老年教育的供给体系与实施质量关系积极老龄化的成效,本研究在分析中国老年人口教育需求现状的基础上,探索与之适配的老年教育体系.结果表明未来10年我国人口老龄化形势将更加严峻,老年教育的内容提供与人们对老年教育的需求是不匹配的,老年教育师资不足且与老年人需求存在结构偏离等.最后在此基础上提出与我国国情相适配的老年教育发展对策.

参加学科竞赛是提高大学生创新能力和实践能力的有效路径,具有课堂教学模式不可比拟的优势,是新时代优化人才培养和提高教育质量的关键依托.文章分析了"数学模型"和"数据挖掘"两门课程学科竞赛的知识体系,测度了赛题与学科知识的关联度.在分析了当前人才需求特征的基础上,提出通过实施课程内容重组化、案例教学实战化和竞赛成果学术化的路径,打造以学科竞赛为核心、学术研究为拓展的专业课程教学模式:以竞赛推进专业课程教学,丰富教师教学手段,实现教、学、研相互促进.

With the development of online learning and distance education, online learners' discussions in forums become increasingly effective to facilitate learning. Superposters, who play a more and more important role in forums, have attracted researchers' close attention. The key to the research is how to identify superposters among a large number of participants. Some studies focus on the network interaction of superposters and some content-related features but neglect the basic quality like language expression that a superposter should possess and the learning-related features like learning collaboration. Based on the analysis of online learning corpus, through network interaction and combination of the different features of N-gram, the paper proposed the superposter identification method based on the three primary features including language expression (L), content quality (C), and social network interaction (S) and the eight secondary features including learning collaboration. The paper applied the method in the real online learning forum corpus for identifying 28 preset superposters, achieving the results of P@15=1.0, Avg.P@15=1.0, P@28=0.86, and Avg.P@28=0.95. Experiments showed that this was an effective superposter identification method in online learning forums.

在人工智能时代,智能设备将会对农民工的就业产生巨大冲击.如果农民工不能适应人工智能大环境下职业对从业人员的专业化要求,他们将面临被“智能”设备替代的窘境.如何让农民工符合人工智能时代企业对从业人员的专业化需求,是当前对农民工进行职业教育所要解决的迫切问题.本文结合数据分析对人工智能时代农民工职业专业化教育培训需求及对策进行探讨以期对未来农民工的就业有所帮助.

An instantaneous self-healing method of embedded software components based on cooperative game is proposed.The hidden layer center of the fault diagnosis model is determined by genetic algorithm.Particle swarm optimization is used to optimize the adaptive weights in the fault diagnosis network model.According to the adjustment of weights,the instantaneous fault diagnosis model of the best component is obtained,and the high-precision diagnosis of instantaneous fault is realized.The participants involved in fault self-healing are analyzed,and the schemes obtained by the main agents are combined to obtain the self-healing of non-cooperative game Then all the subjects are used to complete the cooperative game decision-making,and the objective aggregation function of the approach to the ideal solution is taken as the objective function of each participant so as to select the satisfactory solution to the instantaneous self-healing of the component.The simulation results show that the method proposed in this paper is superior to the current method in the instantaneous fault diagnosis of components and the instantaneous self-healing coefficient of software components is controlled at about 0.5,which makes the instantaneous self-healing effect of components reach the best.

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.

What a network learner post on a network learning forum directly reflects the learners’ need during from the network learning process. The network learning supporting service could be greatly improved with mining topics from the forum posts. For this purpose, this paper employs the Learner-Topic (LT) model to mine learners’ posts and discover the topics. The results from the model are used to search the learners who have the same learning interest and recommend the learning resources in a recommendation system.

As the communicative language in internet,network catchword has gained in popularity for its conciseness,practicability,vividness and liveliness.Either from the view of academic research or culture communication audience,the network catchword has drawn much attention from the society.In recent years,the network catchword emerges in an endless stream.Its expressive form changes from simple to diversification.Its expressive intention changes from free network communication,to culture jamming or even to discourse right and so on.The reasons for this evolution consist of the entertainment needs,the life stress release and supervision requirements of netizens.As a cultural form in the digital era,the propagation of network catchword has the following effects on digital cultural communication:the purity of the Chinese,culture communication ethics,social value and the cultural innovation.

Internet language is generated during internet communication,spread in cyberspace,and widely concerned by the society.Convenient and efficient network communication requirements deter-mine the language to be simple,image,casual and innovative.In this paper,the propagation law of in-ternet language is studied by definition and analyzing characters of internet language emotion.Firstly, the spread of internet language emotional expression is affected by social and technical factors.What's more,its transmission widely spreads over the public,establishing a carrier stage for the people to ex-press inner affection so as to promote the popularity of network expression and its dynamic develop-ment,which has important meanings in cyber contacts.

What a network learner post on a network learning forum directly reflects the learners' need during from the network learning process.The network learning supporting service could be greatly improved with mining topics from the forum posts.For this purpose, this paper employs the Learner-Topic (LT) model to mine learners' posts and discover the topics.The results from the model are used to search the learners who have the same learning interest and recommend the learning resources in a recommendation system.

With the development of network distance education ,how to effectively evaluate the network distance learning process has become the concern of all sectors of the society .Combined with the actual network remote teaching experience ,this paper analyzes all the learning processes of network distance education ,discusses how to establish evaluation index centered on learners' learn-ing methods ,learning activities ,level of learning activity and learning results .These indicators are specified into three levels in order to make the evaluation of network learning process operable .

Based on the obvious practicalness of the course of Financial Data Mining ,experimen-tal projects connected with typical financial problems have been designed in accordance with its comprehensiveness and designability respectively ,which results in practical projects of modern fi-nance .And students have improved their capability of team-work ,settling practical problems and writing project report .

In this paper, the spatial behavior of the viscous shallow water equations in a two-dimensional channel domain is studied. A differential inequality for suitable energy associated with the solutions of the viscous shallow water equations in a semi-infinite channel is derived, from which we show the Phragmén–Lindelöf alternative results. The main tool used is the energy method. Our results can be viewed as a version of Saint-Venant’s principle to the transient compressible viscous flow.

In this paper, the logistic regression model is applied to analyze the influence of the factors affecting the Basics of Computer Application and College English B exam results. To model the logistic regression by using the two course exam results as a target variable, the analysis results show that: grade, specialty and learning center have great impact on the Basics of Computer Application, while the grade, learning center, age, specialty and gender are all have very important implications on the College English B exam results..

A novel image cryptosystem by using projection pursuit based blind source separation is proposed in this work, where the plaintexts need to be neither independent nor sub-independent. In the proposed cryptosystem, for encryption, the plaintexts are mixed linearly with each other first, and then mixed nonlinearly with the ciphers. As for decryption, a projection pursuit based blind source separation method is employed. The processes of both encryption and decryption are fast, thus it is suitable for large scale of images. In addition, the ciphers can be used repeatedly. Simulations are given to illustrate the availability and the security of our cryptosystem.

The blow-up of the solution to a parabolic problem with a gradient nonlinearity under Robin boundary conditions,is investigated.An energy function is constructed which satisfies a differential inequality,then a lower bound for blow-up time is derived when the blow-up does occur.

本文针对学生《计算机应用基础》课程统考成绩的影响因素进行基于Logistic回归的多元分析.采用Logistic回归方程对《计算机应用基础》课程统考成绩作为目标变量进行建模分析,结果表明:年级、学习专业、学习中心对《计算应用基础》课程统考成绩影响最重要.