Temporal Variation

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Ludo Verhoeven - One of the best experts on this subject based on the ideXlab platform.

  • Temporal Variation in children's self-regulated hypermedia learning
    Computers in Human Behavior, 2019
    Co-Authors: Cindy Paans, Inge Molenaar, Eliane Segers, Ludo Verhoeven
    Abstract:

    Abstract This study investigated the macro-level Temporal Variation in navigation activities, as well as in cognitive and metacognitive activities. The extent to which this Temporal Variation differed for successful and less successful learners was also considered. We also assessed the extent to which navigation activities could be related to the use of cognitive and metacognitive activities, as measured by think-aloud protocols. For this purpose, 62 5th grade children participated in a 45-min hypermedia assignment on the subject of the heart. It was found that both navigation activities and cognitive and metacognitive activities showed Temporal Variation. Although no Temporal Variation was found for less successful learners, more successful learners were more likely to exhibit metacognitive activities at the start, and less likely at the end, of the assignment. Moreover, both more and less successful learners applied cognitive and metacognitive activities differently within the hypermedia environment. These results show how multimodal measurement cumulatively supports our understanding of self-regulated learning of children in hypermedia environments.

Zhang Liping - One of the best experts on this subject based on the ideXlab platform.

  • a unit hydrograph model considering spatio Temporal Variation of rainfall
    Journal of China Hydrology, 2007
    Co-Authors: Zhang Liping
    Abstract:

    For many years,the impaction of watershed morphologic and topographic structure and spatio-Temporal Variation of rainfall on unit hydrograph has been the key question in studying method of watershed flow routing.This paper introduced the traditional classifications of unit hydrograph according to the spatio-Temporal Variation and analyzed their disadvantages.A new S-curve method considering the spatio-Temporal Variation of rainfall was proposed.The relationship between the parameters of the new S-curve equation and the barycenter of storm and the intensity of rainfall was found.The unit hydrograph with changing position of storm barycenter and intensity of rainfall can be built by using this method,which has the characteristics of Sherman unit hydrograph and also consider the Temporal-spatial Variation.

Jinsheng He - One of the best experts on this subject based on the ideXlab platform.

  • field based observations of regional scale Temporal Variation in net primary production in tibetan alpine grasslands
    Biogeosciences, 2013
    Co-Authors: Yinghui Wang, C Liang, Dan F B Flynn, Bernhard Schmid, Jingyun Fang, Jinsheng He
    Abstract:

    Net primary production (NPP) is a fundamental process of natural ecosystems. Temporal Variation of NPP not only reflects how communities respond to environmen- tal fluctuations, but it also has important implications for re- gional carbon assessment. Unfortunately, studies based on field measurements to directly address this issue in the ex- treme environment of alpine grasslands are rare. In this study, we measured aboveground NPP (ANPP) and species richness in 40 sites across the Tibetan alpine grasslands from 2006 to 2009 to investigate the regional pattern of Temporal Variation in ANPP and to quantify the effects of climate fluctuation and biodiversity on this Variation. The results showed that, during the 4-year period, the average ANPP varied 1.5-fold, from 83.9 to 125.7 g m 2 , with a mean coefficient of Variation of Temporal Variation of 36.6 % across the 40 sites. Compared with other studies, alpine grasslands are not more sensitive to climate fluctuations than other grassland types. Above- ground NPP exhibited synchronous Temporal Variation and consistent spatial patterns over the 4-year period due to the regionally similar climatic fluctuations caused by monsoon- dominated plateau climate. Surprisingly, rainfall fluctuation had a more profound effect on the ANPP dynamics than tem- perature Variation, which suggests that production in the Ti- betan alpine grasslands is primarily driven by precipitation. Therefore, ANPP in the Tibetan alpine grasslands are mainly constrained by water availability. Finally, we found a reduc- tion in interannual Variation (i.e., CV) in ANPP with increas- ing species richness of plant communities, suggesting that diversity can stabilize community production in high-altitude grasslands.

Cindy Paans - One of the best experts on this subject based on the ideXlab platform.

  • Temporal Variation in children's self-regulated hypermedia learning
    Computers in Human Behavior, 2019
    Co-Authors: Cindy Paans, Inge Molenaar, Eliane Segers, Ludo Verhoeven
    Abstract:

    Abstract This study investigated the macro-level Temporal Variation in navigation activities, as well as in cognitive and metacognitive activities. The extent to which this Temporal Variation differed for successful and less successful learners was also considered. We also assessed the extent to which navigation activities could be related to the use of cognitive and metacognitive activities, as measured by think-aloud protocols. For this purpose, 62 5th grade children participated in a 45-min hypermedia assignment on the subject of the heart. It was found that both navigation activities and cognitive and metacognitive activities showed Temporal Variation. Although no Temporal Variation was found for less successful learners, more successful learners were more likely to exhibit metacognitive activities at the start, and less likely at the end, of the assignment. Moreover, both more and less successful learners applied cognitive and metacognitive activities differently within the hypermedia environment. These results show how multimodal measurement cumulatively supports our understanding of self-regulated learning of children in hypermedia environments.

Samantha K. Oliver - One of the best experts on this subject based on the ideXlab platform.

  • Spatial and Temporal Variation of ecosystem properties at macroscales.
    Ecology letters, 2019
    Co-Authors: Patricia A. Soranno, Tyler Wagner, Sarah M. Collins, Jean-françois Lapierre, Noah R. Lottig, Samantha K. Oliver
    Abstract:

    Although spatial and Temporal Variation in ecological properties has been well-studied, crucial knowledge gaps remain for studies conducted at macroscales and for ecosystem properties related to material and energy. We test four propositions of spatial and Temporal Variation in ecosystem properties within a macroscale (1000 km's) extent. We fit Bayesian hierarchical models to thousands of observations from over two decades to quantify four components of Variation - spatial (local and regional) and Temporal (local and coherent); and to model their drivers. We found strong support for three propositions: (1) spatial Variation at local and regional scales are large and roughly equal, (2) annual Temporal Variation is mostly local rather than coherent, and, (3) spatial Variation exceeds Temporal Variation. Our findings imply that predicting ecosystem responses to environmental changes at macroscales requires consideration of the dominant spatial signals at both local and regional scales that may overwhelm Temporal signals.