Prefect and the duties Essay Example

Prefect and the duties Paper I have chosen to do my piece of coursework on the school based activity of being a prefect and the duties that come with it. I chose to do this activity because its something I know will eventually make a difference to the school itself, be it little or big, and the school community as a whole. I also found that this activity was quite interesting, as something new happened everyday whether it is while completing duties or just a normal day. When I was planning this activity I had to think about how I would deal with certain people who didnt pay any attention to prefects. I also thought about how I would remember to turn up every Wednesday and Friday. However, most importantly I had to plan how to keep my concentration on doing my best. When I first started this activity there were some problems to overcome, these included the people who would not show any respect or attention to what I was doing and how they would be one to cause more problems for my allocated teacher and myself to deal with. We will write a custom essay sample on Prefect and the duties specifically for you for only $16.38 $13.9/page Order now We will write a custom essay sample on Prefect and the duties specifically for you FOR ONLY $16.38 $13.9/page Hire Writer We will write a custom essay sample on Prefect and the duties specifically for you FOR ONLY $16.38 $13.9/page Hire Writer I was able to sort these problems out though because the teachers understood about what could happen and that if there were a certain pupil who was rude or didnt listen they would explain to them the purpose of prefects. If problems persisted with a pupil against a prefect, senior staff got involved to sort the problem out quickly and quietly. I still carry on doing this activity today and so far have done activities such as minding that people behave around the school site, helping the teachers at break and lunch and setting an example to the younger pupils to follow. There were other people involved in this activity and they had to do the same kind of thing with their allocated teacher. All of the prefects agreed to work as a team at the beginning in a prefect assembly. We agreed that we would achieve more if we were as a unit and done our very best. Our head teacher spoke to us all as a team and explained what we would be doing and how it helped the school. A typical day for myself is that I would set an example from the very moment I step out of my house to my journey to school, and till the end of the day when I get home. This would be making sure I am smartly dressed, proud of what I was doing and not causing any problems. Once I enter the school grounds, I would make sure that I remained the same positive person and to make sure I behave in a way that others should. When its my time to do a duty with the teacher, I meet up with them in the classroom and go to wherever we need to together, we then discuss what we are going to do, for example, in the school canteen, I will stay at one end of the room making sure everyone is doing everything they should, and the teacher will be at the other end controlling queues and general behaviour problems. If there was someone not doing as they should, I would quietly ask them to do the right thing, and if they continue doing wrong, I would either ask them to talk with the teacher or ask the teacher to go to them. The majority of the time, most pupils are well behaved and dont cause any big problems to deal with. At the end of the break I would make sure the canteen is tidy and ready for use again. After I have finished this duty, I would carry on my school day as when I first come in to school. People benefited from this activity because they learn they could not get away with trying to rebel against the teachers or prefects. The whole school community also benefited because it did make a small number of pupils feel safer that there was a team to sort out any problems like fighting or bullying. It also benefited the younger pupils because they had someone to look up to and follow. If I had to be involved in this activity in the future I would try and changed certain pupils attitudes towards the prefect team. I would also like to see prefects have more power to giving detentions with a good reason, and if it was necessary, they could enforce further punishment. I also thing prefects should have more rewards for working hard and trying to make the school a better place.

Ancient near east works essays

Ancient near east works essays In studying the literature developed by ancient Near East civilizations, you will find a wide range of readings varying from The Epic of Gilgamesh to The Old Testament. I will give a brief overview to each of these readings from this time period found in the Bailkey and Lim textbook, as well as give their significance to the time period. First off, The Epic of Gilgamesh tells the story of a Sumerian king who, with companion Enkidu at his side, slays monsters to build up his reputation. When Enkidu dies after angering the gods, Gilgamesh then goes on a quest for achieving immortality. It is significant to the time because, it tells of the proper way an individual should relate to society during this time; the way the gods relate to man, the proper way to rule a people, and the proper way to obey a king, and what man owes to the gods. The Epic of the Flood is a Babylonian story that resembles that of the Bibles Noah and his ark. Utnapishtim learns of a great flood coming to wipe out all of the lands inhabitants and gains immortality from the gods for surviving the flood. The story is significant as it part of the Epic of Gilgamesh and describes how one can become immortal during the time, and perhaps godlike. The Reforms of Urukagina discusses the changes brought forth by Urukagina, the ruler of Laggash. His reforms call for erasing corruption in the lands, the first example of a judicial code. The Shamash Hymn reflects the view of their society toward the sun. It was a long hymn originally written in cuneiform, it is one of the wider known Mesopotamian religious writings. The Laws of Hammurabi discuss how justice should be administered, as well as how to regulate property, irrigation, slavery, marriage, trade, loans, wages, adoption and many other issues during the time. The Laws of Hammurabi are the longest and best organized of the law collections that survive from ancient Mesopotamia. The law collection itself is m...

The UN system for the protection of Human Rights Essay

The UN system for the protection of Human Rights - Essay Example 146). Over the past few decades, there has been a heated debate over the justiciabilty of social, economic and cultural rights. In the recent past, many countries have expanded the scope of their constitutions to include social, economic, political and cultural rights to its citizens and many domestic courts, federal courts, regional bodies and international organisations have issued several ruling over social and economic claims (Baderin & Ssenyonjo, 2010, p. 479; Schutter, 2010, p. 173). This has led many experts to conclude that the debate regarding the justiciabilty of social, economic and cultural matters is over and that these rights are justiciable. With Inter American Court of Human Rights, European Court of Human Rights, African Court on Humans and People’s Rights and other regional courts extending their number of judgements on such matters, the common view is that social, economic and cultural rights have become justiciable (Sepulveda, et al., 2003, p. 67). Therefor e, when the United Nations General Assembly adopted the Optional Protocol to the International Covenant of Economic, Social and Cultural Rights many human rights activists and people all over the world termed the same as â€Å"victory for socio-economic rights’. However, this paper makes an attempt to evaluate, critically, this statement by presenting both sides of the story. The paper would begin with introducing brief histories and background of the International Covenant on Economic, Social and Cultural Rights, Committee on Economic, Social and Cultural Rights and Optional Protocol to the International Covenant on Economic, Social and Cultural Rights, which would be followed by the evaluation of the Justiciability debate. Discussion International Covenant on Economic, Social and Cultural Rights Drafted in the year 1954 and signed on December 16, 1966, the International Covenant on Economic, Social and Cultural Rights (ICESCR) is a United States General Assembly Resolution . As the name suggests, it binds its parties towards ensuring the protection and provision of the economic, social and cultural rights of individuals. Currently, this multilateral treaty has 160 parties that have signed and ratified the covenant. However, 32 states have either not signed or signed but nor ratified the covenant up till this point in time (Young, 2012, p. 113). Interestingly, the United States of America, which signed the covenant on October 5, 1977, even after 35 years is yet to ratify the constitution. Six then, the United States has been governed under six different administration of Cater, Reagan, George W. H. Bush, Clinton, George W. Bush and Obama administration (Baderin & Ssenyonjo, 2010, p. 479). As conservative republicans, Reagan, George W. H. Bush and George W. Bush administrations did not see economic, social and cultural rights as â€Å"inalienable human rights†, but as desirable economic, social and cultural goals that should not be the object of binding covenants. On the other hand, Carter, Clinton and Obama administration have recognised the same as â€Å"human rights†, but have delayed ratifying the covenant into the US constitution because of various political reasons (Sepulveda, et al., 2003, p. 67). In essence, ICESCR is an extension of the Universal

Youtility Essay Example | Topics and Well Written Essays - 500 words

Youtility - Essay Example From this essay it is clear that  the chapter covers the essence of Meijer Find-It application that helps the customers find products when shopping. This application is different from Google Maps as Point Inside specializes in indoor cartography that helps the customer save time when shopping giving them a chance to make instant buying. The chapter states that this application will help reduce the 5% loss that failing to find a product when shopping. The chapter covers the essence of better marketing strategies to compete favorably. It claims that the marketers should try to give room for more information on their products rather than lower the prices of their goods.  This study discusses that  in the article on the major mistakes analysts make and ways to avoid them, the author states that the biggest mistake is the lack of purpose in their marketing techniques. The article illustrates that the marketers have many data, but since the advertising ad has no room to portray all d ata, the portrayed data lacks depth in analyzing the product and proving its value. The author calls for companies to enforce the digital marketing and measurement model, which is a five-step process. The processes tend to answer the following questions; why the site exists, the parts of the website that one should focus on first, to provide the measurement of how smart the digital marketing strategy is, how the company is doing in the competition front and the fastest way that one can have an impact on the business.

DB 6 Research Paper Example | Topics and Well Written Essays - 750 words

DB 6 - Research Paper Example Deposits refer to clients’ money that are kept with the bank while borrowings are cash and cash equivalents that a banking institution may borrow from other sources such as other commercial banks and the Federal Bank (Union Bank, 2011). Liabilities of a magazine publisher, like those of a newspaper publisher, are however diverse and can be explored in terms of current liabilities and long term liabilities. Current liabilities of the form of business organization are creditors, accrued payroll, prepaid subscriptions, accrued expenses, and outstanding taxes. Portions of long term debts and lease liabilities that falls due in a given accounting period also form part of the publishers’ short term liabilities. Long-term liabilities for the form of business include â€Å"long term debt and capital lease obligations,† â€Å"pension benefits obligations,† â€Å"post retirement benefits obligations† among other long-term commitments (New York Times, 2012, p. 55). Current liabilities of a departmental store such as Macy’s departmental stores however include â€Å"short term debt,† â€Å"merchandise accounts payable,† â€Å"accounts payable and accrued liabilities,† â€Å"income taxes and differed income taxes† and outstanding taxes while long term liabilities are long term debts, outstanding taxes and other forms of long term liabilities (Macy’s, 2012, F-5). Borrowings and outstanding taxes are the common types of liabilities for the three forms of organizations while accounts payable, accrued expenses, accrued liabilities and long-term debts are common elements among magazine publishing organizations and departmental stores. Deposits are however unique for a banking institution while prepaid subscriptions are unique for a magazine publishing organization’s balance sheet and merchandise accounts payable is unique among departmental stores (Union Bank, ; New York Times, ; Macy’s, ). Project 2: A report for Alcenon’s management The Corporation leases a large percentage of its operational assets. The choice to make operating leases as opposed to capital lease has aimed at keeping lease debts out of the organization’s balance sheet in order to attain low debt rations in financial reports. Alcenon is currently negotiating a 10-year-lease on an asset whose anticipated useful life is 15 years. Terms of the lease requires ten annual lease payments at $ 20000 per year. The first installment is due at the beginning of the lease term and the value of the leased asset is $ 135180. There is no provision for transfer of title to the lessee and no provision for bargain purchase. Decision into accounting for the lease as an operating lease must however be based on accounting and legal provisions that the management must be informed of. This report explores relevant provisions to accounting for the lease and makes recommendations to the management. Accounting co ncepts for professional and legal regulation of accounting for asset lease differentiate between capital lease and operating lease and knowledge of the differences must be identified before the corporation classifies the lease. One of the factors that the management should consider is the lease duration relative to the asset’

VDEC Based Data Extraction and Clustering Approach

VDEC Based Data Extraction and Clustering Approach This chapter describes in details the proposed VDEC Approach. It discusses the two phases of the VDEC process for Data Extraction and clustering. Experimental performance evaluation results are shown in the last section in comparing the GDS and SDS datasets. INTRODUCTION Extracting data records on the response pages returned from web databases or search engines is a challenge posed in information retrieval. Traditional web crawlers focus only on the surface web while the deep web keeps expanding behind the scene. Vision based data extraction provides a solution to extract information from dynamic web pages through page segmentation for creating a data region and data record and item extraction. A vision based web information extraction systems become more complex and time-consuming. Detection of data region is a significant problem for information extraction from the web page. This chapter discusses an approach to vision-based deep web data extraction and web document clustering. The proposed approach comprises of two phases, (1) Vision-based web data extraction, and (2) web document clustering. In phase 1, the web page information is segmented into various chunks. From which, surplus noise and duplicate chunks are removed using three parameters, such as hyperlink percentage, noise score and cosine similarity. Finally, the extracted keywords are subjected to web document clustering using Fuzzy c-means clustering (FCM). VDEC APPROACH VDEC approach is designed to extract visual data automatically from deep web pages as shown in the block diagram in figure 5.1. Figure 5.1 – VDEC Approach Block diagram In most of web pages, there will be more than one data object tied together in data region, makes difficult to search attributes for each page. Unprocessed source of web page for representing the objects is non-contiguous one, the problem becomes more complicated. In existent applications, the users necessitate from complex web pages is the description of individual data object derived from the partitioning of the data region. VDEC achieve the data capturing from the deep web pages using two phases as discussed in the following sections. Phase-1 Vision Based Web Data Extraction In Phase-1 VDEC approach performs data extraction and a measure is introduced to evaluate the importance of each leaf chunk in the tree, which in turn helps us to eliminate noise in a deep web page. In this measure, remove the surplus noise and duplicate chunk using three parameters such as hyperlink percentage, Noise score and cosine similarity. Finally, obtain the main chunk extraction process using three parameters such as Title word Relevancy, Keyword frequency based chunk selection, Position features and a set of keywords are extracted from those main chunks. Phase-2 Web Document Clustering In Phase-2 VDEC perform web document clustering using Fuzzy c-means clustering (FCM), the set of keywords were clustered for all deep web pages. Both the phases of the VDEC helps to extract the visual features of the web pages and supports on web page clustering for improvising information retrieval. The process activities are briefly described in the following section. DEFINITIONS OF TERMS USED IN VDEC APPROACH Definition (chunk): Consider a deep web page is segmented by blocks. These each block are known as chunk. For example the web page is represented as, , where the main chunk, . Definition (Hyperlink): A hyperlink has an anchor, which is the location within a document from which the hyperlink can be followed; the document having a hyperlink is called as its source document to web pages. Hyperlink percentage Where, à ¯Ã†â€™Ã‚   Number of Keywords in a chunk à ¯Ã†â€™Ã‚   Number of Link Keywords in a chunk Definition (Noise score): Noise score is defined as the ratio of the number of images in total number of chunks. Noise score, Where, à ¯Ã†â€™Ã‚   Number of images in a chunk à ¯Ã†â€™Ã‚   Total number of images Definition (Cosine similarity): Cosine similarity means calculating the similarity of two chunks. The inner product of the two vectors, i.e., the sum of the pairwise multiplied elements, is divided by the product of their vector lengths. Cosine Similarity, Where, , à ¯Ã†â€™Ã‚  Weight of keywords in, Definition (Position feature): Position features (PFs) that indicate the location of the data region on a deep web page. To compute the position feature score, the ratio is computed and then, the following equation is used to find the score for the chunk. (4) Where, à ¯Ã†â€™Ã‚   à ¯Ã†â€™Ã‚   Position features Definition (Title word relevancy): A web page title is the name or heading of a Web site or a Web page. If there is more number of title words in a certain block, then it means that the corresponding block is of more importance. Title word relevancy, Where, à ¯Ã†â€™Ã‚   Number of Title Keywords à ¯Ã†â€™Ã‚   Frequency of the title keyword in a chunk Definition (Keyword frequency): Keyword frequency is the number of times the keyword phrase appears on a deep Web page chunk relative to the total number of words on the deep web page. Keyword frequency based chunk selection, Where, à ¯Ã†â€™Ã‚   Frequency of top ten keywords à ¯Ã†â€™Ã‚   Number of keywords à ¯Ã†â€™Ã‚   Number of Top-K Keywords PHASE-1 – VISION BASED DEEP WEB DATA EXTRACTION In a web page, there are numerous immaterial components related to the descriptions of data objects. These items comprise an advertisement bar, product category, search panel, navigator bar, and copyright statement, etc. Generally, a web page is specified by a triple. is a finite set of objects or sub-web pages. All these objects are not overlapped. Each web page can be recursively viewed as a sub-web-page and has a subsidiary content structure. is a finite set of visual separators, such as horizontal separators and vertical separators. Every separator has a weight representing its visibility, and all the separators in the same have the same weight. is the relationship of every two blocks in , which is represented as:. In several web pages, there are normally more than one data object entwined together in a data region, which makes it complex to find the attributes for each page. Deep Web Page Extraction The Deep web is usually defined as the content on the Web not accessible through a search on general search engines. This content is sometimes also referred to as the hidden or invisible web. The Web is a complex entity that contains information from a variety of source types and includes an evolving mix of different file types and media. It is much more than static, self-contained Web pages. In our work, the deep web pages are collected from Complete Planet (www.completeplanet.com), which is currently the largest deep web repository with more than 70,000 entries of web databases. Chunk Segmentation Web pages are constructed not only main contents information like product information in shopping domain, job information in a job domain, but also advertisements bar, static content like navigation panels, copyright sections, etc. In many web pages, the main content information exists in the middle chunk and the rest of the page contains advertisements, navigation links, and privacy statements as noisy data. Removing these noises will help in improving the mining of the web and it’s called Chunk Segmenting Operation as shown in figure.5.2. Figure 5.2 Chunk Segmenting Operation To assign importance to a region in a web page (), we first need to segment a web page into a set of chunks. It extracts main content information and deep web clustering that is both fast and accurate. The two stages and its sub-steps are given as follows. Stage 1: Vision-based deep web data identification Deep web page extraction Chunk segmentation Noisy chunk Removal Extraction of main chunk using chunk weightage Stage 2: Web document clustering Clustering process using FCM Normally, a tag separated by many sub tags based on the content of the deep web page. If there is no tag in the sub tag, the last tag is consider as leaf node. The Chunk Splitting Process aims at cleaning the local noises by considering only the main content of a web page enclosed in div tag. The main contents are segmented into various chunks. The result of this process can be represented as follows: , Where, à ¯Ã†â€™Ã‚   A set of chunks in the deep web page à ¯Ã†â€™Ã‚   Number of chunks in a deep web page In Figure 5.1, we have taken an example of a tree sample which consists of main chunks and sub chunks. The main chunks are segmented into chunks C1, C2 and C3 using Chunk Splitting Operation and sub-chunks are segmented into . Noisy Chunk Removal A deep web page usually contains main content chunks and noise chunks. Only the main content chunks represent the informative part that most users are interested in. Although other chunks are helpful in enriching functionality and guiding browsing, they negatively affect such web mining tasks as web page clustering and classification by reducing the accuracy of mined results as well as speed of processing. Thus, these chunks are called noise chunks. Removing these chunks in our research work, we have concentrated on two parameters; they are Hyperlink Percentage and Noise score which is very significant. The main objective of removing noise from a Web Page is to improve the performance of the search engine. The representation of each parameter is as follows: Hyperlink Keyword – A hyperlink has an anchor, which is the location within a document from which the hyperlink can be followed; the document containing a hyperlink is known as its source document to web pages. Hyperlink Keywords are the keywords which are present in a chunk such that it directs to another page. If there are more links in a particular chunk then it means the corresponding chunk has less importance. The parameter Hyperlink Keyword Retrieval calculates the percentage of all the hyperlink keywords present in a chunk and is computed using the following equation. Hyperlink word Percentage, Where, à ¯Ã†â€™Ã‚   Number of Keywords in a chunk à ¯Ã†â€™Ã‚   Number of Link Keywords in a chunk Noise score – The information on Web page consists of both text and images (static pictures, flash, video, etc.). Many Internet sites draw income from third-party advertisements, usually in the form of images sprinkled throughout the site’s pages. In our work, the parameter Noise score calculates the percentage of all the images present in a chunk and is computed using the following equation. Noise score, Where, à ¯Ã†â€™Ã‚   Number of images in a chunk à ¯Ã†â€™Ã‚   Total number of images Duplicate Chunk Removal Using Cosine Similarity: Cosine Similarity Cosine similarity is one of the most popular similarity measure applied to text documents, such as in numerous information retrieval applications [7] and clustering too [8]. Here, duplication detection among the chunk is done with the help of cosine similarity. Given two chunks and, their cosine similarity is Cosine Similarity Where, , à ¯Ã†â€™Ã‚  Weight of keywords in, Extraction of Main Block Chunk Weightage for Sub-Chunk: In the previous step, we obtained a set of chunks after removing the noise chunks, and duplicate chunks present in a deep web page. Web page designers tend to organize their content in a reasonable way: giving prominence to important things and deemphasizing the unimportant parts with proper features such as position, size, color, word, image, link, etc. A chunk importance model is a function to map from features to importance for each chunk, and can be formalized as : . The preprocessing for computation is to extract essential keywords for the calculation of Chunk Importance. Many researchers have given importance to different information inside a webpage for instance location, position, occupied area, content, etc. In this research work, we have concentrated on the three parameters Title word relevancy, keyword frequency based chunk selection, and position features which are very significant. Each parameter has its own significance for calculating sub-chunk weightage. The following equation computes the sub-chunk weightage of all noiseless chunks. (1) Where à ¯Ã†â€™Ã‚   Constants For each noiseless chunk, we have to calculate these unknown parameters, and. The representation of each parameter is as follows: Title Keyword – Primarily, a web page title is the name or title of a Web site or a Web page. If there is more number of title words in a particular block then it means the corresponding block is of more importance. This parameter Title Keyword calculates the percentage of all the title keywords present in a block. It is computed using the following equation. Title word Relevancy; (2) Where, à ¯Ã†â€™Ã‚   Number of Title Keywords à ¯Ã†â€™Ã‚   Title word relevancy, à ¯Ã†â€™Ã‚   Frequency of the title keyword in a chunk. Keyword Frequency based chunk selection: Basically, Keyword frequency is the number of times the keyword phrase appears on a deep Web page chunk relative to the total number of words on the deep web page. In our work, the top-K keywords of each and every chunk were selected and then their frequencies were calculated. The parameter keyword frequency based chunk selection calculates for all sub-chunks and is computed using the following equation. Keyword Frequency based chunk selection (3) Where, à ¯Ã†â€™Ã‚   Frequency of top ten keywords à ¯Ã†â€™Ã‚   Keyword Frequency based chunk selection à ¯Ã†â€™Ã‚   Number of Top-K Keywords Position features (PFs): Generally, these data regions are always centered horizontally and for calculating, we need the ratio of the size of the data region to the size of the whole deep Web page instead of the actual size. In our experiments, the threshold of the ratio is set at 0.7, that is, if the ratio of the horizontally centered region is greater than or equal to 0.7, then the region is recognized as the data region. The parameter position features calculate the important sub chunk from all sub chunks and is computed using the following equation. (4) Where, à ¯Ã†â€™Ã‚   à ¯Ã†â€™Ã‚   Position features Thus, we have obtained the values of, and by substituting the above mentioned equation. By substituting the values of , and in eq.1, we obtain the sub-chunk weightage. Chunk Weightage for Main Chunk: We have obtained sub-chunk weightage of all noiseless chunks from the above process. Then, the main chunks weightage are selected from the following equation (5) Where,à ¯Ã†â€™Ã‚   Sub-chunk weightage of Main-chunk. à ¯Ã†â€™Ã‚   Constant, à ¯Ã†â€™Ã‚   Main chunk weightage. Thus, finally we obtain a set of important chunks and we extract the keywords from the above obtained important chunks for effective web document clustering mining. Algorithm-1 : Clustering Approach PHASE-2 – DEEP WEB DOCUMENT CLUSTERING USING FCM Let DB be a dataset of web documents, where the set of keywords is denoted by . Let X={x1, x2, †¦Ã¢â‚¬ ¦, xN} is the set of N web documents, where, xi={ xi1,xi2,†¦.,xin}. Each xij(i=1,†¦.,N;j=1,†¦.,n) corresponds to the frequency of keyword xi on web document. Fuzzy c-means [29] partitions set of web documents indimensional space into fuzzy clusters with cluster centers or centroids. The fuzzy clustering of keywords is described by a fuzzy matrix with n rows and c columns in which n is the number of keywords and c is the number of clusters. , the element in the row and column in, indicates the degree of association or membership function of the object with the cluster. The characters of are as follows: (6) (7) (8) The objective function of FCM algorithm is to minimize the Eq. (9): (9) Where (10) in which, m(m >1) is a scalar termed the weighting exponent and controls the fuzziness of the resulting clusters and dij is the Euclidian distance from key to the cluster center zip. The zj, centroid of the jth cluster, is obtained using Eq. (11) (11) The FCM algorithm is iterative and can be stated as in Algorithm-2. Algorithm-2 : Fuzzy c-means Approach Experimental Setup The experimental results of the proposed method for vision-based deep web data extraction for web document clustering are presented in this section. The proposed approach has been implemented in Java (jdk 1.6) and the experimentation is performed on a 3.0 GHz Pentium PC machine with 2 GB main memory. For experimentation, we have taken many deep web pages which contained all the noises such as Navigation bars, Panels and Frames, Page Headers and Footers, Copyright and Privacy Notices, Advertisements and Other Uninteresting Data. These pages are then applied to the proposed method for removing the different noises. The removal of noise blocks and extracting of useful content chunks are explained in this sub-section. Finally, extracting the useful con

My Teaching Philosophy Essay -- Education Teaching Philosophy

My Teaching Philosophy I believe that education extends far beyond the classroom walls, and involves many more people than students and teachers. People should be learning wherever they go, and should continue learning long after they’ve graduated from high school or college. Education isn’t something that can be quantified with tests or report cards, but is instead something that people carry with them. It’s a survival pack for life, and some people are better equipped in certain areas than in others. People with a solid education are prepared for nearly anything, as they will be able to provide for their own physical, emotional, and aesthetic needs. That being said, I also believe that a crucial part of education does occur within school during the formative years of a person’s life. Regardless of whether a child is fortunate enough to come from an encouraging and loving home, it is the job of the school to provide emotional support as well as intellectual knowledge. â€Å"The school,† of course, is an abstract term which actually means the teachers and administrators. I...