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1.
Although Affirmative Action policies have been enforced in many countries, their consequences are highly understudied, especially in the context of developing economies. Section 12(1)(c) of the Right to Education (RTE) Act enforced in 2009 is the first attempt to introduce affirmative action in primary schools in India. The act requires all private schools to reserve at least twenty five percent seats for children from economically weaker sections. To understand the effect of the act on i) social integration and ii) academic outcomes, we asked 1500 children (grades one to three) from four schools to answer friendship surveys and short tests in Mathematics and English. The schools in our sample vary considerably in constitution and were intentionally chosen to understand the impact of the act in different school settings. The friendship surveys show strong homophily i.e. non-RTE students cite other non-RTE students as friends, while RTE students chose to be friends primarily with other RTE students. Trends in test scores reveal that students admitted under the RTE quota score significantly lower than non-RTE students. However, RTE students who have a higher share of non-RTE friends have better test scores, suggesting that affirmative action may have a positive influence on learning outcomes for RTE children. Further we note that commitment from the school authorities and systematic monitoring and evaluation of the implementation of the act will go a long way in bringing out some of the benefits that this act was designed to achieve. Our findings have important policy implications with respect to ensuring proper implementation of the Section12(1)(c) of the RTE act in schools across the country.  相似文献   
2.
Social media are commonplace in many educators’ lives, but their Instagram activities have received no prior attention in the empirical literature. We therefore created and disseminated a survey regarding educators’ Instagram use. Analyses of 841 responses suggested participants were generally intensive users of Instagram who engaged in the exchange of both professional knowledge and wisdom, as well as affective support. In addition to identifying benefits to Instagram use, some participants offered critiques of Instagram’s professional utility. We discuss the implications of these findings for educators’ work in a digital era and the future of research on educators’ social media activities.  相似文献   
3.
Political polarization remains perhaps the “greatest barrier” to effective COVID-19 pandemic mitigation measures in the United States. Social media has been implicated in fueling this polarization. In this paper, we uncover the network of COVID-19 related news sources shared to 30 politically biased and 2 neutral subcommunities on Reddit. We find, using exponential random graph modeling, that news sources associated with highly toxic – “rude, disrespectful” – content are more likely to be shared across political subreddits. We also find homophily according to toxicity levels in the network of online news sources. Our findings suggest that news sources associated with high toxicity are rewarded with prominent positions in the resultant network. The toxicity in COVID-19 discussions may fuel political polarization by denigrating ideological opponents and politicizing responses to the COVID-19 pandemic, all to the detriment of mitigation measures. Public health practitioners should monitor toxicity in public online discussions to familiarize themselves with emerging political arguments that threaten adherence to public health crises management. We also recommend, based on our findings, that social media platforms algorithmically promote neutral and scientific news sources to reduce toxic discussion in subcommunities and encourage compliance with public health recommendations in the fight against COVID-19.  相似文献   
4.
Social Networking Sites (SNSs) play an important role in our daily lives and the number of their users increases regularly. To understand how users can be satisfied in the complex digital environment of SNSs, this study examines how motivations and emotions combine with each other to explain high satisfaction. Users’ motivations comprise four attributes, entertainment, information, social-psychological, and convenience. Emotions are divided into their two main categories, that is positive and negative emotions. We draw on complexity and configuration theories, present a conceptual model along with propositions and perform a fuzzy-set qualitative comparative analysis (fsQCA). Through an empirically study with 582 SNSs users, we present eight combinations (configurations) of motivations and emotions that lead to high satisfaction, which highlight the role of high convenience, followed by entertainment and information motivations in being satisfied with SNSs. High satisfaction can be achieved both when positive and negative emotions are high and low, depending on how they combine users’ motivations. None of the factors are indispensable to explain high satisfaction on their own, instead they are insufficient but necessary parts of the causal combinations that explain high satisfaction. This study contributes in SNSs literature by extending current knowledge on how motivations and emotions combine to increase satisfaction, and by identifying specific patterns of users for whom these factors are important and influence greatly their satisfaction.  相似文献   
5.
This paper aims to demonstrate how the huge amount of Social Big Data available from tourists can nurture the value creation process for a Smart Tourism Destination. Applying a multiple-case study analysis, the paper explores a set of regional tourist experiences related to a Southern European region and destination, to derive patterns and opportunities of value creation generated by Big Data in tourism. Findings present and discuss evidence in terms of improving decision-making, creating marketing strategies with more personalized offerings, transparency and trust in dialogue with customers and stakeholders, and emergence of new business models. Finally, implications are presented for researchers and practitioners interested in the managerial exploitation of Big Data in the context of information-intensive industries and mainly in Tourism.  相似文献   
6.
[目的/意义]提出一个药物不良反应本体的半自动构建方法,构建的细粒度药物不良反应本体为利用社交媒体挖掘潜在的药物不良反应信号提供语义资源库。[方法/过程]首先,采用业务层次和语言层次相分离的设计理念,将用户在社交媒体中评论的药物不良反应表示成"对象要素-属性要素-描述概念"的形式。细粒度体现在社交媒体用户对药物同一不良反应描述概念表达的多样性上。然后,基于深度学习的思想,利用基于word2vec的描述概念候选词抽取算法自动地抽取出更多的描述概念候选词构建本体。[结果/结论]以糖尿病药物的建模实例表明,提出的细粒度药物不良反应本体的半自动构建方案,提高了本体构建的智能化水平,构建的细粒度药物不良反应本体为利用社交媒体挖掘潜在的药物不良反应信号提供语义资源库。  相似文献   
7.
Web 2.0 allows people to express and share their opinions about products and services they buy/use. These opinions can be expressed in various ways: numbers, texts, emoticons, pictures, videos, audios, and so on. There has been great interest in the strategies for extracting, organising and analysing this kind of information. In a social media mining framework, in particular, the use of textual data has been explored in depth and still represents a challenge. On a rating and review website, user satisfaction can be detected both from a rating scale and from the written text. However, in common practice, there is a lack of algorithms able to combine judgments provided with both comments and scores. In this paper we propose a strategy to jointly measure the user evaluations obtained from the two systems. Text polarity is detected with a sentiment-based approach, and then combined with the associated rating score. The new rating scale has a finer granularity. Moreover, also enables the reviews to be ranked. We show the effectiveness of our proposal by analysing a set of reviews about the Uffizi Gallery in Florence (Italy) published on TripAdvisor.  相似文献   
8.
城市形象是城市竞争力的重要组成部分。依托全球媒体有关广州的报道,对广州城市形象的全球媒体影响力开展实证分析,并从强化政府主导、畅通参与渠道;融入国家战略、提升传播层级;推进科技创新、塑造崭新形象;发展数字产业、夯实传播基础;布局未来传播、增强舆论引导等方面构建提出了增强广州城市形象全球传播能力的对策建议。  相似文献   
9.
[目的/意义]从用户动机视角对Altmetrics指标的本质和价值进行分析,使Altmetrics的应用更为科学合理。[研究设计/方法]首先对相关文献中的动机进行组织提炼与规范化表述。在此基础上引入用户行为理论解释和分析用户动机体现的指标价值。再选取Twitter提及量指标,使用内容分析法进行案例研究。[结论/发现]提炼出19种用户动机,其中有6种动机会降低指标应用价值。[创新/价值]探索Altmetrics数据的产生机制,在一定程度上回答了Altmetrics指标可用性问题。  相似文献   
10.
[目的/意义] 探究用户使用电子书意愿的影响因素,以有助于电子书产业走出缓慢的发展困境。[方法/过程] 以UTAUT2、使用满足理论为基础,从需求满足和外部情景因素两个层面构建影响因素模型,并将需求满足细化为内容需求、社交互动需求和休闲娱乐需求3个测量变量。采用问卷调查方法收集有效样本1 013份,使用AMOS21软件对模型进行验证。[结果/结论] 研究发现,需求满足、阅读习惯、价格价值、社会影响对使用意愿有正向影响作用,而激励措施对使用意愿有负向影响作用,努力期望对使用意愿的影响不显著,并依据研究结果提出促进电子书产业发展的建议。  相似文献   
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