scholarly journals The Construction of an Identity as “ESL Teacher” in Classrooms and Tutorials

2018 ◽  
Vol 6 (1) ◽  
pp. 70
Author(s):  
Hongya Fan ◽  
Xiaoyan Ren

<p><em>The analysis in this study, using a data set consisting of 20 teacher-student meetings in two settings of formal classroom sessions and once-a-week tutorials, examines how ESL teachers in China construct their identities, by considering the use of person-referencing practices, speech acts, language selection and language styles. The results of the analysis are discussed with reference to the construction of different types of ESL teacher identities in these two settings.</em></p>

Author(s):  
Ritu Khandelwal ◽  
Hemlata Goyal ◽  
Rajveer Singh Shekhawat

Introduction: Machine learning is an intelligent technology that works as a bridge between businesses and data science. With the involvement of data science, the business goal focuses on findings to get valuable insights on available data. The large part of Indian Cinema is Bollywood which is a multi-million dollar industry. This paper attempts to predict whether the upcoming Bollywood Movie would be Blockbuster, Superhit, Hit, Average or Flop. For this Machine Learning techniques (classification and prediction) will be applied. To make classifier or prediction model first step is the learning stage in which we need to give the training data set to train the model by applying some technique or algorithm and after that different rules are generated which helps to make a model and predict future trends in different types of organizations. Methods: All the techniques related to classification and Prediction such as Support Vector Machine(SVM), Random Forest, Decision Tree, Naïve Bayes, Logistic Regression, Adaboost, and KNN will be applied and try to find out efficient and effective results. All these functionalities can be applied with GUI Based workflows available with various categories such as data, Visualize, Model, and Evaluate. Result: To make classifier or prediction model first step is learning stage in which we need to give the training data set to train the model by applying some technique or algorithm and after that different rules are generated which helps to make a model and predict future trends in different types of organizations Conclusion: This paper focuses on Comparative Analysis that would be performed based on different parameters such as Accuracy, Confusion Matrix to identify the best possible model for predicting the movie Success. By using Advertisement Propaganda, they can plan for the best time to release the movie according to the predicted success rate to gain higher benefits. Discussion: Data Mining is the process of discovering different patterns from large data sets and from that various relationships are also discovered to solve various problems that come in business and helps to predict the forthcoming trends. This Prediction can help Production Houses for Advertisement Propaganda and also they can plan their costs and by assuring these factors they can make the movie more profitable.


2020 ◽  
Vol 8 (1) ◽  
pp. 105-125
Author(s):  
Carlos de Pablos-Ortega

AbstractThe main aim of the study is to ascertain contrastively, in English and Spanish, how directive speech acts are represented in film discourse. For the purpose of the investigation, the directive speech acts of 24 films, 12 in English and 12 in Spanish, were extracted and analysed. A classification taxonomy, inspired by previous research, was created in order to categorize the different types of directive speech acts and determine their level of (in)directness. The results show that indirectness is more widely represented in the English than in the Spanish film scripts, thus confirming the assertion that being indirect is a distinctive feature of English native speakers (Grundy, 2008). This research makes a valuable contribution to the exploration of speech acts in filmspeak and informs the existing local grammar descriptions of the linguistic patterns of directive speech acts.


2021 ◽  
Vol 1 (1) ◽  
pp. 53-66
Author(s):  
Viorica Goras-Postica

The article presents the results of a pedagogical study, recently conducted on a group of over 8 thou- sand adolescents on the self-assessment of attitudes towards learning. As technologies have shifted many points of focus in addressing learning as an essential aspect of the educational process, the author intended to analyze the representations of adolescents from the knowledge and information century, administering an online questionnaire consisting of different types of questions. The results revealed diverse and mature perceptions, problems of teacher-student, student-student relations, of the institutional process of organization / culture of learning, but also of its results, as perceived by the main actors of the educational act.


2020 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
Hafeez Ur Rahim ◽  
Sajjad Ahmad ◽  
Zaid Khan ◽  
Muhammad Ayoub Khan

There is a debate about whether the aged biochar effect can increase the crop yield or not. Herein, a field-based experimental data set and analysis provide the information on the aged biochar effect coupled with summer legumes on the yield of subsequent wheat. Briefly, in summer 2016, three different types of legumes i.e. mungbean, sesbania, and cowpea were grown with the intention of grain for human consumption, green manuring for soil fertility improvement, and fodder for livestock consumption. A fallow was also adjusted in the experiment with the purpose of comparison. Biochar was added to each experimental plot in triplicates at the rate of 0, 5, and 10 tons ha-1. After the harvesting of legumes, the biomass of each sesbania treatment plot was mixed in the field while the biomass of mungbean and cowpea were removed from each respective plot. To investigate the aged biochar effect, the wheat crop was grown on the same field layout and design (randomized complete block) of legumes. The data analysis highlighted that significantly maximum grain yield (kg ha-1), biological yield (kg ha-1); thousand-grain weight (g), and straw yield (kg ha-1) were obtained in the plots mixed with sesbania. Regarding the aged biochar effect, maximum yield was obtained in the plots with 10 tons ha-1treatment dose. Additionally, the interaction of aged biochar coupled with legumes was non-significant. In conclusion, this work could prove that aged biochar coupled with summer legumes enhanced the yield of subsequent wheat on a sustainable basis due to its long-term numerous benefits to the soil-plant system.


2017 ◽  
Vol 47 (6) ◽  
pp. 795-814 ◽  
Author(s):  
Kate Kenski ◽  
Kevin Coe ◽  
Stephen A. Rains

Incivility in public discourse has become a pressing concern of citizens and scholars alike, but most research has focused narrowly on incivility in elite discourse. The present study examines how the lay public perceives incivility, using two surveys to track differences in perceptions of specific types of uncivil speech and identify predictors of those perceptions. The results show that different types of incivility elicit different responses. In particular, name-calling and vulgarity were rated as more uncivil than were other speech acts. In addition, several demographic, personality, and news consumption variables were analyzed as predictors of incivility perceptions.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ulpiana Kocollari ◽  
Alessia Pedrazzoli ◽  
Maddalena Cavicchioli ◽  
Andrea Girardi

PurposeThe authors investigate the contributions of social capital (SC) dimensions (bridging, bonding and linking) in crowdfunding campaigns by comparing the dynamics of agri-food businesses with those of two other sectors – cultural and technological.Design/methodology/approachThe authors develop linear regressions on a proprietary data set of 5,290 projects launched on the Italian platform “Produzionidalbasso.com”, from 2014 to 2020.FindingsThe authors’ findings suggest that combining the three social capital dimensions (bridging, bonding and linking) has a more substantial overall effect on the number of backers involved in agri-food projects than in cultural and technological projects. Agri-food entrepreneurs effectively mobilize all resources embedded in the SC dimensions and therefore create the conditions to develop new ties that financially support the project.Practical implicationsAgri-food entrepreneurs may benefit from those results improving their funding strategies. Therefore, agri-food entrepreneurs can explore and exploit the instruments available on the CFD platform – video and rewards associated with the campaign – gaining more benefit from the backers involved compared with other project categories.Originality/valueThe study proposes a broader perspective regarding SC that encompasses the proponent, the company and the campaign with three different types of ties: bonding, bridging and linking. These SC dimensions can differently shape diverse sectors and this eclectic configuration can differentiate the effects of SC in crowdfunding campaigns. This study pinpoints how crowdfunding determinants change, based on project categories.


2020 ◽  
Author(s):  
Valentina S. Klaus ◽  
Sonja C. Schriever ◽  
Andreas Peter ◽  
José Manuel Monroy Kuhn ◽  
Martin Irmler ◽  
...  

ABSTRACTThe steadily increasing amount of newly generated omics data of various types from genomics to metabolomics is a chance and a challenge to systems biology. To fully use its potential, one key is the meaningful integration of different types of omics. We here present a fully unsupervised and versatile correlation-based method, termed Correlation guided Network Integration (CoNI), to integrate multi-omics data into a hypergraph structure that allows for identification of effective regulators. Our approach further unravels single transcripts mapped to specific densely connected metabolic sub-graphs or pathways. By applying our method on transcriptomics and metabolomics data from murine livers under standard chow or high-fat-diet, we isolated eleven genes with a regulatory effect on hepatic metabolism. Subsequent in vitro and ex vivo experiments in human liver cells and human obtained liver biopsies validated seven candidates including INHBE and COBLL1, to alter lipid metabolism and to correlate with diabetes related traits such as overweight, hepatic fat content and insulin resistance (HOMA-IR). Last, we successfully applied our methods to an independent data-set to confirm its versatile and transferable character.


1984 ◽  
Vol 1 (1) ◽  
pp. 19 ◽  
Author(s):  
Gloria Paulik Sampson

ESL specialists at the present time have no conceptual framework to guide them in deciding whether teaching methods developed in one country are appropriate for the educational systems of other countries. Because of the lack of such a framework, three problems are emerging as Canadian and Chinese ESL specialists wrestle with the difficulties involved in exporting Canadian teaching methods to the People's Republic of China. These problems stem from not seeing development as multidimensional, from confusion about the relationship between scientific and educational theories, and from the worldwide presence and ac- THE NEED FOR A FRAMEWORK ceptance of technocratic imperialism. Some responses are suggested to the educational practices of modelling and memorization in China. It is suggested that these practices are not dysfunctional within the current educational theory in China that places high value on certain types of teacher-student interactions and on human interactions mediated by shared values which inhere in the canon of texts known as Marxism Leninism-Mao Zi-Dong thought. It is suggested that the teaching practices ESL teachers observe in China are not trivial or accidental, but inherent and important in the fabric of Chinese society.


2020 ◽  
Vol 2020 ◽  
pp. 1-7
Author(s):  
R. G. U. I. Meththananda ◽  
N. C. Ganegoda ◽  
S. S. N. Perera

A collection of oscillatory basis functions generated via an integral equation is investigated here. This is a new approach in the harmonic analysis as we are able to interpret phenomena with damping and amplifying oscillations other than classical Fourier-like periodic waves. The proposed technique is tested with a data set of dengue incidence, where different types of influences prevail. An intermediate transform supported by the Laplace transform is available. It facilitates parameter estimation and strengthens the extraction of hidden influencing accumulations. This mechanistic work can be extended as a tool in signal processing that encounters oscillatory and accumulated effects.


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