information on the internet has grown tremendously, researchers’ begun to handle this issue. In this paper, DCM(Discriminative Category Matching) algorithm is employed to filter the web information according to the content of information. To our knowledge, the algorithm is the first introduced into filtering. It takes the relative importance of a feature in a category, across categories and the average importance of a feature in a category into account, and modifies the traditional TF-IDF term weighting scheme to compute the domain class central vector. Experiments indicate that the algorithm is suitable for information filtering.

随着现代远程教育发展,其教学质量的保证和教学过程的监控受到社会越来越多的关注。本文将就现代远程教育的教学质量和教学过程进行一些积极的探讨。

It uses the existent mechanism of bandwidth management to allocate the bandwidth for completed flows by weighted fairness. We not only provide admission control to satisfy their minimum channel time requirements, but also adjust their channel time dynamically. In addition, our scheme can be used in multi-hop wireless networks. We compare throughput and fairness index between max-min fairness and weighted fairness in the same mechanism. The example shows that we can reach more network benefits while considering the user's right and the tradeoff in efficiency and fairness

There are having some limitations in classification speed and result in current classification method.So this paper employ DCM method and the Modern Chinese Corpus of State Language Commission as training set for Chinese text classification,which results in 90.35% average in open test experiment,(with 90.87% average precision) and 98.36% average in close test experiment(with 98.74% average precision).All that proved that the DCM algorithm is excelled other current method of Chinese text classification.

At present sequential minimal optimization (SMO) algorithm is a very efficient method for training support vector machines (SVM). However, the training speed of SMO is very slow for the large-scale datasets. Analyzing the varieties of the objective function in SMO iterations, we propose a novel improved SMO algorithm in this paper, where the changed value of the objective function is taken as the termination condition. Experiments on several benchmark datasets have been done and the results show that the training time of the proposed algorithm is reduced greatly, especially for the large-scale problems.

本文介绍了在向量空间模型下,使用Cosine-Measure和OKAPI-Measure两种不同的相似度评测方法,来评测查询与文本之间的相关性。通过针对10字以内的短查询的实验分析,作者发现在相同召回率的情况下,使用OKAPI法来计算相似度得到的检索结果,准确率要比Cosine法的高。