understanding reading and writing connections‚ one must begin to view reading and writing as essentially similar processes of meaning construction. Both are acts of composing. (Tierney &Pearson‚ 1983‚ p.568) 1983------- Writing: active skill Reading: passive skill Major constructions of reading-writing connections 1.Stotsky(1983) focused on three themes of research : a-correlational studies b-studies examining the influence of writing on reading c- Studies examining
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MDM4U Final Exam REVIEW **This review is a supplement only. It is to be used as a guide along with other review. Chapter 1 1. The circle graph shows the relative size of each grade (9‚ 10‚ 11‚ and 12) in a high school. (a) If the school has 900 students in all‚ calculate the number of students in each grade. (b) Construct a new circle graph to show how the percent of Grade 9 students rose by 10% and the percent of Grade 11 students fell by 10% the following year. Compare graphs
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some sort‚ whether by taking readings off instruments‚ sketching‚ counting‚ or conducting interviews. Conducting primary research is a useful skill to acquire as it can greatly supplement our research in secondary sources‚ such as journals‚ magazines‚ or books. We can also use it as the focus of our writing project. In primary data collection‚ we collect the data ourselves by using methods such as interviews and questionnaires. The key point here is that the data we collect is unique to us
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that readers approach the work in ways that can be viewed as aesthetic or efferent. The question is why the reader is reading and what the reader aims to get out of the reading. Is the site established primarily to help readers gain information with as little reading possible‚ or is the site established in order to create an aesthetic experience? * Efferent reading: reading to "take away" particular bits of information. Here‚ the reader is not interested in the rhythms of the language or the
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Collecting‚ Reviewing‚ and Analyzing Secondary Data WHAT IS SECONDARY DATA REVIEW AND ANALYSIS? Secondary data analysis can be literally defined as second-hand analysis. It is the analysis of data or information that was either gathered by someone else (e.g.‚ researchers‚ institutions‚ other NGOs‚ etc.) or for some other purpose than the one currently being considered‚ or often a combination of the two (Cnossen 1997). If secondary research and data analysis is undertaken with care and diligence
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consistent professor‚ Mr. Jose Bernmar Ibuna particularly to his advices and encouraging us to finish this research study. To our beloved family who give their full support‚ encouragement and financial needs. And to PJHEN’s Auto Supply staffs‚ for sharing us their ideas through answering the questionnaires we gave specially to Mr. Jerry Regara for giving us chance to use his company for us to fulfill this study. We all appreciate you. Thank you! Chapter 1 Introduction:
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Paper Purpose: 1) identify the four techniques of satire in a satirical work 2) explain how the four techniques of satire contribute to comments or criticisms being made by a satirical work 3) use visual literacy skills to analyze‚ interpret‚ and explain non-print media. Audience: A group of college students who are already familiar with the issue being criticized through satire. Assignment: Write a 4-5 page essay that explains how individual techniques of satire are used in popular culture
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Comparison between Adults and Children in relation to Accuracy and Identification of the Correct number of Touches Demonstrating the Influence of Interviewing Techniques Abstract The present study aimed to investigate how well children and adults can use body maps to show where touch occurred on another person. It was predicted that adults would report more correct touches than children‚ and that adults would have a higher accuracy score. A total of twenty nine psychology students from
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WORLD DATA CLUSTERING ADEWALE .O . MAKO DATA MINING INTRODUCTION: Data mining is the analysis step of knowledge discovery in databases or a field at the intersection of computer science and statistics. It is also the analysis of large observational datasets to find unsuspected relationships. This definition refers to observational data as opposed to experimental data. Data mining typically deals with data that has already been collected for some purpose or the other than the data mining
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Introduction to Data Mining Assignment 1 Ex1.1 what is data mining? (a) Is it another hype? Data mining is Knowledge extraction from data this need for data mining has arisen due to the wide availability of huge amounts of data and the imminent need for turning such data into useful information and knowledge. So‚ data mining definitely is not another hype it can be viewed as the result of the natural evolution of information technology. (b) Is it a simple transformation of technology developed
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