注意力经济下高校图书馆的发展策略   总被引：1，自引：0，他引：1  

董宇昭 《喀什师范学院学报》2005,26(5):100-102

从注意力和注意力经济概念入手,指出了注意力经济对高校图书馆产生的冲击,并提出了高校图书馆应对注意力经济的策略.  相似文献   

Tracing unique trajectories of participation for a ‘girl with ADHD’: from ‘unwilling student’ to ‘agentive learner’     

Ann-Carita Evaldsson  Johanna Svahn 《Emotional and Behavioural Difficulties》2019,24(3):254-272

ABSTRACT

The overall aim of this study is to explore how individual children with long-term school difficulties follow unique ‘trajectories of participation’ in special educational needs settings, sometimes in unexpected ways, and how this contributes to alternative forms of identification and processes of learning. The data draws on long-term video-ethnographic work, tracing trajectories of participation during the course of a school year for an individual girl with an ADHD diagnosis who is a newcomer to a special support school in Sweden. We use a multi-layered theoretical and methodological framework to learning, identities and participation as situated practices to explore how the focal girl, through her everyday participation in classroom contexts structured to amplify the student’s capabilities, gradually moves from an ‘unwilling student’ to an ‘agentive learner’. Through a multimodal interactional analysis, we demonstrate how the focal girl’s actions and the teacher’s scaffolding responses are interactionally organised, and the emotional and relational dimensions in the creation of participation frameworks for learning. It is argued that the student’s agency and emerging emotional engagement in school-based learning are intimately linked to the pursuit of building long-term learning relationships based on mutual trust.  相似文献   

The power of social cues in the battle for attention: Evidence from an online platform for scholarly commentary     

《Journal of Informetrics》2020,14(4):101077

Because humans have limited resources and capacities to digest and comprehend the unprecedented amount of information bombarding today’s world, human attention is a scarce resource and the problem of information overload is becoming increasingly serious. In this study we aim to contribute to an understanding of how humans make decisions about the value of complex sources of information, specifically in the context of online scholarly platforms, online news, and social media. We thus use almost 5000 research-based VoxEU texts, together with the corresponding authors’ characteristics, to test whether, as an evolutionary approach would suggest, author success, skills, and prestige serve as strong cues in readers’ attentional decisions, by analyzing reading, sharing, and searching behaviors. In addition to finding strong support for this assumption, we also show that readers respond to such visual cues as article title, number of words in the abstract, and/or text content, with a clear favoring of figures over tables.  相似文献   

Assessment of attention in school children: teachers' ratings related to tests of attention     

Timothy C. Papadopoulos  J. P. Das  H. M. Nelly Kodero  Veronica Solomon 《欧洲特需教育杂志》2013,28(1):15-32

The paper provides (1) a teacher-administered rating instrument for inattention without confounding the rating with hyperactivity and conduct disorder, and (2) evidence that the ratings correlate with the scores obtained from cognitive tests of attention. In Study I, the first objective was to investigate the construct validity and the inter-rater reliability of the Attention Checklist (ACL) by factor analysing the teacher ratings of 110 Grade 4 children, obtained by using the ACL. The second objective was to investigate the predictive validity of the ACL by examining the relationship between the scores obtained for the participants from teachers' ratings using the ACL and the scores obtained by participants in the lab-type attention tests. The results of factor analysis showed that a single factor labelled ‘inattention’ underlies the 12 items in the ACL. Examining the differences in performance on attention tests, the ‘low attention’ children as rated by the teachers on the ACL scored lower than the ‘high attention’ children on the objective tests of attention. These findings were replicated in Study II, which was conducted to test further the construct validity and predictive validity of the ACL. This time, only those two tests (Auditory Attention and Visual Attention) that had shown relatively poor discrimination between the high and low attention groups in Study I were, again, administered to another cohort of 97 Grade 4 children, as it was our intention to further challenge the reliability of the ACL. Overall, the results of both studies suggest that comprehensive assessment of attention skills should include both ACL and objective measures of selective attention.  相似文献   

论声乐教学中的注意力转移     

更太吉 《青海师专学报》2008,28(2):108-110

文章从歌唱时的呼吸、共鸣、发声、高音的训练、肌肉的紧张与放松、真假声的运用等等方面提出了如何做到歌唱中注意集中和注意分配的统一,如何做到由于注意的集中而产生的紧张性、巧妙地转移注意从而获得松驰性.  相似文献   

Open to suggestions: How organizations elicit suggestions through proactive and reactive attention     

Linus Dahlander  Henning Piezunka 《Research Policy》2014

This paper analyzes organizations’ attempts to entice external contributors to submit suggestions for future organizational action. While earlier work has elaborated on the advantages of leveraging the knowledge of external contributors, our findings show that organizational attempts to attract such involvement are likely to wither and die. We develop arguments about what increases the likelihood of getting suggestions from externals in the future, namely through (1) proactive attention (submitting internally developed suggestions to externals to stimulate debate) and (2) reactive attention (paying attention to suggestions from externals to signal they are being listened to), particularly when those suggestions are submitted by newcomers. Findings from an analysis of about 24,000 initiatives by organizations to involve external contributors suggest these actions are crucial for receiving suggestions from external contributors. Our results are contingent upon the stage of the initiative because organizations’ actions exert more influence in initiatives that lack a history of prior suggestions. Our work has implications for scholars of open innovation because it highlights the importance of considering failures as well successes: focusing exclusively on initiatives that reach a certain stage can lead to partial or erroneous conclusions about why some organizations engage external contributors while others fail.  相似文献   

Contrastive and attentive graph learning for multi-view clustering     

《Information processing & management》2022,59(4):102967

Graph-based multi-view clustering aims to take advantage of multiple view graph information to provide clustering solutions. The consistency constraint of multiple views is the key of multi-view graph clustering. Most existing studies generate fusion graphs and constrain multi-view consistency by clustering loss. We argue that local pair-view consistency can achieve fine-modeling of consensus information in multiple views. Towards this end, we propose a novel Contrastive and Attentive Graph Learning framework for multi-view clustering (CAGL). Specifically, we design a contrastive fine-modeling in multi-view graph learning using maximizing the similarity of pair-view to guarantee the consistency of multiple views. Meanwhile, an Att-weighted refined fusion graph module based on attention networks to capture the capacity difference of different views dynamically and further facilitate the mutual reinforcement of single view and fusion view. Besides, our CAGL can learn a specialized representation for clustering via a self-training clustering module. Finally, we develop a joint optimization objective to balance every module and iteratively optimize the proposed CAGL in the framework of graph encoder–decoder. Experimental results on six benchmarks across different modalities and sizes demonstrate that our CAGL outperforms state-of-the-art baselines.  相似文献   

Multi-heterogeneous neighborhood-aware for Knowledge Graphs alignment     

《Information processing & management》2022,59(1):102790

Entity alignment is an important task for the Knowledge Graph (KG) completion, which aims to identify the same entities in different KGs. Most of previous works only utilize the relation structures of KGs, but ignore the heterogeneity of relations and attributes of KGs. However, these information can provide more feature information and improve the accuracy of entity alignment. In this paper, we propose a novel Multi-Heterogeneous Neighborhood-Aware model (MHNA) for KGs alignment. MHNA aggregates multi-heterogeneous information of aligned entities, including the entity name, relations, attributes and attribute values. An important contribution is to design a variant attention mechanism, which adds the feature information of relations and attributes to the calculation of attention coefficients. Extensive experiments on three well-known benchmark datasets show that MHNA significantly outperforms 12 state-of-the-art approaches, demonstrating that our approach has good scalability and superiority in both cross-language and monolingual KGs. An ablation study further supports the effectiveness of our variant attention mechanism.  相似文献   

Demand forecasting model using hotel clustering findings for hospitality industry     

《Information processing & management》2022,59(1):102816

Tourism has become a growing industry day by day with the developing economic conditions and the increasing communication and social interaction ability of the people. Forecasting tourism demand is not only important for tourism operators to maximize their revenues but also important for the formation of economic plans of the countries on a global scale. Based on the predictions countries are able to regulate the sectors that benefit economically from tourism locally. Therefore, it is crucial to accurately predict the demand in many weeks advance. In this study, we propose a new demand forecasting model for the hospitality industry that forecasts weekly hotel demand four weeks in advance through Attention-Long Short Term Memory (Attention-LSTM). Unlike most of the existing methods, the proposed method utilizes the time series demand data together with additional features obtained from K-Means Clustering findings such as Top 10 Hotel Features or Hotel Embeddings obtained using Neural Networks (NN). While creating our model, the clustering part was influenced by the fact that travelers choose their accommodation according to certain criteria, and the hotels meeting similar criteria may have similar demands. Therefore, before the clustering part, we also applied methods that would enable us to represent the features of the hotels more properly and we observed that 10-D Embedded Hotel Data representation with NN Embeddings came to the fore. In order to observe the performance of the proposed hotel demand forecasting model we used a real-world dataset provided by a tourism agency in Turkey and the results show that the proposed model achieves less mean absolute error and mean absolute percentage error (at worst % 3 and at most % 29 improvements) compared to the currently used machine learning and deep learning models.  相似文献   

六个月定向运动训练对中老年人注意力影响的实验研究     

郑裔军  ZHENGYi-jun 《四川体育科学》2014,(1):62-63,69

通过实验法,对50名50-70岁之间的中老年人进行为期6个月的定向运动训练,收集训练前、训练后注意力广度、注意力分配、注意力转移及注意力集中的数据,结果表明定向运动对提高中老年人的注意力能力具有良好的疗效,为定向运动的推广普及提供心理学理论依据。  相似文献