Learning to read in English as third language

2007 ◽  
Vol 10 (1) ◽  
pp. 25-52 ◽  
Author(s):  
Mila Schwartz ◽  
Esther Geva ◽  
David L. Share ◽  
Mark Leikin

The present study compared the influence of bi-literate bilingualism versus mono-literate bilingualism on the development of literary skills in English as L3. Two main predictions were made. First, it was predicted that Russian (L1) literacy would benefit decoding and spelling acquisition in English (L3), that is, bi-literate bilingualism would be superior to mono-literate bilingualism. Second, it was hypothesized that there would be positive transfer of phonological processing skills from L1 Russian to L3 English even in the context of two linguistically and orthographically distinct languages. The sample of 107 11-year-old children from Haifa, Israel, were divided into three groups matched in age, gender, social-economic level, verbal and non-verbal IQ: bi-literate bilinguals, mono-literate bilinguals and mono-literate monolinguals. The research was conducted in two stages. In the first stage a wide range of linguistic, meta-linguistic, cognitive and literacy tasks in Hebrew (L2) and in Russian (L1) were administered. In the second stage linguistic, meta-linguistic and literacy skills in English (L3) were assessed. The results demonstrated that bi-literate bilinguals outperformed mono-literate bilingual and mono-lingual children on a number of basic literacy measures (phoneme deletion and analysis, pseudoword decoding and spelling) in English (L3). Even after controlling for (L2) Hebrew reading accuracy, bi-literacy independently explained 16% of the variance in English reading accuracy among Russian-Hebrew fifth grade bilinguals.

2014 ◽  
Vol 36 (5) ◽  
pp. 1133-1153 ◽  
Author(s):  
VICTORIA A. MURPHY ◽  
ERNESTO MACARO ◽  
SONIA ALBA ◽  
CLAUDIA CIPOLLA

ABSTRACTThis study investigated whether learning a second language (L2) has a facilitative effect on first language (L1) literacy and whether there is an advantage to learning an L2 with transparent grapheme–phoneme correspondences. One hundred fifty Year 3 children were randomly assigned into one of three groups: L2 Italian, L2 French, and control. Children were pretested on measures of English (L1) spelling, reading and phonological processing. The L2 groups then received 15 weeks of L2 instruction in Italian or French, respectively. The L2 groups outperformed the control group on posttest measures of English reading accuracy and different aspects of phonological processing. In addition, there was an advantage for the L2 Italian group as their scores were higher than the L2 French group on English reading accuracy and phonological processing.


Author(s):  
Chuck P. Lam ◽  
David G. Stork

Data quality is an important factor in building effective classifiers. One way to improve data quality is by cleaning labeling noise. Label cleaning can be divided into two stages. The first stage identifies samples with suspicious labels. The second stage processes the suspicious samples using some revision scheme. This chapter examines three such revision schemes: (1) removal of the suspicious samples, (2) automatic replacement of the suspicious labels to what the machine believes to be correct, and (3) escalation of the suspicious samples to a human supervisor for relabeling. Experimental and theoretical analyses show that only escalation is effective when the original labeling noise is very large or very small. Furthermore, for a wide range of situations, removal is better than automatic replacement.


Nafta-Gaz ◽  
2021 ◽  
Vol 77 (8) ◽  
pp. 499-511
Author(s):  
Konrad Ziemianin ◽  

Planimetric analysis is a well-known and commonly used method for determining the content of a given component in the area of the analyzed surface. In geology, it is used to determine both the mineral and maceral composition, and its results are helpful in solving a wide range of research problems. The aim of this study was to investigate the relationships between the obtained results of planimetric analysis and the density of the measurement grids, which can be adapted to specific situations in geological samples in order to optimize the ratio of the accuracy of the result to the time of analysis. The research was divided into two stages. Models were used in the first stage, while in the second, coal samples were investigated. In the first stage, a virtual grid of measurement points with dimensions of 100 by 100 points was created, which gave a total of 10 000 points. After creating the measurement grid model, 102 scenarios were established, differing in the content of the analyzed component A (0.1%, 0.5% and from 1 to 100%). In each of the adopted scenarios, 100 combinations were carried out so that the arrangement of points on the measurement grid corresponding to component A was random. Then, the number of measuring points was reduced several times from the original 10 000 to 100 and each time content of component A was calculated. The obtained average component A content in most cases turned out to be only slightly different from the original, which cannot be stated in the case of both minimum and maximum values – here a wider range of results is observed. In the second stage, 3 coal samples of varying maceral composition complexity were investigated and a measurement grid of 100 by 100 points was used. The original grid density was gradually reduced (down to 144 points) and maceral composition was calculated each time. Results obtained from models as well as from samples show a clear trend of decreasing accuracy with decreasing density of the measuring grid. The obtained results were also analyzed in terms of the established acceptance criteria for which the content of the component was assumed to be different from its content based on a grid of 10 000 points by up to 5%, 10% or 30% of the original value. The analysis of the relationship between the accuracy of the obtained results and the time of conducting the analysis seems to indicate that the choice of the measurement grid based on 500 points is optimal.


Author(s):  
Dale E. Bockman ◽  
L. Y. Frank Wu ◽  
Alexander R. Lawton ◽  
Max D. Cooper

B-lymphocytes normally synthesize small amounts of immunoglobulin, some of which is incorporated into the cell membrane where it serves as receptor of antigen. These cells, on contact with specific antigen, proliferate and differentiate to plasma cells which synthesize and secrete large quantities of immunoglobulin. The two stages of differentiation of this cell line (generation of B-lymphocytes and antigen-driven maturation to plasma cells) are clearly separable during ontogeny and in some immune deficiency diseases. The present report describes morphologic aberrations of B-lymphocytes in two diseases in which second stage differentiation is defective.


2020 ◽  
Vol 39 (6) ◽  
pp. 8139-8147
Author(s):  
Ranganathan Arun ◽  
Rangaswamy Balamurugan

In Wireless Sensor Networks (WSN) the energy of Sensor nodes is not certainly sufficient. In order to optimize the endurance of WSN, it is essential to minimize the utilization of energy. Head of group or Cluster Head (CH) is an eminent method to develop the endurance of WSN that aggregates the WSN with higher energy. CH for intra-cluster and inter-cluster communication becomes dependent. For complete, in WSN, the Energy level of CH extends its life of cluster. While evolving cluster algorithms, the complicated job is to identify the energy utilization amount of heterogeneous WSNs. Based on Chaotic Firefly Algorithm CH (CFACH) selection, the formulated work is named “Novel Distributed Entropy Energy-Efficient Clustering Algorithm”, in short, DEEEC for HWSNs. The formulated DEEEC Algorithm, which is a CH, has two main stages. In the first stage, the identification of temporary CHs along with its entropy value is found using the correlative measure of residual and original energy. Along with this, in the clustering algorithm, the rotating epoch and its entropy value must be predicted automatically by its sensor nodes. In the second stage, if any member in the cluster having larger residual energy, shall modify the temporary CHs in the direction of the deciding set. The target of the nodes with large energy has the probability to be CHs which is determined by the above two stages meant for CH selection. The MATLAB is required to simulate the DEEEC Algorithm. The simulated results of the formulated DEEEC Algorithm produce good results with respect to the energy and increased lifetime when it is correlated with the current traditional clustering protocols being used in the Heterogeneous WSNs.


Author(s):  
Fitriah Khoirunnisa ◽  
Friska Septiani Silitonga ◽  
Veri Firmansyah

Penelitian ini bertujuan menganalisis kebutuhan petunjuk praktikum berbasis Keterampilan Proses Sains (KPS) untuk mencapai kemampuan merancang eksperimen pada materi kalor reaksi kalorimetri. Penelitian dilakukan terhadap peserta didik kelas XI SMA Negeri 2 Kota Tanjungpinang. Variabel penelitian mencakup analisis kebutuhan bahan ajar dan analisis kesesuaian Kompetensi Inti (KI) dan Kompetensi Dasar (KD). Jenis penelitian yang dilakukan adalah penelitian deskriptif kualitatif. Tahapan pertama dalam penelitian ini adalah menganalisis kebutuhan bahan ajar dengan cara membandingkan dua petunjuk praktikum yang selama ini telah digunakan di sekolah tersebut, ditinjau dari aspek struktur format penulisan, aspek kreativitas, dan aspek keterampilan proses sains yang terdapat dalam petunjuk praktikum. Sehingga didapatkan kesimpulan bahwa petunjuk praktikum yang selama ini digunakan tidak memberikan kesempatan kepada peserta didiknya untuk merancang eksperimen yang telah ditentukan. Tahapan kedua yaitu menganalisis kesesuaian kompetensi inti dan kompetensi dasar, yang bertujuan untuk menentukan indikator pencapaian kompetensi (IPK) yang akan menjadi acuan dalam mengembangkan petunjuk praktikum berbasis keterampilan proses sains. Dari kedua tahapan yang telah dilakukan maka dapat disimpulkan bahwa peserta didik memerlukan petunjuk praktikum yang mampu mengonstruksi pikiran dan mengaktifkan kinerja mereka, sehingga pendekatan Keterampilan Proses Sains menjadi pilihan dalam mengembangkan petunjuk praktikum yang sesuai dengan karakteristik kurikulum 2013.   This research aims to analyze the needs of Science Process Skills based Practical Instruction to achieve the ability to design experiments on the calor of reaction. This research was done to the students of class XI SMA Negeri 2 Tanjungpinang City. Research Variable includes the analysis of the needs of the learning materials and analysis of the suitability of the Core Competence (KI) and Basic Competence (KD). The type of research conducted is descriptive qualitative research. The first stages in this research is to analyze the needs of learning materials by comparing two practical instructions that had been implementing in the school, from the aspects of the structure of writing format, creativity, and science process skills embedded in practical instructions. The conclusion of this research that current practical instructions does not give an opportunity to the participants to design determined experiments. The second stage, namely analyzing the suitability of core competence and basic competence, which aims to determine the indicators of achievement of the competencies (GPA) which will be a reference in developing process skills-based teaching instructions science. Of the two stages that has been done then it can be concluded that learners need practical instructions to construct  thinking and and their performance, so the Science Process Skills approach is an option in developing practical instruction suitable for the characteristics of the curriculum of 2013.


2014 ◽  
Vol 59 (1) ◽  
pp. 41-52 ◽  
Author(s):  
Norbert Skoczylas

Abstract The Author endeavored to consult some of the Polish experts who deal with assessing and preventing outburst hazards as to their knowledge and experience. On the basis of this knowledge, an expert system, based on fuzzy logic, was created. The system allows automatic assessment of outburst hazard. The work was completed in two stages. The first stage involved researching relevant sources and rules concerning outburst hazard, and, subsequently, determining a number of parameters measured or observed in the mining industry that are potentially connected with the outburst phenomenon and can be useful when estimating outburst hazard. Then, the Author contacted selected experts who are actively involved in preventing outburst hazard, both in the industry and science field. The experts were anonymously surveyed, which made it possible to select the parameters which are the most essential in assessing outburst hazard. The second stage involved gaining knowledge from the experts by means of a questionnaire-interview. Subjective opinions on estimating outburst hazard on the basis of the parameters selected during the first stage were then systematized using the structures typical of the expert system based on fuzzy logic.


2017 ◽  
Vol 924 (6) ◽  
pp. 6-16
Author(s):  
V.S. Tikunov ◽  
O.Yu. Chereshnia

The article presents a methodology for a comprehensive assessment of the environmental situation in Russian Federation regions based on the pollution index and the index of the ecological tension. The evaluation was carried out in two stages. At the first stage, the degree of pollution of the atmosphere, hydrosphere and lithosphere of the regions was estimated on the basis of the emission of pollutants into the atmosphere, departing from stationary sources, the formation of solid domestic wastes (SDW) and the discharge of contaminated wastewater. Based on these three indicators, a pollution index was constructed that estimates aggregate pollution level. In the second stage, the authors made the estimation of loads generated by atmospheric emissions, solid waste and waste water discharged into the territory of each region, per capita and in relation to the environmental capacity of the economy. This allows us to take into account the area of pollution, anthropogenic pressure and environmental responsibility of the population, as well as the environmental friendliness of production. On the basis of relative indicators, the index of ecological tension was created.


2021 ◽  
Vol 11 (2) ◽  
pp. 57
Author(s):  
Roksana Binte Rezwan ◽  
Yoshi Takahashi

This study aimed to understand the psychological process behind employees’ knowledge hiding (KH) behaviors in organizations. KH is an intentional act of concealing knowledge when it is requested by a colleague and can lead to counterproductive consequences for the organization. Therefore, this study synthesized previous studies (n = 88) on KH through a systematic literature review. We used the cognitive–motivational–relational (CMR) theory of emotion to create a framework for the studies’ findings. Based on the framework, the psychological process behind KH has two stages—personal goal generation and the knowledge-request event appraisal process, each of which contains its own CMR process. In the first stage, an individual’s internal and external attributes related to the organization shape their personal goals. In the second stage, an individual appraises the features of a knowledge-request event in terms of both their personal goal and the internal and external attributes that created the goal. If the knowledge request is appraised as harmful for the personal goal, emotion arises and leads to the manifestation of KH. This study contributes to the knowledge management literature as, to our knowledge, it is the first to propose a CMR theory-based framework to understand the overall psychological process behind KH.


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