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1.
Divergent Thinking is a domain-general mental attribute closely associated with creativity that can be quantified through the use of text-mining algorithms. Past research has shown that students’ Divergent Thinking is malleable in response to relatively simple contextual prompts. In addition, there is substantial variance in the degree to which individual students’ Divergent Thinking is malleable, suggesting the presence of a student-specific zone-of-proximal-development in relation to creativity. Here, we adopted a dynamic assessment paradigm that included multiple conditions under which student Divergent Thinking was measured and fit a latent profile analysis model to that dynamic assessment data. We found that, although on average the Originality of student responses can be augmented through a prompt to generate surprising or unusual ideas, three latent classes emerged that differed significantly on their patterns of augmentation. These three latent classes were termed: (a) Conventional Thinkers (7.80% of the sample), whose response to the Divergent Thinking task were highly constrained and unoriginal across all conditions (b) Prompted Shifters (66.56%), whose Originality significantly increased across conditions, and (c) Idea Generators (25.64%), whose responses were highly original across all conditions. These latent profiles were validated in regard to personality characteristics and domain-specific creative activities, with Idea Generators reporting significantly more Openness and Intellect, less Industriousness, and more creative activities across the domains of Literature, Music, Sports, Visual Art, Science, and Cooking than did the other latent classes.  相似文献   
2.
绿色创新是实现资源型城市经济增长、环境保护、社会和谐的有效途径,而构建资源型城市绿色创新能力评价指标体系是对资源型城市绿色创新能力进行评价的重要环节。本文以国内外具有代表性的机构和文献中的绿色创新能力高频指标为基础,根据绿色创新能力的内涵,结合资源型城市发展特点,海选70个数据可观测的指标,通过数据的正态分布检验后,选取非参数统计方法的灰关联系数与spearman分析方法定量筛选指标。既保证了指标之间信息不重复,又能显著影响评价结果,同时避免了现有研究忽略筛选方法使用条件就加以应用的弊端。以10个典型资源型城市2016年指标数据为样本,筛选并构建了包含27个指标的资源型城市绿色创新能力评价指标体系,验证了筛选方法的可行性和有效性。最后提出了相应的政策建议。  相似文献   
3.
The business process outsourcing industry has got disrupted, first by the significant shift in value creation activities from the clients to the service providers, and second by pervasive digital penetration, resulting in the emergence of Digital Transformational Outsourcing (DTO). Service providers now play a more significant role, making their capabilities important. In the new context, service providers require a uniquely different set of dynamic capabilities to handle end-to-end business functions on behalf of their clients while delivering digital value propositions.We study 26 of the largest global business process outsourcing providers to conceptualise and identify six dynamic capabilities of service providers salient in the new context, i.e., consultative, orchestration, insights, network management, knowledge access, and standardisation. Interviews conducted with industry experts provided evidence in support of the identified dynamic capabilities. A novel firm capability dataset was created using secondary data, and using fuzzy-set Qualitative Comparative Analysis (fsQCA), we identify configurations for high and low performance and find them to vary by the firm's broad/narrow scope.  相似文献   
4.
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   
5.
张熠  耿冰倩  张翼 《现代情报》2019,39(8):73-83
[目的/意义]构建基于用户体验视角的学术虚拟社区评价指标体系,既有利于提升学术虚拟社区的知识服务水平,也有利于提高其影响力与竞争力,对于学术虚拟社区的持续健康发展具有重要意义。[方法/过程]本文从用户体验视角出发,以D-S证据理论为基础,运用D-S证据合成方法,构建用户体验视角下学术虚拟社区评价指标体系,并计算各级指标的权重系数。[结果/结论]最终得到包含8个一级指标和24个二级指标的学术虚拟社区评价指标体系。其中,可靠性权重为0.2568,易用性权重为0.0625,规范性权重为0.0407,互动性权重为0.0888,关怀性权重为0.1176,丰富性权重为0.0322,有用性权重为0.1784,时效性权重为0.2230。最后以小木虫为例进行了评价分析。  相似文献   
6.
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   
7.
借鉴ACSI顾客满意度测评指数模型,结合中国群众性马拉松赛事的特点,运用探索性因子分析法建立中国马拉松赛事参赛者满意度测评指标体系,基于此,构建中国马拉松赛事参赛者满意度测评指数模型。研究发现:中国马拉松赛事参赛者满意度测评指数模型的指标包括参赛者期望、硬服务质量感知、软服务质量感知、感知价值、参赛者满意度、参赛者抱怨、参赛者忠诚度7个因素。就各个自变量对中国马拉松赛事参赛者满意度的影响路径来看,参赛者对服务的预期通过对软服务质量感知、硬服务质量感知间接正向影响中国马拉松赛事参赛者满意度;参赛者的服务质量感知既直接又间接地正向影响参赛者的满意度,参赛者的软服务质量感知通过硬服务质量感知和感知价值间接正向影响参赛者的满意度,参赛者的硬服务质量感知通过感知价值间接正向影响参赛者的满意度。就各个自变量对中国马拉松赛事参赛者满意度的影响程度而言,参赛者的软服务质量感知对其满意度影响最大,其次依次为硬服务质量感知、服务期望和感知价值。  相似文献   
8.
Introduction: Many studies in physical education (PE) have sought to identify and categorize the modes of student interaction in order to gain greater insight into the nature of cooperative activity. More others recent studies have examined how modes of interaction evolve on the basis of the modes of collective activity that they generate. These studies have shown to describe and explain the interactions among individuals and the processes they generate, which then lead to the construction, deconstruction or reconstruction of different interaction modes. Although some studies have sought to describe the dynamics of student interactions, very few have quantified these dynamics. By doing so, however, researchers might gain a new perspective on student interaction modes that inspires new designs for teaching in PE, thereby having professional impact. The present study extends this research by investigating the dynamics of student interaction, with a focus on the emergence of interaction modes during orienteering lessons. For this purpose, the study was conducted within the methodological framework of course of action theory, which is an effective approach for examining activity in natural situations to provide insight into the experience of activity from the actors perspective.

Method: The study was conducted in two classes of seventh-grade students (about 12 years old) in which 16 students volunteered and were available for post-action interviews immediately after the lessons under study. These volunteers were placed in eight affinity-based dyads. The teachers planned orienteering lessons at similar levels of difficulty and duration but modified the lessons across a range of contextual features. Two categories of data were collected: (1) data from audiovisual recordings as the students searched for the checkpoints and (2) verbalization data during the post-action interviews with the students. The data were processed in two steps: one qualitative, the other quantitative. The qualitative step consisted of processing the data of the student experiences to characterize their interactions in the three different contexts. In the quantitative step, the data from the first step were graphically represented to depict the interaction dynamics within the student dyads.

Results and discussion: The qualitative analysis showed the emergence of three modes of student interaction shared across each learning context: co-construction, confrontation and delegation. The quantitative analysis revealed the percentages of the different modes of interaction and therefore characterized the interaction dynamics. Our results showed that the interaction dynamics within the dyads were both unique and similar in the task contexts in terms of both ratios of change and distribution. Results are discussed across two major points of interest: (1) the observation of the same interaction modes whatever the context yet with quite different dynamics and (2) proposals for PE teacher interventions.  相似文献   

9.
The development of artificial intelligence (AI) technology expands the boundary of business practice, inducing the emergence and application of business intelligence (BI) that has promoted the transformation of information techniques to optimize business decision and operation. However, there is a lack of theoretical consensus and measurement of the technology embedded in BI at present. This study exploratively develops the Sense-Transform-Drive (STD) conceptual model of BI based on dynamic capabilities theory and organizational evolutionary theory to explain the core BI capabilities. By using factoring analysis and structural equation modeling analysis, we extract the latent constructs and empirically verify the validity of the STD model and further examine the correlation and mode of interaction of the three core BI capabilities and the impact of BI application on firm performance in the real economy with a sample contextual to Chinese business practices. The study results show that there are direct and high-intensity cumulative positive effects among the structural components of the STD conceptual model and BI-related dynamic capabilities can enhance operating efficiency and firm performance.  相似文献   
10.
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   
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