"中文+职业教育"融合模式的提出为国际中文教育和职业教育走向世界提供了创新思路.基于情境教育理论和工作本位学习理论构建"中文+职业教育"SSF构建逻辑理论模型,从结构(Structure)、情境(Situation)和功能(Function)三个方面深入探究国际中文教育与职业教育的融合共通性特征,挖掘"中文+职业教育"融合模式的构建逻辑.为有效提升中国教育影响力与适应力,提出国际中文教育与职业教育需建构中文结构与职教结构交叉的结构逻辑、中文交流与职业交际耦合的情境逻辑、工具理性与人文理性统一的功能逻辑.

职业技术类课程是培养来华留学生职业技能的重要媒介,其涵括的词汇是"中文+职业技能"模式下实现留学生职业技能习得必经之桥梁.以"十三五"职业教育规划书 目基础课程教材为语料库来源,采用TF*IDF算法并对比三种词频阈值确定方式,研制出面向来华留学生职业技能知识学习的中高频词表.为优化职业技术课程词汇教学储备,提供了一种针对"中文+职业技能"专用中文词汇的研究路径.

随着中国国际地位的提高,来华留学生规模正在日益扩大,学习中国文化是每位留学生在华期间的必修课.通过对115位来华留学生进行调研,对不同汉语水平、专业类型、地区、受教育水平以及不同性别的留学生对中国文化的认知过程进行比较,分析了导致认知困难的原因差异,并根据调查结果提出相应对策,为来华留学生提供外部支持,促进跨文化交际,持续提高来华留学生的汉语水平,进一步丰富来华留学生了解中国文化的途径,提高来华留学生的学习动力.

运用CiteSpace软件对我国跨文化教育研究的现状、进展与热点进行可视化分析,结果表明:该领域的发文量随着时间变化基本呈现平稳增长的态势;研究者与研究机构合作较少;研究热点包括跨文化教育、多元文化教育、多元文化、大学英语教学、跨文化适应、跨文化交际、教育人类学、全球化等.跨文化教育研究应该把握我国教育对外开放以及少数民族教育价值观与政策方面的研究态势,加强学科建设,以立足国情、放眼世界的态度寻找研究方向.

目前,国际中文教育线上教学一般有三种模式:直播、录播及直播录播混合式.只要条件允许,一般线上教学多采用直播模式.国际中文教育的学生,很多都身在海外,由于时差和网络的影响,直播存在很多困难,录播就成了主流模式.本文针对国际中文教育录播课课堂管理与教学,提出了CARE(Communicate-Audit-Review-Environment)模式,如下图所示.

翻转课堂将传统课堂教学结构重置,秉持“先学后教”的理念,是信息化教学改革的有效手段.反向设计法认为最有效的课程设计应该是反向的,教师从最终预期目标出发设计出达到预期目标的标准和学法,最后确定教法,达到“以学定教”,最大化地实现以学生为中心,以学习效果为中心.该文在翻转课堂模式中引入反向设计理念,实现“先学后教,以学定教”的深度结合,构建基于反向设计的翻转课堂模式,并在大学数据结构课程中进行教学实践.问卷调查结果表明:基于反向设计的翻转课堂模式教学效果显著.

为了解来华留学政府奖学金学生的数学素养,首次采用PISA(program for international student assessment,国际学生评估项目)试卷对来华留学预科生进行了大规模测试.PISA测试成绩结果表明:男生比女生的数学素养要好;不同专业的留学生数学素养存在差异;不同国家、不同洲别的留学生数学素养存在差异;留学生的总体数学水平还偏低.通过调查问卷结果得出了预科生数学学习的一些基本情况.为更为有效的开展来华留学预科教育提供了重要的参考依据.测试也从一个侧面反映出了当前世界各国在中等教育阶段数学的教育水平.

从塞尔维亚现有的中文影视资源出发,通过资料收集、数据整理的方法,分析中文影视作品应用于汉语教学中的优势和合理性,在此基础上提出具体的教学策略及反思,并结合影片《妖猫传》进行具体的课堂教学展示以及效果反馈.影视作品应用于汉语教学具有视听结合的直观效果和跨时空的优越性,在海外汉语教学中具有更强的传播性,应该加大研究和应用力度.

基于汉字意象教学模型,利用joomla设计实现了汉字意象学习平台.主要先阐释了汉字的组织形式,构建汉字意象教学模型与汉字新说语库,运用joomla k2文章管理组件中的社会化标签实现汉字的分级、汉字意象检索及多级关联功能,并且利用k2组件中的内容管理使用户对汉字意象词句进行社会化评论,最终实现一个有助于提高对外汉语教学效果的汉字意象学习平台.

首先分析了基于Sakai平台的社会化网络学习要素(包括环境、资源、活动、评价),接下来构建出基于Sakai平台的社会化网络学习模型,进一步对社会化网络学习模型具体过程进行分析,深入探究了具体过程中包含的核心知识的学习、分散的非正式学习和循环流动三个阶段,并开展了社会化网络学习的实证研究.

In order to visualize pronunciation teaching and explore the law of articulation evolution in TCFL (Teaching Chinese as a Foreign Language), we proposed an approach to design a physiology Mandarin speech corpus for the international preparatory students in China. Preparatory students are usually beginners to learn Mandarin, so they are selected as testers to gain the most real law of Mandarin articulation evolution. The corpus was different from an ordinary speech corpus. It consisted of not only text information (such as age, gender, nationality, mother language, Mandarin learning experience, etc.) and audio information, but also the physiological data (such as speech organs’ moving morphology). When the corpus was constructed, data were gathered by a supersonic collecting system because of its safety and low cost. In the initial experiment, 21 initial consonants, 36 simple or compound vowels and tones were tested. The results showed the corpus was significant in Mandarin teaching.

An Instructional System on Imagery of Chinese Characters (ISICC) was designed and implemented to overcome the difficulties for foreigners in learning Chinese characters in this paper. Imagery of Chinese Characters (ICC) referred to a kind of Chinese character psychological image constructed to discover the relationship between character structure and character meaning according to the theory of etymology and modern life grounds, using the character structure as the point of departure. The construction of the corpus of ICC was a core to ISICC. The ICC items of the corpus were gathered from teachers in teaching Chinese as a foreign language and the foreign learners. It didn't pursue whether consistent with the Chinese character's origin or not. The ICC items displayed according to the priority which would be evaluated by social voting, not by experts. In addition to the common organizing methods of pinyin, stroke, but also we presented a new three-level Chinese characters components expansion approach, as is useful to associative memory for foreigners.

As the development of network information technology,modern education,teaching and learning methods have changed;social video share website provides an open,interactive,shared digital learning platform for self-regulated learning.The paper introduces the process of self-regulated learning using social video firstly,and then elaborates the long tail phenomenon of learning video materials on selflearning for agricultural mechanization in the social video share website.Finally,according to some principles for flourishing the long tail market,concrete suggestion is presented including cost reduction,effective filtration and information sharing for the self-regulated learning using social video.

This paper details on the long tail phenomenon of learning video materials in the social video share website firstly,then it reasons out there exist the long tail phenomenon in the several important areas of learning field,such as,learning materials,learning storage capacity and learning patterns.Therefore the learning view based on the long tail is proposed,and discussed from technology support learning,informal learning,creating tools,spreading tools,filtering mechanism,learning ecology and attention distribution.

提出了一种结合词频分析和领域专家,适用于中华传统文化国际传播的领域本体构建方法.以太极拳为例,以CNKI论文数据库为数据源,运用频次统计对论文关键词进行分析,概括出太极拳研究领域的热点词汇,再经过领域专家筛选,补充基本术语和日常用语,形成太极领域比较完整的词汇表.

This thesis uses CNKI Chinese Journal database as resource,period from Jan 1st,2002 to July 10th,2012 and title is Instructional Designto search,get the result include 5185 articles.First make the frequency analysis,and utilize NetDraw to get knowledge map.Second focuses on SPSS19 to make Cluster analysis and ALSCAL,which get lots of result.By analyzing these results,we give the discussion about hot issues for instructional design and also give the main trend of development.

This paper takes the advantage of the property that the shadow will not obviously change the surface texture of object and presents a method based on texture feature consistency of shadow for image splicing detection. First, texture features of shadows areas and its adjacent lit areas are extracted. Then, the Euclidean distance is used to measure the similarity of texture features. Last, a texture features fusion framework integrating multiple texture cues for forgery detection is proposed to improve algorithm performance, robustness, and adaptability. Experimental results show that the algorithm is simple and effective.

This thesis uses CNKI Chinese Journal database as resource,period from Jan 1st,2002 to July 15th,2012 and title is "High-Vocational Education" to search,get the result include 3553 articles.First make the frequency analysis,and utilize NetDraw to get knowledge map.Second focuses on SPSS19 to make Cluster analysis and ALSCAL,which get lots of result.By analyzing these results,we give the discussion about hot issues for High-Vocational Education and also give the main trend of development.

With the development of computer graphic techniques and smaller visual difference between photographic images (PG) and computer graphics (CG), splicing of computer graphics and photographic is becoming more common, which causes the need for automatically distinguishing computer generated images from real photographs. Based on several visual features that derived from color, texture and shape feature, using posterior probability support vector machine (PPSVM), this paper presents a method for classification of photographic image and computer generated images, and detection of local forgery composite of them. These features are obtained from 800 computer generated images and 800 photographs, and used to train and test the image samples with the PPSVM. The PPSVM can calculate the probability of image belonging to photographic images or computer generated images. We can achieve the result of classification by setting a threshold of probability. The classification accuracies for color, texture and shape features are 76.75%, 85.25% and 69% respectively. The accuracy is improved to 89.375% with combined color, texture and shape features. The proposed classification method is used to detect the local forgeries composite of the CG elements in photographic, and vice visa. Experimental results show that the proposed method is efficient with good detection rate of local forgeries composite of the PG and the CG. It also possess low dimensional features and low time complexity.

连接主义的生态观,作为连接主义学习理论的一个独特视角,对了解其内涵起着举足轻重的作用。连接主义的生态观通过学习生态、学习共同体、学习多样性、知识共享环境、知识流动循环、组织生态、学习生态设计等多角度地体现出来。对分解者的作用,学习共同体、学习资源生态、学习技术等建设具有重要的启示作用。