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81.
Francisco Miguel Martinez- Verdu Maria Jose Rodriguez Jaume Herminia Provencio Garrigos Jasone Mondragon-Lasagabaster Juan Ramon Rico-Juan Juan Ignacio Ferreiro Prieto Mar Iglesias Natalia Albaladejo-Blazquez Maria Dolores de Fez Saiz Valentin Viqueira Perez Jose Tomas Garcia Garcia M Dolores Fernandez-P ascual EnarRuiz-Conde Begona Lucia Fuster Garcia Josefa Parreno-Selva Diana Jareno Ruiz Esther Perales Romero Elisabet Chorro Calderon 《美中教育评论》2010,(12):54-69
This work describes the genesis, articulation and consolidation from 2007 of a social network of b-learning (blended learning) in the UA (University of Alicante) (Spain), with the institutional backing of the Office of the Vice President for Education Technology and Innovation, and the momentum and advice of professor Angel Fidalgo (UNESCO (United Nations Educational, Scientific and Cultural Organization) chair for University of Management and Policy). The social network currently has more than 25 teachers, working on different work linkages with the university, implementing or intending to apply the teaching methodologyb-learning during the course 2007-2008 in a variety of courses and degrees. To do so, several resource centers (blogs, wikis, Wimba Create (before CourseGenie), etc.), and digital platforms (Virtual Campus of the UA, Moodle, etc.) are used. 相似文献
82.
The nature of anatomy education has changed substantially in recent decades, though the traditional multiple‐choice written examination remains the cornerstone of assessing students' knowledge. This study sought to measure the quality of a clinical anatomy multiple‐choice final examination using item response theory (IRT) models. One hundred seventy‐six students took a multiple‐choice clinical anatomy examination. One‐ and two‐parameter IRT models (difficulty and discrimination parameters) were used to assess item quality. The two‐parameter IRT model demonstrated a wide range in item difficulty, with a median of ?1.0 and range from ?2.0 to 0.0 (25th to 75th percentile). Similar results were seen for discrimination (median 0.6; range 0.4–0.8). The test information curve achieved maximum discrimination for an ability level one standard deviation below the average. There were 15 items with standardized loading less than 0.3, which was due to several factors: two items had two correct responses, one was not well constructed, two were too easy, and the others revealed a lack of detailed knowledge by students. The test used in this study was more effective in discriminating students of lower ability than those of higher ability. Overall, the quality of the examination in clinical anatomy was confirmed by the IRT models. Anat Sci Educ 3:17–24, 2010. © 2009 American Association of Anatomists. 相似文献
83.
Juárez-Maldonado CE Ortega-Saavedra G Huichan-Olivares F Gómez-Romero J Cruz-Morales SE Arriaga-Ramírez JC 《Learning & behavior》2006,34(4):374-378
The serial position effect in Long-Evans rats was evaluated in two experiments. In Experiment 1, the effect in a group for
which an interstimulus interval (ISI) was introduced between items in a list of demonstrators was compared with that in a
group without an ISI. With an ISI, a recency effect was produced. In Experiment 2, a serial position effect group was compared
with four groups in which either the distinctiveness or the context of the middle item was changed, relative to the items
on either side of it. A von Restorff effect was produced when a rat from a different strain was used as a demonstrator in
Position 2. The results for Experiment 1 are discussed in relation to interstimulus effects in monkeys and those for Experiment
2 with respect to changes in the physical properties of middle items. 相似文献
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Ricardo Sellers‐Rubio Francisco J. Mas‐Ruiz Ana B. Casado‐Díaz 《Higher Education Quarterly》2010,64(4):373-391
University managers should be aware of the importance that efficiency has for their own universities, orientating their actions towards research and teaching excellence. This study estimates teaching and research efficiency of the different departments of a university and tests the complementariness versus trade‐off between them. The results obtained show high levels of efficiency for the departments analysed, which is important for budget allocation, as one of the main challenges faced by a university is the allocation of budgets to different departments. The results also support the trade‐off between teaching efficiency and research activity, the complementariness between teaching efficiency and research efficiency, between research efficiency and time deducted from teaching, as well as the complementariness between research efficiency and administration activity. 相似文献
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Rabadán M Díaz V Calderón FJ Benito PJ Peinado AB Maffulli N 《Journal of sports sciences》2011,29(9):975-982
The aim of this study was to determine which physiological variables predict excellence in middle- and long-distance runners. Forty middle-distance runners (age 23 ± 4 years, body mass 67.2 ± 5.9 kg, stature 1.80 ± 0.05 m, VO(2max) 65.9 ± 4.5 ml · kg(-1) · min(-1)) and 32 long-distance runners (age 25 ± 4 years, body mass 59.8 ± 5.1 kg, stature 1.73 ± 0.06 m, VO(2max) 71.6 ± 5.0 ml · kg(-1) · min(-1)) competing at international standard performed an incremental running test to exhaustion. Expired gas analysis was performed breath-by-breath and maximum oxygen uptake (VO(2max)) and two ventilatory thresholds (VT(1) and VT(2)) were calculated. Long-distance runners presented a higher VO(2max) than middle-distance runners when expressed relative to body mass (P < 0.001, d = 1.18, 95% CI [0.68, 1.68]). At the intensities corresponding to VT(1) and VT(2), long-distance runners showed higher values for VO(2) expressed relative to body mass or %VO(2max), speed and oxygen cost of running (P < 0.05). When oxygen uptake was adjusted for body mass, differences between groups were consistent. Logistic binary regression analysis showed that VO(2max) (expressed as l · min(-1) and ml · kg(-1) · min(-1)), VO(2VT2) (expressed as ml · kg(-0.94) · min(-1)), and speed at VT(2) (v(VT2)) categorized long-distance runners. In addition, the multivariate model correctly classified 84.7% of the athletes. Thus, VO(2max), VO(2VT2), and v(VT2) discriminate between elite middle-distance and long-distance runners. 相似文献
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Important announcement 相似文献