高职院校课程思政教学改革路径探析     

凌双英 《安徽职业技术学院学报》2020,(1):9-11

全国高校思想政治工作会议和全国教育大会的相继召开,进一步推动了高校思想政治教育改革,高职院校也正在从思政课程走向课程思政,促进社会主义核心价值观教育贯穿于全员、全课程、全过程。高职院校开展课程思政教学改革的有效路径是建立课程思政教育体系,加强师资队伍建设,创新教学方法与手段,增强课程思政教学评价。  相似文献   

坦桑尼亚县域与城乡交通通达水平空间格局特征     

张家旗  陈爽  高群  ISMAEL A. Kimirei 《中国科学院大学学报》2019,36(6):766-773

坦桑尼亚是"一带一路"倡议通向非洲、辐射非洲内陆的重要门户，它在快速城市化过程中面临交通基础设施严重短缺问题。基于坦桑尼亚公路、铁路、机场、港口、人口和城市分布数据，运用GIS空间分析技术，结合交通通达指数模型，从县域与城乡两个层面对坦桑尼亚交通通达水平的空间格局特征进行定量分析。研究发现：1）坦桑尼亚县域交通通达水平空间分布极不均衡，高值连片区主要位于东北沿海和维多利亚湖沿岸，低值连片区主要位于中央铁路线中段以北、中央铁路线南部的广大地区；2）受地理区位、资源禀赋、殖民历史、政府政策等影响，城市与乡村地区之间的交通通达水平差异十分显著。研究结果有助于坦桑尼亚制定区域交通发展政策和优化资源配置，同时对中-坦产业精准对接和产能转移具有一定的促进意义。  相似文献   

Digital Module 05: Diagnostic Measurement—The G‐DINA Framework https://ncme.elevate.commpartners.com     

Wenchao Ma  Jimmy de la Torre 《Educational Measurement》2019,38(2):114-115

In this ITEMS module, we introduce the generalized deterministic inputs, noisy “and” gate (G‐DINA) model, which is a general framework for specifying, estimating, and evaluating a wide variety of cognitive diagnosis models. The module contains a nontechnical introduction to diagnostic measurement, an introductory overview of the G‐DINA model, as well as common special cases, and a review of model‐data fit evaluation practices within this framework. We use the flexible GDINA R package, which is available for free within the R environment and provides a user‐friendly graphical interface in addition to the code‐driven layer. The digital module also contains videos of worked examples, solutions to data activity questions, curated resources, a glossary, and quizzes with diagnostic feedback.  相似文献   

Neural embedding-based indices for semantic search     

Fatemeh Lashkari  Ebrahim Bagheri  Ali A. Ghorbani 《Information processing & management》2019,56(3):733-755

Traditional information retrieval techniques that primarily rely on keyword-based linking of the query and document spaces face challenges such as the vocabulary mismatch problem where relevant documents to a given query might not be retrieved simply due to the use of different terminology for describing the same concepts. As such, semantic search techniques aim to address such limitations of keyword-based retrieval models by incorporating semantic information from standard knowledge bases such as Freebase and DBpedia. The literature has already shown that while the sole consideration of semantic information might not lead to improved retrieval performance over keyword-based search, their consideration enables the retrieval of a set of relevant documents that cannot be retrieved by keyword-based methods. As such, building indices that store and provide access to semantic information during the retrieval process is important. While the process for building and querying keyword-based indices is quite well understood, the incorporation of semantic information within search indices is still an open challenge. Existing work have proposed to build one unified index encompassing both textual and semantic information or to build separate yet integrated indices for each information type but they face limitations such as increased query process time. In this paper, we propose to use neural embeddings-based representations of term, semantic entity, semantic type and documents within the same embedding space to facilitate the development of a unified search index that would consist of these four information types. We perform experiments on standard and widely used document collections including Clueweb09-B and Robust04 to evaluate our proposed indexing strategy from both effectiveness and efficiency perspectives. Based on our experiments, we find that when neural embeddings are used to build inverted indices; hence relaxing the requirement to explicitly observe the posting list key in the indexed document: (a) retrieval efficiency will increase compared to a standard inverted index, hence reduces the index size and query processing time, and (b) while retrieval efficiency, which is the main objective of an efficient indexing mechanism improves using our proposed method, retrieval effectiveness also retains competitive performance compared to the baseline in terms of retrieving a reasonable number of relevant documents from the indexed corpus.  相似文献   

一种改进的基于峭度指标的FastICA算法     

孟令博  耿修瑞  杨炜暾 《中国科学院大学学报》2019,36(3):410-416

基于峭度指标的FastICA算法具有较快的收敛速度和较高的计算效率，被广泛应用于多光谱图像的特征提取。经典的FastICA算法基于固定点迭代法得到图像的各个独立成分，在迭代过程中，每一个独立成分的求解都需要所有像元的参与。因此，当数据量较大或图像中像元较多时，FastICA的计算量很大，此时它的速度优势就会大打折扣。遥感数据一般都具有较大的尺寸，因此如何将FastICA直接应用于遥感数据，是一个具有实际意义的问题。通过引入多光谱图像协峭度张量的概念，将FastICA的固定点迭代问题转化为代数形式的张量计算，避免每次迭代过程中需所有像元参与的缺陷，因而大大降低计算复杂度。多光谱图像实验结果表明，该算法明显快于传统的基于峭度指标的FastICA算法。  相似文献   

基于“立德树人”的我国青少年体育品德评价指标体系构建研究     

汤利军  蔡皓 《武汉体育学院学报》2019,53(10):75-80

运用文献资料法、问卷调查法、德尔菲法、层次分析法等研究方法，以人的全面发展理论、马斯洛的需要层次理论、道德认知发展心理学理论为基础，以国家出台的各类关于学生道德、品德发展的文件、中小学生手册和奥林匹克精神等为依据，构建出青少年体育品德评价指标体系。指标体系包括体育精神、体育品格、体育道德行为3个一级指标，爱国主义精神、集体主义精神、竞争开拓精神、拼搏进取精神、团队合作精神、创新精神、法制精神、爱、志、信、义、体育道德意应能力、体育道德创造能力和体育道德自我教育能力14个二级指标，并采用层次分析法分析出各指标的权重。青少年体育品德评价指标体系具有一定的科学性、适用性及操作性。  相似文献   

网络舆情衍进指数构建与实证分析   总被引：1，自引：0，他引：1  

黄微  朱镇远  许烨婧  孙悦 《图书情报工作》2019,63(20):26-33

[目的/意义]提出和构建网络舆情衍进指数，以描述网络舆情演化过程中常衍生出新的子话题的现象，对于舆情预警、预测具有重要的理论及实践意义。[方法/过程]以文本聚类结果和文本聚类有效性为依据，提出网络舆情衍进的判别标准和舆情衍进指数的构建过程，并以"教科书老赖"这一事件作为样本数据进行实证分析。[结果/结论]所构建的舆情衍进速率指数可以用于描述舆情衍进。在突发期阶段话题舆情衍进指数最高，此后逐渐下降，这一阶段的舆情衍进最为剧烈，子话题的出现呈现爆发性增长；舆情衍进指数在舆情蔓延期内出现阶梯式下降，此后保持为负值，舆情的子话题开始逐渐减少，舆情内容本身由发散转为收敛；进入消散期后，子话题数量趋于稳定。作为舆情衍进速率的测度和舆情衍进的判别方式，舆情衍进指数为舆情监管和舆情预警提供了全新的角度。  相似文献   

指向武术核心素养的中小学武术有效教学策略与方法设计     

柴广新  孙有平 《武汉体育学院学报》2020,54(4):87-92

为了有效促进学生武术核心素养的培育,针对我国武术教学中存在套路内容“繁难”、教法单一、重“形”轻“击”、重知识灌输,轻自主性培养、重教师的“教”,轻学生的“学”“学生不喜欢武术课”等一系列问题,提出了有效促进武术认知、武术运动能力、武术人格培育的原则,基于此原则,对“化难为易”策略、“化浅为深”策略、“化无趣为有趣”策略、“化技术为实践”策略、“知新温故”等策略进行了具体探索性设计,并对上述策略的具体实施方法进行了阐述,为中小学武术教学改革提供现实指导。  相似文献   

我国体育产业核心竞争力发展策略研究     

云〓峰 《广州体育学院学报》2019,(2):61-63

改革开放以来，我国体育产业从无到有一路发展，在成为受国家重视的重要产业的今天，相比国际体育产业发达国家，我们仍然处于明显的劣势，即便是国内的中、高端体育消费市场也几乎被国外大品牌企业占据大半，更不用说我们的企业走出国门了。然而我们的体育产业依然有着潜在的核心竞争力，为了将这种竞争力变成现实的力量，我们必须积极营造成熟、规范的体育消费市场；积极发挥竞技体育发展水平的优势；积极与国际知名企业合作，实现互利共赢。  相似文献   

Role of teacher-related factors and educational resources in science literacy: An international perspective     

《Studies in Educational Evaluation》2020

The study evaluated the relationship among teaching, leadership, teacher certification, student and teacher number related factors, and index of economic, social and cultural status (ESCS), and science literacy from an international comparative perspective. 2015 dataset of the Programme for International Student Assessment for Turkey, Singapore, the United States, Korea, Italy, and Brazil was used. Two-level hierarchical linear models were established for analysis. Results revealed that school ESCS was the best predictor of science literacy across six countries and additionally teacher-related factors came to the forefront of science literacy performance. The study underlined policymakers should focus primarily on policies that increase equity in education. Furthermore, the effectiveness of investments made in factors related to leadership, teacher certification, the number of students and teachers, which contribute very little to science literacy performance, need to be more questioned. Inferences about the findings were discussed in detail, and recommendations for further research were made.  相似文献