Mentoring vs. Induction Programs Essay Example | Topics and Well Written Essays - 1000 words

Mentoring vs. Induction Programs - Essay Example An induction program facilitates complete and persistent improvement to school customs and the new teachers. It generally adds on the quality of training, support and retention of newly hired or employed teachers. The new recruits become qualified as a result of the induction thereby making them more competent, able and more helpful. Mentoring on the other hand involves a more specific and personal and long term support for new teachers. The newly hired teachers are assigned to experienced fellow teachers who are able to guide and support them. Mentoring programs are limited to resources while in induction there is massive investment that is used to make the program successful. Mentoring is therefore part of the induction process. It however does not have much clear cut goals to be accomplished and it fails to provide substantiation of relationship between professionals, communities and students. Nevertheless, it is important to note that both programs help to reduce first time grind ing down. According to Department of Education (2006), wear and tear among the teachers has reduced by a huge percentage because of mentoring and induction programs that help in supporting sustainability. Induction is more effective and critical because it consists of internships, workshops and clarification that help new students to understand and face new challenges. Induction also seeks to meet the long term teachers’ needs for as long as it is possible. In order to ensure success of both programs there must be a multi-faceted framework that views critical components and it is also quite important to assess the challenges so as to put in place adjustments that meet the challenges wholly and for an extensive period of time. Different adjustments have been put in place to support the new teachers who participate in these programs. Supporting the new teachers is a critical strategy that integrates new teachers into the qualified way of life. Proper implementation attracts sup port and retains effective educators. This program ensures that there is excellence in teaching because it enhances student achievement and builds supportive environment within schools. The support available to new teachers would ensure there is increased scope in regards to their welfare and promotion of personal well being. This supports the new teacher all the way by providing orientation to ascertain that they become self reliant. The Grand Wood AEA Mentoring and Induction program is intended to train mentors so as to ensure service delivery to new teachers. The training provides mentors with improved knowledge and skills that are interactive and full of opportunities for learning and practice; these support the new teachers in their growth and development. This ensures that the mentor and the new teachers finish mentoring assignments in between the sessions thereby ensuring the goals of mentoring are achieved. These support the new teachers and ensure that there is reduced teac her turnover since mentoring ensures new teacher retention. Wong (2004) explores the fact that high quality mentoring and ind

Stock analysis Essay Example | Topics and Well Written Essays - 500 words

Stock analysis - Essay Example The management of the company consists of some of the best professionals in the field; this is under the management of Larry Page who is not only the Chief Executive Officer but also the founder. This is a guarantee that he has faith in his company and he understands the importance of the products and the services that the company offers. Having built the company from scratch it is expected that he will lead the company to further growth which will have a direct impact on shareholders wealth The company runs the most popular search website in the world and provides advertising technology to clients on a global scale (Koller, 54). It has technology that enables the users to get better information in regards to search results. There is a clear representation of pictures, videos and text that has made it very popular with users. Its programs such as AdSense and Ad words are easy to use and make it possible for clients to post their advertisements, uptake of these products is expected to increase by 23% in this financial year. Google is in the technology industry and success in this industry is dependent on the ability of an organisation to come up with innovative products and services on a regular basis. Google has been active in the research end and as a result has been able to regularly come up with products that suit the needs of the consumers. Google has an experimentation culture and this ensures that the company always produces new products that keep potential competitors at bay. Therefore this makes a good investment due to the fact that it will always have products that will keep consumers interested. The operational strategy adopted by Google has proven effective. It produces products that are user specific and are targeted towards a certain group of people or companies. This ensures that these products are tailor made for them at a low cost that

Evolution of the construction industry since the industrial revolution Essay

Evolution of the construction industry since the industrial revolution - Essay Example The building industry as a whole underwent a revolution. The Industrial Revolution created an enormous increase in the production of many kinds of goods and brought about changes in technology and innovation. As the Industrial Revolution grew, private investors and financial institutions were needed to provide money for the further expansion of industrialization. Before the industrial revolution, only ten percent of the people lived in cities while most lived in towns and villages scattered around the cities. The revolution brought about changes which drew large number of people into cities as industry expanded. This resulted in increased demand for housing and the high-rise buildings came into existence. Money was easily available through banks and financiers for construction. Loans and mortgages helped people to build and buy homes. The construction industry is a major industry in the economy of Great Britain and is growing steadily. Advancement in technology led to a boom in the industry in all sectors. While onsite construction was common, offsite construction grew along with it. This resulted in cost reduction and better quality control. Prefabricated structures were largely used and installed specially for bridges. Private housing sector has grown tremendously and may have reached a plateau today in Great Britain. Homes in England with three or more bedrooms were only 7% in 1971 whereas in 2002/3 it stood at 34%. Semi detached homes in England are the most common system of dwelling but only 28% of them have been built in the past 40 years. All the others are much older. The construction industry is divided in two sections – new construction and repairs and maintenance. In the early 1990s, total construction output (in 1995 prices) decreased sharply in Great Britain as a whole2. After 1995, the construction output increased

Technology, the surrender of culture to technology Essay

Technology, the surrender of culture to technology - Essay Example As our civilization has advanced, developed life-altering technologies that would not have been imagined or conceivable a mere 20 years ago, it has become painfully obvious that humanity’s greatest drawback is not concentric around our level and implementation of technology but rather the disparities, inequalities, and moral deviance that defines how we interact with one another. As such, this brief essay will seek to understand and grapple with some of the biggest problems that face our current society with respect to ethics and morality as well as to trace the moral and communicational changes that this author might seek to employ in order to reduce the level of corrosive/destructive habits that define the current world. In this way, the analysis will also consider one of the main drawbacks to such an approach that the author has noted. As the author above stated, our lack of understanding and humanity’s continued disregard for the matters that define the health and lifestyle of others that share our planet is not born out of a lack of access to or application of the correct technology. Instead, these issues are fundamentally born out of the fact that humanity’s selfish nature continually seeks to aggrandize itself at the expense of those around it. Rather than employing the available resources and knowledge to seek to ameliorate the suffering and hardship of others, the issue itself boils down to one of selfishness and lack of concern rather than one which can be defined by an inherent lack of the tools, mechanisms, or technology to alleviate these stresses that exist. In this way, a common theme that can be observed throughout human history and interactions between classes, not to mention the communication models that define these, is the fact that there is a common theme of exploitation that extends from earliest history until the current time. An all too common model for advancement in human society and culture has been that in order to achieve some level of success, another individual or group of individuals must necessarily be exploited to make this happen. Such an approach is of course the epitome of immoral and is one of the reasons that such a high degree of misunderstanding and bloodshed has defined the recent past. Du e to the fact that one group attempts to marginalize, enslave, or exterminate another based no purely selfish and/or utilitarian/immoral motives it results in wars, disease, famines, and all of the negative externalities that help to define the human

Race, ethnicity, gender identity Essay Example | Topics and Well Written Essays - 2000 words

Race, ethnicity, gender identity - Essay Example large number of Asian and Hispanic immigrants migrating to the American sub continent, which is perceived as an alternative avenue of economic attainment, has led to an emergence of an ethnic economy. Besides, the availability of cheap labor and better knowhow at substantially lower prices has led the companies to hire people from every corner of the world. Also the jobs that were initially considered as a â€Å"man’s domain† no longer exist. Companies today do not shy away from hiring the fairer sex in areas where men were given more prudence, as talent is what counts in this fast paced world. The gender gap too has narrowed leading to a culturally diverse work environment. However, this has brought along with it several far reaching repercussions. In a bid to hire cheap and efficient labor several companies today, are increasingly hiring people from all corners of the world, sometimes replacing foreigners in place of the indigenous workforce. This, in turn has led to discrimination on various grounds including gender, ethnicity and race. In spite of the fact that the work environment is increasingly becoming culturally diverse, many organizations still look for the heterosexual male worker usually belonging to the culturally dominant group, as an able candidate for the job. The rest of the work force, who do not conform to the said definition, are subjected to discrimination on various grounds, including age (senior citizens), gender, race, ethnicity, sexual preference, as well as physical disability. In the United States and several other developed countries, there exists widespread discrimination against women especially of the African American descent. They are often subjected to restricted occupations and their occupational mobility is seldom high as regards their positions or levels in the organization. This could be attributed to the popular perceptions about their competence, among their white counterparts, which apparently isn’t too encouraging.

Libyan Revolution Essay Example | Topics and Well Written Essays - 1500 words

Libyan Revolution - Essay Example Through the end of the paper, the reasons of the tyrant leader behind the desire to stay in power are tackled and the implications the regime has brought to Libya and the possible dreadful effects if the current tyrant leader will remain. Qaddafi’s Failure Libya’s leader for more than four decades, Muammar Qaddafi, has failed to protect its people. Under the emergent international law, it is the duty of a nation’s leader to protect its people at all costs. As a leader, it is a responsibility to serve the country and the people in it without self-vested interests. Unfortunately, Qaddafi failed in all these. (http://www.csmonitor.com/World/terrorism-security/2011/0223/Libya-corruption-cult-of-personality-drive-Qaddafi-s-grip-on-power-WikiLeaks-cable) Before entering Benghazi, Qaddafi vowed that he will show no mercy to those people who express negative thoughts about the tyrant regime. Reports show a number of unmerciful executions, indiscriminate shootings and rap es. He called the military action to put an end to these revolts. The actions of this regime are unbecoming for Surname 3 someone who is supposed to protect its people. A huge picture of injustice is vividly present in the soil of Libya. As a result, a massive uprising has started. He ignited the fire that’s burning in the hearts of his people to unite themselves and hold such upheaval against his tyranny. The world has witnessed tremendous change in the minds of a Muslim world. The rejection of Al-Qaeda’s preaching and the act of embracing the ideals of freedom that republic countries highly cherish are visible now in the actions of the Libyan citizens. http://www.dailytelegraph.com.au/news/libyan-forces-fire-on-mourners-at-funeral-again-as-death-toll-rises-to-more-than-200/story-e6freuy9-1226009324524 Corruption in Libya is also widespread. According to the Transparency International’s Corruption Perceptions Index in 2009, Libya ranked a130th of 180 countries. (United Nations, 2010) The Qaddafi government’s integrity has been undermined by favouritism that is based on connections – family and personal. The Qaddafi clan is exercising a near-full control of the major government decisions. See table below Surname 4 The wealth that the Qaddafi clan has accumulated through the assistance of international corporations in the years of the leader’s regime helped ensure his control of Libya. The tens of billions of dollars is said to be the source of payment to his soldiers, mercenaries and allies that help him to stay in power or at least delay his removal form his position. (Unknown, 2011, p 65) This clearly shows how corrupt the Qaddafi government is and one the many grounds for his removal. The Qaddafi government has exploited not only the business sector that is willing to do business with him but also the willing governments. Banks in Libya have gathered profitable fees by helping Iran launder massive sums of wealth in violation of the international sanction sin Tehran. Staying in Power Shutting down communications, refusal of foreign press and killing protesters are some of the ways of the dictator, Qaddafi, in order to sustain power over Libya. Just like any other dictator, Qaddafi would like to stay in power. Hundreds of supporters have offered themselves to be his human shield in case of bombings inside the Qaddafi compound. Supporters say that they are one with the leader and if someone tries to shoot

A glimpse of Big Data Essay Example for Free

A glimpse of Big Data Essay â€Å"Big data is not a precise term; rather its a characterization of the never ending accumulation of all kinds of data, most of it unstructured. It describes data sets that are growing exponentially and that are too large, too raw or too unstructured for analysis using relational database techniques. Whether terabytes or petabytes, the precise amount is less the issue than where the data ends up and how it is used.†Cite from EMC’s report â€Å"Big data: Big opportunity to create business value†. When explosion happened in mobile network, cloud computing and internet technology, more and more different information appeared. In the past, the numerous terabyte data could be a disaster for any company, because it means high cost of storage and high performance CPU. However, in nowadays, companies discovered many facts they haven’t thought about these data before. Companies started to use data analytics technology to find business values from these terabyte or petabyte data. It seems to be a big opportunity instead of disaster for companies now. Data is not only defined as structured data. When we talking about big data, it could be categorized into three types of data: structured data, unstructured data, and semistructured data (Please see Chart I). Especially when internet and mobile internet developed rapidly, the unstructured data and semistructured data exploded. For example, a bank could draw a conclusion by analyze unstructured data to find out why number of churn increased. Most definitions of big data all talk about the size of data. However, size, or volume, is not the only characteristic of big data. There are other two characteristics, variety and velocity. Variety means big data generates from several of sources. Data type was no longer connected to structured data. According to the EMC’s report, most of big data related to unstructured data. Velocity means the speed of data production. Data was no long structured data which was stored in the structured database. Data could come from anywhere and anytime: mobile, censors, devices, manufacturing machine etc. The stream of data generates in real time. This means company’s action should be taken with this speed. Structured data| Structured data is organized in structure. These data can be read and stored by computer. The form of structured data is structured data base that store specific data by methodology of columns and rows. | Unstructured data| Unstructured data refers to the data without identified structure. For example, video, audio, picture, text and so on. These data also called loosely structured data. | Semistructured data| Semistructured data organized in semantic entities. The data’s size and type in one group could be different. For example, XML and RSS feeds. This data try to reconcile the real world with computer based database.| Chart I. Three types of data. Big data analytics Big data analytics is not a technique. It is a terms that contains a lot of technologies (See EXHIBITION I). Based on enterprise’s different requirement, each program will use different technology to analyze data. However, with the big data’s development, some of these techniques become popular and useful. On the basis of the exhibition II, advanced analytics, visualization, real time, in-memory databases and unstructured data have strong-to-moderate commitment and strong potential growth. The traditional techniques, for example, OLAP tools and hand-coded SQL, have gradually lost their place. When a bank want to find the reason why the number of customer churn increased, or marketing department decide to push precise advertisement to their customer, they need to analyze customer behavior. These data from customer service emails, phone call records, sales interview reports, login data from mobile devices, and so on. Almost all of these data cannot be analyzed by traditional data analytic techniques. That’s why these new techniques development so rapid and fierce. How a company adopt big data analytics? According to the article Big Data, Analytics and the Path from Insights to Value† published on MIT Sloan Management Review, the author categorized the company who used big data analytics into three stages (See Exhibition II). For most companies, it is easy to establish an enterprise data warehouses (EDW’s). However, how to interpret these data and finding the business value from these data become the most crucial factor for companies. Besides, so many techniques and tools behind the term big data. For any company who decide to adopt big data analytics, the leading obstacle is lacking of understanding of how to use analytics to improve their business. From the article, the author gave 5 recommendation to any company who wanted to adopt big data analytics. 1. Think Big. Focus on the biggest and highest value opportunities. Narrow down the options. 2. Start in the Middle. Within each opportunity, start with questions, not data. Company prefer to collect data and information at first place. In fact, start with questions could help company continue to narrow down the scope and define the most valuable direction. 3. Make analytics come alive. When Problem was defined, company need to apply analytics. Choosing the propriety tools to analyze the data. 4. Add, dong detract. Use centralized analytics. Every analysis is connected. 5. Build the parts, plan the whole. Big data from everywhere. The data will become more and more big and complex. Building the data infrastructure is crucial for big data analytics. Big Data, Big Opportunity When company decide to concern big data, it means every department are involved. Big data is not IT department’s or analysts’ responsibility. In fact, big data analytics need information and help from sales, marketing, RD, IT and even external sources. Today, number of companies have entered into big data market. The following chart lists some big organizations who have adopted big data analytics. Besides, some of them provide big data services to other companies These organizations are just the tip of the iceberg. When big data converted from Blue Ocean to Red Ocean, some of these organizations have turned into services provider. This become a future trend in big data area. Big data needs expensive hardware and labor cost. Not every company can afford that. Besides, big data involved so many different computer technologies, not everyone understood all these techniques. For that matter, there will be more and more companies try to seek big data service from external environment. Using the external big data platform or tools could reduce the cost for building a totally new technique teams. What the companies need to do is finding the problem, narrow down the scope and sending the needs to services provider. When they get the analysis result, they could use the valued result to take the next action. Furthermore, these services provider will not only focus on big companies. The new fashion is to provide friendly interface and easy to use product to individual customer. What behind big data will be still mystery for people, however, the face or terminal of big data will become more and more friendly and simple. There is an example: Twithink. Twithink is a program invented by a MIT group. They provide customized twitter behavior analysis for customer. This program could draw some conclusion by analysis the unstructured information on Twitter. They collected the gender, location, time, key words, images, etc. from tweets. Then they analysis these data under certain arithmetic to draw conclusions. The last research was the Election in 2012. The latest research is Gun Control discussion which still in progress. Problem and threats. Although big data has many opportunity and advantage for enterprises, it still has some disadvantages. The first crucial problem is privacy invasion. After you searched one product on Amazon, the next time when you login to Amazon, you will find the products you may interested which was Amazon pushed to you. This is called precise advertisement. However, you even didn’t know when amazon collected your information. Another example was Google Analyst, company embedded code into their website to collect people’s internet behavior. These things happened every day and everywhere. It is hard to argue this action is right or wrong. Maybe some are good. However, if personal data is sold or published by someone, it will affect individual’s daily life. It will become a crucial problem. The Second problem is information’s validity. According to the article â€Å"With big data comes big responsibilities† points out that â€Å"big data sets are never complete†. If data is insufficient, the analysis result would be invalid or distorted. The invalid information would guide company to wrong direction and cause a big loss. Thus, big data also has two side. How to use it to create more value for company is the first consideration for all managers. Reference 1. Office 2013 Brings BI, Big Data to Windows 8 Tablets. ZDNet. N.p., n.d. Web. 25 Jan. 2013. 2. Big Recognition for IBM Big Data. Smarter Computing Blog Big Recognition for IBM Big Data Comments. N.p., n.d. Web. 25 Jan. 2013. 3. Big Data. Wikipedia. Wikimedia Foundation, 26 Jan. 2013. Web. 26 Jan. 2013. 4. Structured Data. Webopedia. N.p., n.d. Web. 26 Jan. 2013. 5. Unstructured Data. Webopedia. N.p., n.d. Web. 26 Jan. 2013. 6. Group of EMC. Big Data: Big Opportunities to Create Business Value. Rep. EMC, n.d. Web. 26 Jan. 2013. 7. Philip Russom. Big Data Analytics. N.p.: TDWI, 2011. Print. 8. Lavalle, Steve. Big Data, Analytics and the Path from Insights to Value. MIT Sloan Management Review Winter 2011: 21-31. Web. 9. Ã¥ ¤ §Ã¦â€¢ °Ã¦  ®Ã¥ · ²Ã¦Ë† Ã§ º ¢Ã¦ µ ·Ã¯ ¼Å¸Ã¯ ¼ Ã¥â€¦ ¨Ã§ Æ'Ã¥  Ã¥â€ºâ€ºÃ¤ ¸ ªÃ¥ ¤ §Ã¦â€¢ °Ã¦  ®Ã¥â€¦ ¬Ã¥  ¸Ã¥â€¦ ¨Ã©  ¢Ã§â€ºËœÃ§â€š ¹Ã¯ ¼ . N.p., n.d. Web. 26 Jan. 2013. 10. IBM InfoSphere Platform Big Data, Information Integration, Data Warehousing, Ma ster Data Management, Lifecycle Management Data Security. IBM InfoSphere Platform Big Data, Information Integration, Data Warehousing, Master Data Management, Lifecycle Management Data Security. N.p., n.d. Web. 26 Jan. 2013. 11. Amazon Web Services, Cloud Computing: Compute, Storage, Database. Amazon Web Services, Cloud Computing: Compute, Storage, Database. N.p., n.d. Web. 26 Jan. 2013. 12. Oracle Big Data Appliance. Oracle Big Data Appliance. N.p., n.d. Web. 26 Jan. 2013. 13. Google BigQuery Feedback on This Document. Google BigQuery. N.p., n.d. Web. 26 Jan. 2013. 14. EMC Greenplum Data Computing Appliance Data Warehousing, Data Analytics (FW).EMC Greenplum Data Computing Appliance Data Warehousing, Data Analytics (FW). N.p., n.d. Web. 26 Jan. 2013. 15. Teradata. Data Appliance, Data Warehouse, Business Intelligence à ¢Ã‚€Â“. N.p., n.d. Web. 26 Jan. 2013. 16. Twithinks. TwiThinks. N.p., n.d. Web. 26 Jan. 2013. 17. Eria Naone. With Big Data Comes Big Responsibilities. N.p.: MIT Technology Review, n.d. 2011.