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What is Sill

Innovations and Technologies for Soft Skill Development and Learning
Strategy Inventory for Language Learning. This inventory helps to find out the strategy preference of a language learner.
Published in Chapter:
One Size Doesn't Fit for All: An Empirical Study of Language Learning Strategies of Rural Learners
Anto Maria Eusobia (Sacred Heart College (Autonomous), India)
DOI: 10.4018/978-1-7998-3464-9.ch024
Abstract
Language is a means of communication. Learning a mother tongue is an ecstasy, but learning a second language is an acrimonious bliss. There is many research which focus on the enhancement of L2 learning. One of the ways to enhance the L2 learning is to focus on the individual differences (IDs) of the learners. Where one size does not fit for all. Each learner enjoys and searches the apt one for their size. This chapter focuses on one of the IDs i.e. language learning strategies (LLS). It is the actions, plans, and steps possessed and developed by the learner to enhance the L2 learning. This chapter is an attempt to investigate the awareness of rural learners about their LLS, and to identify the strategy preferences of the rural intermediate level learners and the tertiary level learners. Thus, this chapter identifies the awareness and preferences of LLS of rural learners.
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Improving Spatio-Temporal Rainfall Interpolation Using Remote Sensing CCD Data in a Tropical Basin: A Geostatistical Modeling Approach
Another variogram model parameter which is the total vertical scale of the variogram which is the sum of Nugget effect and sum of all component scales. Linear, Logarithmic, and Power variogram models do not have a sill.
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Using Geographic Information System to Infollow the Fertilizers Pollution Migration
A parameter of a variogram or semi-variogram model that represents a value that the semi-variogram tends to when distances get very large. At large distances, variables become uncorrelated, so the sill of the semi-variogram is equal to the variance of the random variable. Some theoretical semi-variogram does not have a sill. All semivariogram models used in the Geostatistical Analyst have a sill.
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