Tituba and two elderly women Essay Example for Free

Tituba and two elderly women Essay However nobody can be held totally responsible, if the people had not believed Abigail and been so nai ve to think that witchcraft was present in the village none of it would have happened. The heroes of the story are all those that stuck to their principles and died for their cause. Corey would not condemn his friend as the others had done and stuck to his principles throughout the play. Rebecca Nurse who will not lie to save herself and Proctor who fights against the charges and does what is morally right in the end. Hale tried to be a hero as he tried to save the lives of the condemned but it was too late for him, the damage had been done. The village rapidly becomes split in two, those who are for the court and those against it. For the court are: Parris, Abigail, Danforth, Hathorne, Mary Warren, Putnam and Goody Putnam, all having very different reasons for being on that side, they are also supported by the majority of the. Against the court are: Elizabeth, Proctor, Giles Corey, Martha Corey, Rebecca Nurse and Francis Nurse. Hale is for the court proceedings at the beginning of the story then changes to against during the court scene in Act Three. These are quotes that support the court: Mrs Putnam: You think it is Gods work you should never lose a child, nor grandchild either, and I shall bury all but one? There are wheels within wheels in this village, and fire within fires! Putnam: She cannot bear to hear the Lords name, Mr Hale; thats a sure sign of witchcraft afloat. This woman must be hanged! She must be taken and hanged! Mary: I must tell you sir, I will be gone every day now. I am amazed that you not see what weighty work we do. You must see it sir, its Gods work we do. So Ill be gone every day for some time. Im I am an official of the court, they say. I am bound by law, I cannot tell it. Cheever: I am a clerk of the court now, yknow. Hathorne: Arrest him Excellency! This is contempt, sir, contempt. Danforth: This is the highest court of the supreme government of this province, do you know it? But you must understand, sir, a person is either with this court or he must be counted against it, there be no road in between. Hang them high over the town! Who weeps for these weeps for corruption! Parris: Hes come to overthrow this court, Your Honour! These are quotes against the court: Rebecca: I think Ill go then. I am too old for this. Francis: Reverend Hale! Can you not speak to the Deputy Governor? Im sure he mistakes these people. We have proof of it, sir. They are all deceiving you. Proctor: If she is innocent! Why do you never wonder if Parris be innocent, or Abigail? Is the accuser always holy now? Were they born this morning as clear as Gods fingers? Ill tell you whats walking Salem vengeance is walking Salem. We are what we always were in Salem, but now the little children are jangling the keys of the kingdom, and common vengeance writes the law. I will fall like an ocean on that court! Hale after he sides with the court: I denounce these proceedings, I quit this court! Throughout the play Miller is trying to convey certain messages which he felt were important. Although this was written fifty years ago, many are relevant today. One message is Power corrupts the power that Abigail held over not only the girls but also the community helped her to corrupt their minds and beliefs. Without this corrupting power the situation would not have gone to court and innocent people would not have died. Corporal and capital punishment are wrong. Throughout the play each character that was for the court was not for it for the right reasons. Parris was for the court to gain revenge on Proctor and to retain his position in the community, Abigail to take the blame off herself and to eradicate Elizabeth from the love triangle, Putnam to gain land and Mrs Putnam as she cannot seem to grasp the fact that she cannot have children, Hathorne and Danforth as they are enforcing the law and Mary Warren as she is taken in by Abigail. None of the accusations are based on true facts, as a result of these lies innocent people were hanged. If we read the Echoes down the Corridor it states that Twenty years after the last execution, the government awarded compensation to the victims still living and to the families of the dead. Basically the government admits that the hangings were wrong, but no money will bring back the people who were lost, capital punishment cannot bring back the dead if they are found to be innocent later. Echoes down the corridor gives the reader an insight into what happened after the hangings and the effect on the community, Parris was voted from office and left Salem, Abigail turns into a prostitute, Elizabeth married again and farms belonging to victims were left to ruin. The things mentioned are true and are not fictional it shows that Abigail, after her scheming lying ended up in the lowest, demeaning job. Greed is a powerful motivator. The Putnams throughout the play are fuelled by their greed for more land. Their motivation for encouraging the trials, along with the death of their seven babies was greed for land. They do not care who they hurt and consequently, in effect murder, so long as they get what they want. Consider the consequences of your words/actions. Throughout the story people did not think what the possible consequences could be of crying witchcraft. If Abigail had stopped to think that there was a possibility that Proctor would have been hanged, she would not have done what she did. Proctor did not think when he slept with Abigail that Elizabeth would find out and that it would cause friction in their relationship. If Mrs Putnam had accepted the fact that she cannot bear children, she would not have accused anyone, then lives would not have been lost. If Hale had realised right from the beginning that witchcraft was not present in Salem, that the accusations would lead to innocent people being hanged and listened to his conscience, then he may not have been so hungry for statements. Evil as well as good is endemic in society. Both evil and good people can be found in society. Characters such as Abigail, Putnam and Parris were evil in the story and good characters were Proctor, Elizabeth, Giles Corey and Rebecca Nurse. However if there were no evil people in society and in the play we would not know what good was. I think this is an excellent play. I like the way it is based on a true story as it makes it more interesting to read and watch. I think that Miller is a very clever playwright using interesting plots, characters and language to add interest to the play. The messages it conveys were not only relevant then but also now, there is evidence supporting many of his messages today. I think the way Miller leaves it up to you to decide about the characters personalities and their actions is part of what makes the play please everyone, everybody can take something away from the play. My particular favourite quote is said by Elizabeth in Act Two I do not judge you. The magistrate sits in your heart that judges you. To me it means that the only person who can judge you is yourself, nobody else can, as long as you are happy with whom you are. The tension and drama of the play, particularly between John and Elizabeth and during the court scene makes an excellent play. There is great contrast between certain moments for example Act One ends with frantic cries from the girls then Act Two begins with tension and silence between Elizabeth and John. Throughout the story you constantly ask yourself, will John stick to his principles and become a martyr or will he back down and live? Will people continue to believe Abigail? These elements of the play makes you want to read on and find out. The love element throughout the story makes it interesting and we can empathise with the characters, the plot is not unbelievable. The ending has a twist to it, we begin to believe that Proctor will sign the confession then he tears it up, the ending satisfies everybody, Proctor is forgiven and dies a hero. We know Abigail is a villain, but we cannot help but feel some sympathy for her, she watched her own parents killed, she is an orphan living in a community in which she feels suffocated and her heart has been torn apart. When we first began to read the play I did not understand it because there are so many characters and I did not understand the background to the play or generally what was happening. The language was difficult to understand and I did not understand where the play was leading. When we watched a video of the play I began to understand it and was disappointed when we finished reading the play as I had just begun to enjoy it. When I watched the video I learnt who all the characters were, what their positions were in the village and what was happening. I found it easier to understand and I felt that the costumes and the houses made me feel more like I was there. I thought the video was close to the script in the book and was a good representation of the play in film form. I think that if I read this play again I would really understand it and appreciate it even more. Show preview only The above preview is unformatted text This student written piece of work is one of many that can be found in our GCSE Arthur Miller section.

College Students and the Media :: Research Essays

College Students and the Media With my initial research, I sought to find out whether or not college students were informed of the news in the community and world. My results were inconclusive, and through a case study (below) I shifted topics to the attitudes of college students towards the news-media. Through a case study, interviews, and surveys I found that college students have mixed views towards the news-media. The news-media influences how many people think on a certain topic. If news-media reports and accounts are biased, people may be manipulated to believe things that are not true or factual. People, from superstars to the president, can be portrayed as good, evil, selfish, crazy, intelligent, etc. The news-media can use propaganda to illicit these feelings of like or dislike. The responsibility of the news-media is huge. Some blame school violence and shootings on the media. Others criticize the news-media for copy-cat crimes or crimes purposely committed for the attention of the news. But on the other hand, we trust the news-media will keep us accurately informed of events in the world and community. On Tuesday, September 11, 2001, we all sat with teary eyes glued to the television set, watching the news; did we trust what we heard? Case Study The purpose of this case study was to see what a college student is more interested in. I sat down with a college student, Grace, and presented her with two sources of news and information. The two selections were The Indiana Gazette and Star magazine. By doing this case study, I hoped to learn whether this student was more interested in community and world news or gossip in tabloids. I instructed Grace to read through them as she pleased, taking as much time as she wanted. While she was reading I asked her questions about why she chose an article, or why she thought it was interesting. She read the newspaper for an hour and five minutes.

Survival Models And Mortality Data Health And Social Care Essay

In the old chapter 2, we discussed approximately aggregative claims and how it can be modelled and simulated utilizing R scheduling. In this chapter we shall discourse on one of the of import factors which has direct impact on arise of a claim, the human mortality. Life insurance companies use this factor to pattern hazard originating out of claims. We shall analyze and look into the petroleum informations presented in human mortality database for specific states like Scotland and Sweden and utilize statistical techniques. Mortality smooth bundle is used in smoothing the informations based on Bayesian information standard BIC, a technique used to find smoothing parameter ; we shall besides plot the information. Finally we shall reason by executing comparing of mortality of two states based on clip.3.1 IntroductionMortality informations in simple footings is entering of deceases of species defined in a specific set. This aggregation of informations could change based on different vari ables or sets such as sex, age, old ages, geographical location and existences. In this subdivision we shall utilize human informations grouped based on population of states, sex, ages and old ages. Human mortality in urban states has improved significantly over the past few centuries. This has attributed mostly due to improved criterion of life and national wellness services to the populace, but in latter decennaries there has been enormous betterment in wellness attention in recent steps which has made strong demographic and actuarial deductions. Here we use human mortality informations and analyse mortality tendency compute life tabular arraies and monetary value different rente merchandises.3.2 Beginnings of DatasHuman mortality database ( HMD ) is used to pull out informations related to deceases and exposure. These informations are collected from national statistical offices. In this thesis we shall look into two states Sweden and Scotland informations for specific ages and ol d ages. The information for specific states Sweden and Scotland are downloaded. The deceases and exposure informations is downloaded from HMD under Sverige Scotland They are downloaded and saved as â€Å" .txt † informations files in the several difficult disc under â€Å" /Data/Conutryname_deaths.txt † and â€Å" /Data/Conutryname_exposures.txt † severally. In general the information handiness and formats vary over states and clip. The female and male decease and exposure informations are shared from natural informations. The â€Å" entire † column in the information beginning is calculated utilizing leaden norm based on the comparative size of the two groups male and female at a given clip.3.3 Gompertz jurisprudence graduationA well-known statistician, Benjamin Gompertz observed that over a long period of human life clip, the force of mortality additions geometrically with age. This was modelled for individual twelvemonth of life. The Gompertz theoretical account is additive on the log graduated table. The Gompertz jurisprudence states that â€Å" the mortality rate additions in a geometric patterned advance † . Therefore when decease rates are A & gt ; 0 B & gt ; 1 And the line drive theoretical account is fitted by taking log both sides. = a + bx Where a = and B = The corresponding quadratic theoretical account is given as follows3.3.1 Generalized Linear theoretical accounts are P-Splines in smoothing informationsGeneralized Linear Models ( GLM ) are an extension of the additive theoretical accounts that allows theoretical accounts to be fit to data that follow chance distributions like Poisson, Binomial, and etc. If is the figure of deceases at age ten and is cardinal exposed to put on the line so By maximal likelihood estimation we have and by GLM, follows Poisson distribution denoted by with a + bx We shall utilize P-splines techniques in smoothing the information. As mentioned above the GLM with figure of deceases follows Poisson distribution, we fit a quadratic arrested development utilizing exposure as the beginning parametric quantity. The splines are piecewise multinomials normally cubic and they are joined utilizing the belongings of 2nd derived functions being equal at those points, these articulations are defined as knots to suit informations. It uses B-splines arrested development matrix. A punishment map of order linear or quadratic or three-dimensional is used to punish the irregular behavior of informations by puting a punishment difference. This map is so used in the log likeliness along with smoothing parametric quantity.The equations are maximised to obtain smoothing informations. Larger the value of implies smoother is the map but more aberrance. Therefore, optimum value of is chosen to equilibrate aberrance and theoretical account complexness. is evaluated utilizing assorted techniques such as BIC – Bayesian information standard and AIC – Akaike ‘s information standard techniques. Mortalitysmooth bundle in R implements the techniques mentioned above in smoothing informations, There are different options or picks to smoothen utilizing p-splines, The figure of knots ndx, the grade of p-spine whether additive, quadratic or three-dimensional bdeg and the smoothning parametric quantity lamda. The mortality smooth methods fits a P-spline theoretical account with equally-spaced B-splines along ten There are four possible methods in this bundle to smooth informations, the default value being set is BIC. AIC minimisation is besides available but BIC provides better result for big values. In this thesis, we shall smoothen the informations utilizing default option BIC and utilizing lamda value.3.4 MortalitySmooth Package in R plan executionIn this subdivision we describe the generic execution of utilizing R programming to read deceases and exposure informations from human mortality database and usage MortalitySmooth bundle to smoothen the informations based on p-splines. The undermentioned codification presented below tonss the & gt ; require ( â€Å" MortalitySmooth † ) & gt ; beginning ( â€Å" Programs/Graduation_Methods.r † ) & gt ; Age & lt ; -30:80 ; Year & lt ; – 1959:1999 & gt ; state & lt ; – † Scotland † ; Sex & lt ; – â€Å" Males † & gt ; decease =LoadHMDData ( state, Age, Year, † Deaths † , Sex ) & gt ; exposure =LoadHMDData ( state, Age, Year, † Exposures † , Sex ) & gt ; FilParam.Val & lt ; -40 & gt ; Hmd.SmoothData =SmoothenHMDDataset ( Age, Year, decease, exposure ) & gt ; XAxis & lt ; – Year & gt ; YAxis & lt ; -log ( fitted ( Hmd.SmoothData $ Smoothfit.BIC ) [ Age==FilParam.Val, ] /exposure [ Age==FilParam.Val, ] ) & gt ; plotHMDDataset ( XAxis, log ( decease [ Age==FilParam.Val, ] /exposure [ Age==FilParam.Val, ] ) , MainDesc, Xlab, Ylab, legend.loc ) & gt ; DrawlineHMDDataset ( XAxis, YAxis ) The MortalitySmooth bundle is loaded and the generic execution of methods to put to death graduation smoothening is available in Programs/Graduation_Methods.r. The measure by measure description of the codification is explained below.Step:1 Load Human Mortality informationMethod NameLoadHMDDataDescriptionReturn an object of Matrix type which is a mxn dimension with m stand foring figure of Ages and n stand foring figure of old ages. This object is specifically formatted to be used in Mortality2Dsmooth map.ExecutionLoadHMDData ( Country, Age, Year, Type, Sex )ArgumentsCountry Name of the state for which information to be loaded. If state is â€Å" Denmark † , † Sweden † , † Switzerland † or â€Å" Japan † the SelectHMDData map of MortalitySmooth bundle is called internally. Age Vector for the figure of rows defined in the matrix object. There must be atleast one value. Year Vector for the figure of columns defined in the matrix object. There must be atleast one value. Type A value which specifies the type of informations to be loaded from Human mortality database. It can take values as â€Å" Deaths † or â€Å" Exposures † Sexual activity An optional filter value based on which information is loaded into the matrix object. It can take values â€Å" Males † , â€Å" Females † and â€Å" Entire † . Default value being â€Å" Entire †DetailssThe method LoadHMDData in â€Å" Programs/Graduation_Methods.r † reads the informations availale in the directory Data to lade deceases or exposure for the given parametric quantities. The informations can be filtered based on Country, Age, Year, Type based on Deaths or Exposures and in conclusion by Sexual activity.Figure: 3.1 Format of matrix objects Death and Exposure.The Figure 3.1 shows the format used in objects Death and Exposure to hive away informations. A matrix object stand foring Age in rows and Old ages in column. The MortalitySmooth bundle contains certain characteristics for specific states listed in the bundle. They are Denmark, Switzerland, Sweden and Japan. These informations for these states can be straight accessed by a predefined map SelectHMDData. LoadHMDData map checks the value of the variable state and if Country is equal to any of the 4 states mentioned in the mortalitysmooth bundle so SelectHMDData method is internally called or else customized generic map is called to return the objects. The return objects format in both maps remains precisely the same.Measure 2: Smoothen HMD DatasetMethod NameSmoothenHMDDatasetDescriptionReturn a list of smoothened object based BIC and Lamda of matrix object type which is a mxn dimension with m stand foring figure of Ages and n stand foring figure of old ages. This object is specifically formatted to be used in Mortality2Dsmooth map. Tax returns a list of objects of type Mort2Dsmooth which is a planar P-splines smooth of the input informations and order fixed to be default. These objects are customized for mortality informations merely. Smoothfit.BIC and Smoothfit.fitLAM objects are returned along with fitBIC.Data fitted values. SmoothenHMDDataset ( Xaxis, YAxis, ZAxis, Offset.Param )ArgumentsXaxis Vector for the abscissa of informations used in the map Mortality2Dsmooth in MortalitySmooth bundle in R. Here Age vector is value of XAxis. Yaxis Vector for the ordinate of informations used in the map Mortality2Dsmooth in MortalitySmooth bundle in R. Here Year vector is value of YAxis. .ZAxis Matrix Count response used in the map Mortality2Dsmooth in MortalitySmooth bundle in R. Here Death is the matrix object value for ZAxis and dimensions of ZAxis must match to the length of XAxis and YAxis. Offset.Param A Matrix with anterior known values to be included in the additive forecaster during suiting the 2d informations. Here exposure is the matrix object value and is the additive forecaster.Detailss.The method SmoothenHMDDataset in â€Å" Programs/Graduation_Methods.r † smoothens the informations based on the decease and exposure objects loaded as defined above in measure 1. The Age, twelvemonth and decease are loaded as x-axis, y-axis and z-axis severally with exposure as the beginning parametric quantity. These parametric quantities are internally fitted in Mortality2Dsmooth map available in MortalitySmooth bundle in smoothing the information.Step3: secret plan the smoothened informations based on user inputMethod NamePlotHMDDatasetDescriptionPlot the smoothed object with the several axis, fable, axis graduated table inside informations are machine rifles customized based on user inputs.ExecutionPlotHMDDataset ( Xaxis, YAxis, MainDesc, Xlab, Ylab, legend.loc, legend.Val, Plot.Type, Ylim )ArgumentsXaxis Vector for plotting X axis value. Here the value would be Age or Year based on user petition. Yaxis Vector for plotting X axis value. Here the value would be Smoothened log mortality valleies filtered for a peculiar Age or Year. MainDesc Main inside informations depicting about the secret plan. Xlab X axis label. Ylab Y axis label. legend.loc A customized location of fable. It can take values â€Å" topright † , † topleft † legend.Val A customized fable description inside informations – it can take vector values of type twine. Val, Plot.Type An optional value to alter secret plan type. Here default value is equal to default value set in the secret plan. If value =1, so figure with line is plotted Ylim An optional value to put the tallness of the Y axis, by default takes max value of vector Y values.DetailssThe generic method PlotHMDDataset in â€Å" Programs/Graduation_Methods.r † plots the smoothed fitted mortality values with an option to custom-make based on user inputs. The generic method DrawlineHMDDataset in â€Å" Programs/Graduation_Methods.r † plots the line. Normally called after PlotHMDDataset method.3.5 Graphic representation of smoothened mortality informations.In this subdivision we shall look into graphical representation of mortality informations for selected states Scotland and Sweden. The generic plan discussed in old subdivision 3.4 is used to implement the secret plan based on customized user inputs. Log mortality of smoothed informations v.s existent tantrum for Sweden. Figure 3.3 Left panel: – Plot of Year v.s log ( Mortality ) for Sweden based on age 40 and twelvemonth from 1945 to 2005. The points represent existent informations and ruddy and bluish curves represent smoothed fitted curves for BIC and Lamda =10000 severally. Right panel: – Plot of Age v.s log ( Mortality ) for Sweden based on twelvemonth 1995 and age from 30 to 90. The points represent existent informations red and bluish curves represent smoothed fitted curves for BIC and Lamda =10000 severally. Log mortality of smoothed informations v.s existent tantrum for Scotland Figure 3.4 Left panel: – Plot of Year v.s log ( Mortality ) for Scotland based on age 40 and twelvemonth from 1945 to 2005. The points represent existent informations and ruddy and bluish curves represent smoothed fitted curves for BIC and Lamda =10000 severally. Right panel: – Plot of Age v.s log ( Mortality ) for Scotland based on twelvemonth 1995 and age from 30 to 90. The points represent existent informations red and bluish curves represent smoothed fitted curves for BIC and Lamda =10000 severally. Log mortality of Females Vs Males for Sweden The Figure 3.5 given below represents the mortality rate for males and females in Sweden for age wise and twelvemonth wise. 3.5 Left panel reveals that the mortality of male is more than the female over the old ages and has been a sudden addition of male mortality from mid 1960 ‘s boulder clay late 1970 ‘s for male – The life anticipation for Sweden male in 1960 is 71.24 V 74.92 for adult females and it had been increasing for adult females to 77.06 and merely 72.2 for male in the following decennary which explains the tendency. Figure 3.5 Left panel: – Plot of Year v.s log ( Mortality ) for Sweden based on age 40 and twelvemonth from 1945 to 2005. The ruddy and bluish points represent existent informations for males and females severally and ruddy and bluish curves represent smoothed fitted curves for BIC males and females severally. Right panel: – Plot of Age v.s log ( Mortality ) for Sweden based on twelvemonth 2000 and age from 25 to 90. The ruddy and bluish points represent existent informations for males and females severally and ruddy and bluish curves represent smoothed fitted curves for BIC males and females severally. The Figure 3.5 represents the mortality rate for males and females in Sweden for age wise and twelvemonth wise. 3.5 Left panel reveals that the mortality of male is more than the female over the old ages and has been a sudden addition of male mortality from mid 1960 ‘s boulder clay late 1970 ‘s for male – The life anticipation for Sweden male in 1960 is 71.24 V 74.92 for adult females and it had been increasing for adult females to 77.06 and merely 72.2 for male in the following decennary which explains the tendency. The 3.5 Right panel shows the male mortality is more than the female mortality for the twelvemonth 1995, The sex ratio for male to female is 1.06 at birth and has been systematically diminishing to 1.03 during 15-64 and.79 over 65 and above clearly explicating the tendency for Sweden mortality rate addition in males is more than in females. Log mortality of Females Vs Males for Scotland Figure 3.6 Left panel: – Plot of Year v.s log ( Mortality ) for Scotland based on age 40 and twelvemonth from 1945 to 2005. The ruddy and bluish points represent existent informations for males and females severally and ruddy and bluish curves represent smoothed fitted curves for BIC males and females severally. Right panel: – Plot of Age v.s log ( Mortality ) for Scotland based on twelvemonth 2000 and age from 25 to 90. The ruddy and bluish points represent existent informations for males and females severally and ruddy and bluish curves represent smoothed fitted curves for BIC males and females severally. The figure 3.6 Left panel describes consistent dip in mortality rates but there has been a steady addition in mortality rates of male over female for a long period get downing mid 1950 ‘s and has been steadily increasing for people of age 40 years.The 3.6 Right panel shows the male mortality is more than the female mortality for the twelvemonth 1995, The sex ratio for male to female is 1.04 at birth and has been systematically diminishing to.94 during 15-64 and.88 over 65 and above clearly explicating the tendency for Scotland mortality rate addition in males is more than in females. hypertext transfer protocol: //en.wikipedia.org/wiki/Demography_of_Scotland.Log mortality of Scotland Vs Sweden Figure 3.7 Left panel: – Plot of Year v.s log ( Mortality ) for states Sweden and Scotland based on age 40 and twelvemonth from 1945 to 2005. The ruddy and bluish points represent existent informations for Sweden and Scotland severally and ruddy and bluish curves represent smoothed fitted curves for BIC Sweden and Scotland severally. Right panel: – Plot of Year v.s log ( Mortality ) for states Sweden and Scotland based on twelvemonth 2000 and age from 25 to 90. The ruddy and bluish points represent existent informations for Sweden and Scotland severally and ruddy and bluish curves represent smoothed fitted curves for BIC Sweden and Scotland severally. The figure 3.7 Left Panel shows that the mortality rates for Scotland are more than Sweden and there has been consistent lessening in mortality rates for Sweden get downing mid 1970 ‘s where as Scotland mortality rates though decreased for a period started to demo upward tendency, this could be attributed due to alter in life conditions.

Motivating Student Motivation For Students - 1620 Words

Motivating students in the classroom can be challenging, especially for Special Education students in an inclusion classroom. Due to the gap between a special education student’s independence level and current grade level, it is difficult for special education students to retain motivation throughout instruction. In efforts to determine how student motivation can be continuous, additional technology support was created to be implemented in an inclusion classroom. The purpose of this action research proposal is to evaluate the effect of an elementary inclusion general education class to increase student motivation for CSEP students. Becoming familiar with student’s strengths, needs and interests throughout this process is a big factor to†¦show more content†¦In an inclusion setting it best facilitates learning and students were more motivated in that it provided and allowed for differentiation of instruction. I decided to implement a classroom strategy into my own classroom to study how I can address a group of diverse learners. These are students who are performing below, at, and above grade level in a general education inclusion classroom to help with providing instruction in depth while also keeping each student motivated and engaged. As many special education teachers feel overwhelmed even with the amount of support they have in the classroom, I must differentiate a lot of the work alone with my special education students to help them with both their grade level work and their Individualized Education Program goals and objectives. Since many special education students are functioning below grade level, they need modifications and accommodations to help them with their grade level assignments presented to them. The purpose of this action research study is to evaluate the effect of an elementary inclusion general education class to increase student motivation for third grade students. Literature Review Before implementing my action research, I had to decide on a framework that would help me implement my plan. I first began in planning the classroom strategy of how getting CSEP students motivated that I would use, followed by making observations to determine what needed to be acted upon. I then movedShow MoreRelatedReading For Fun By The Naep ( National Assessment Of Education Progress1677 Words   |  7 Pagesnations report card that students at the age of 17 were asked about the frequency at which the read for fun or on their own time, their findings of 17 year olds who reported that they read for fun almost every day decreased 31 percent in 1984 to 20 percent in 2008 (National Center for Educational Statistics, 2008). Based on these statistics, the connection between reading and ‘reading for fun’ has dropped and has not increased in past years. 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The theoretical background for this study centers around ways students interest level arises and fails, and what strategies and activities motivates themRead MoreMotivation in Social Contexts Within the Classroom761 Words   |  3 PagesMotivation in Social Contexts within the Classroom What is motivation and why is it important? As brought out by Dornyei, teacher skills in motivating learners should be seen as central to teaching effectiveness (2001). He asserts that motivational strategies should include appropriate teaching behavior, good teacher-student rapport, a pleasant and supportive classroom atmosphere and a cohesive learner group characterized by proper group norms. In addition, everything that a teacher may do orRead MoreMotivation Of An Ideal Learning Environment1092 Words   |  5 PagesMotivation in Learning Most critics of today’s educational system blame the teachers and the schools for the lack of student engagement. They rarely implicate the students to assign blame. Could it be that learners today lack intrinsic motivation, something quite catastrophic? Motivation is a reason one has a general desire to do something. An ideal learning environment would consist on having students learning for a price, learning with a passion. Motivation is when someone, a youth, wantsRead MoreLearning Curriculum : Towards Student Driven Pedagogy993 Words   |  4 PagesAnanyeva, M. (2013). A learning curriculum: Toward student-driven pedagogy in the context of adult English for academic purposes, English for specific purposes, and workplace English programs. TESOL Journal, 5(1), 8-31. This article introduces the concept of a learning curriculum that centralizes adult ESL learners’ needs and encourages their engagement in curriculum development. By summarizing key components of a learning curriculum including needs assessment and content-based curriculum, the studyRead MoreThe Effect of Motivation on Language Learning Essay990 Words   |  4 Pagesconcept of motivation has been the subject of many studies and is considered a crucial determinant of successful achievement in the field of language learning. A motivating learning environment has to support the education process. It generates learning initially and later will guide the process of acquiring a target language (Cheng Dornyei, 2007). Teachers have long recognized that motivation is centered to problem-solving in education. Motivation is the key factor in getting students involved