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Davis Robert O. Wan Li Li Vincent Joseph Lee Yong Jik 《Educational technology research and development : ETR & D》2021,69(5):2331-2352
Educational technology research and development - Educators use various strategies to increase listening comprehension for nonnative English speakers in the classroom and multimedia environments.... 相似文献
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电子现金作为一种重要的电子支付手段，得到了深入广泛地研究。目前已经有很多种解决方案，但由于很多原因电子现金仍没有得到普及。其中的一个原因是消费者从银行账户中取出一定金额的电子现金后，银行不再为其支付利息，消费者损失了这部分利息。针对这一问题，本文提出了一个可计息的离线电子现金方案，该方案可计提取电子现金到支付期间的利息，弥补了消费者利息的损失，而且在离线的状态下完成电子现金的支付，减少了通信成本。 相似文献
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自20世纪80年代以来,我国老年教育研究已成为构建终身学习型社会中的重要使命和责任担当。目前尚未有文献对我国老年教育四十余年的研究进行梳理,故采用文献计量和文本分析的方法,以准学科的视角,构建发展脉络、理论样态和学术支撑的分析框架。研究得出以下结论并提出展望:领域交叉性强,亟待增强理论原创研究;研究力量分散,亟待建立“学术共同体”;研究范式单薄,亟待发展独立范式方法;学术话语缺失,亟待扩大研究成果影响。 相似文献
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《Journal of Informetrics》2020,14(2):101013
A citation is a well-established mechanism for connecting scientific artifacts. Citation networks are used by citation analysis for a variety of reasons, prominently to give credit to scientists’ work. However, because of current citation practices, scientists tend to cite only publications, leaving out other types of artifacts such as datasets. Datasets then do not get appropriate credit even though they are increasingly reused and experimented with. We develop a network flow measure, called DataRank, aimed at solving this gap. DataRank assigns a relative value to each node in the network based on how citations flow through the graph, differentiating publication and dataset flow rates. We evaluate the quality of DataRank by estimating its accuracy at predicting the usage of real datasets: web visits to GenBank and downloads of Figshare datasets. We show that DataRank is better at predicting this usage compared to alternatives while offering additional interpretable outcomes. We discuss improvements to citation behavior and algorithms to properly track and assign credit to datasets. 相似文献
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Measuring similarity for clarifying layer difference in multiplex ad hoc duplex information networks
《Journal of Informetrics》2020,14(1):100987
In multiplex networks, each layer may represent different interactions or the same interaction over different time periods. Presently all centralities method may fail to detect the change among different layers (totally M layers). As the minimum unit of a multiplex network is duplex network (M = 2), we can clarify layer difference via duplex network. In a duplex network, the layer similarity LSim is defined for measuring similarity between layers, via node similarity of two layers, and then the layer difference is described by the similarity. The methodology can be extended to multiplex network by repeats of duplex networks. Two information networks and two extending empirical cases are investigated and verified. 相似文献
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《Journal of Informetrics》2020,14(2):101023
This is the first ever attempt of application in a country other than Italy of the output-to-input indicator FSS, to assess and compare the research performance of professors and universities, within and between countries. A special attention has been devoted to the presentation of the methodology developed to set up a common field classification scheme of professors, and to overcome the limited availability of comparable input data. Results of the comparison between countries, carried out in the 2011–2015 period, show similar average performances of professors, but noticeable differences in the distributions, whereby Norwegian professors are more concentrated in the tails. Norway shows notable higher performance in Mathematics and Earth and Space Sciences, while Italy in Biomedical Research and Engineering. 相似文献
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《Journal of Informetrics》2020,14(1):101007
This study compares the two-year impact factor (JIF2), JIF2 without journal self-citation (JIF2_noJSC), five-year impact factor (JIF5), eigenfactor score and article influence score (AIS) and investigates their relative changes with time. JIF2 increased faster than JIF5 overall. The relative change between JIF2 and JIF_noJSC shows that the control of JCR over journal self-citation is effective to some extent. JIF5 is more discriminative than JIF2. The correlation between JIF5 and AIS is stronger than that between JIF5 and the eigenfactor score. The relative change in journal rank according to different indicators varies with the ratio of the indicators and can be up to 60 % of the number of journals in a subject category. There is subject category discrepancy in the average AIS and its change over time. Through the screening of journals according to variations in the ratio of JIF2 to JIF5 for journals in individual subject categories, we found that journals in the same subject categories can have considerably different citation patterns. To provide a fair comparison of journals in individual subject categories, we argue that it is better to replace JIF2 with the ready-made JIF5 when ranking journals. 相似文献
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《Journal of Informetrics》2019,13(3):817-829
The number of publications and the number of citations received have become the most common indicators of scholarly success. In this context, scientific writing increasingly plays an important role in scholars’ scientific careers. To understand the relationship between scientific writing and scientific impact, this paper selected 12 variables of linguistic complexity as a proxy for depicting scientific writing. We then analyzed these features from 36,400 full-text Biology articles and 1,797 full-text Psychology articles. These features were compared to the scientific impact of articles, grouped into high, medium, and low categories. The results suggested no practical significant relationship between linguistic complexity and citation strata in either discipline. This suggests that textual complexity plays little role in scientific impact in our data sets. 相似文献
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《Journal of Informetrics》2019,13(3):771-784
This paper proposes two novel measures to study the geographic mobility of faculty members from their graduating institutions in the United States: a continuous measure using geographic distance and a discrete one concerning the concept of Metropolitan Statistical Area (MSA). The joint application of the two novel measures to a hand-collected hiring network dataset including more than 15,000 faculty members in three disparate disciplines (business, computer science, and history) leads to interesting findings regarding geographic mobility of American professors from graduating institutions, defined by relocation distance or cross-MSA from the PhD granting institution and the hiring institution. Overall, American faculty exhibits high geographic mobility from their graduating institutions in terms of relocation distance and cross-MSA moves. History faculty members have the highest mobility while those in business show the lowest mobility. We further find that assistant professors show the highest mobility while full professors show lowest mobility. In addition, while there is little distance difference between male and female faculty members overall, female faculty members are less likely to move between MSAs or regions in the United States. 相似文献