Essay on computer a cause of unemployment in future

The top three most important general skills identified were integrity, reliability and teamwork, while the top three most important specific skills are entrepreneurship, communication in English and use of modern tools and technologies. If colleges want to improve the employability of their graduates, they have to focus on reducing these important skill gaps through improvements in curriculum and teaching methods.

The Universities are required to play a significant role for the same so that graduates have to be able to formulate, analyse, and solve a real life problem using standard engineering techniques. Each institution should define the set of skills that a graduate is supposed to have after each semester. Further, colleges need to change pedagogical style from teacher-centric to student-centric, and include more assignments for students to independently analyse and apply tools on real life problems. Only through such changes in the teaching-learning process will the future engineers become more employable.

This quote inspires us to upgrade ourselves continuously through solving real life problems by applying the knowledge gained in the classroom lectures. Employers, universities and professional bodies agree that we need to develop professionals who are highly skilled and ready to face the challenges of increased competition. More than ever we need professionals who are responsive to economic, social, cultural, technical and environmental change and can work flexibly and intelligently across business contexts.

The industry requires new graduates who understand the part they play in building their organisations, and have the practical skills to work effectively in their roles. However, really contributing in the workplace means more than having the necessary technical skills.

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It means engaging with the organisation and its goals, understanding the dynamics of the workplace, and taking up a job role with an informed knowledge of all of its requirements. It also means applying a broad range of employability skills learned in many contexts and through a range of experiences. These are the skills, attitudes and actions that enable workers to get along with their fellow workers and supervisors and to make sound, critical decisions. Unlike occupational or technical skills, employability skills are generic in nature rather than job specific and cut across all industry types, business sizes, and job levels from the entry-level worker to the senior-most position.

Educational curriculum needs to be examined from time to time in order to ensure that the education received by students is relevant and up to date. Industrial training received by students need to be looked into and revised in term of its effectiveness to assured that students are clear with their job scopes later on.

Besides that, instructors should practice employability skill during teaching and learning session so that it could assist students to understand ways of applying the skills by themselves.

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Motivators and counselors have to cooperate with institutions in the process of giving guidance and inspirations to students regarding the ways to increase employability skill from time to time in order to be excellent workers. Apart from that, apprentice programs are suggested to be carried out so that students will be able to understand employability skill better. This program will also serve the purpose to make students realized that employability skill is as important as technical skills. The higher education sector is characterized by diversity; course and student profiles are different and universities aim to develop students with distinct characteristics or attributes.

Universities are required to work in developing employability skills in their students by providing academic staff with relevant support and resources, integrating these skills into curriculum and course design, providing students with work placements and exposure to professional settings and providing advice and guidance through career services.

The following are few suggestions: 1. An Employability Strategy Fund should be created; 2. The employability skills in all university curriculum are to be explicitly identified; 3. The teaching and assessment of employability skills are to be enhanced; 4. Provide funding for universities to systematically review their work on developing employability skills. It wants to hire 3, people this year. Yet in this country of 1. So few of the high school and college graduates who come through the door can communicate effectively in English, and so many lack a grasp of educational basics such as reading comprehension, that the company can hire just three out of every applicants.

India projects an image of a nation churning out hundreds of thousands of students every year who are well educated, a looming threat to the better-paid middle-class workers of the West.

Its increasing difficulty finding competent employees in India has forced the company to expand its search to the Philippines and Nicaragua. Most of its 8, employees are now based outside of India. Nagarajan, founder of the company. India's economic expansion was supposed to create opportunities for millions to rise out of poverty, get an education and land good jobs. But as India liberalized its economy starting in after decades of socialism, it failed to reform its heavily regulated education system.

India, a recruitment firm that also runs job-training programs for college graduates lacking the skills to land good jobs.

It, typically, encompasses concepts such as paradigm, theoretical model, phases and quantitative or qualitative techniques. People are on layoff if they are waiting to be recalled to a job from which they were temporarily separated for business related reasons, such as temporary drops in demand, business downturns, etc.

They must either have been given a date to report back to work or ,if not given a date, must expect to be recalled to their job within 6 months. People on layoff are the only ones who do not need to look for work to be classified as unemployed. To be considered looking for work a person must have conducted an active search for a job within the four weeks prior to the interview week.

essay on computer a cause of unemployment in future

This information, in turn, identifies persons with previous work experience. If the person was working just prior to the current job search, we want to know how the person was separated from that previous job; whether they lost their job, quit their job, or had a temporary job that ended. The individual can respond in either weeks or months. We ask unemployed persons whether they could have started a job last week, if one had been offered. It is to be noted that if the person attaches conditions to the type of work or work schedule they want, this does not affect their availability.

For instance, people who can only work during certain hours, or who want a certain kind of work, were available for work. In order to claim unemployment, the person must prove that he is unemployed through no fault of his own. If he was fired because of misdoings or job related reasons, he is probably ineligible. In most cases, if he voluntarily left his job, he will be considered ineligible. To receive any unemployment benefits, a worker must have had a job or multiple sequential jobs for about a year prior to filing unemployment.

He must provide the unemployment office with all information they request, as well as necessary documentation. Most states can refer the unemployed person to training programs. If he has been displaced from an industry where jobs are no longer available, his state employment office can administer testing to help him identify other career paths.

In most cases, regular unemployment compensation limited to a maximum 26 weeks eligibility. However, in times of high unemployment, the time limit ma be extended. During the recession, for example, unemployment was extended multiple times to grant workers more time for finding jobs. In statistics quality assurance survey methodology sampling is concerned with the selection of a subset of individuals from within a statistical population to estimate characteristics of the whole population. Acceptance sampling is used to determine if a production lot of material meets the governing specifications.

Two advantages of sampling are that the cost is lower and data collection is faster than measuring the entire population.

The combination of these traits makes it possible to produce unbiased estimates of population totals, by weighting sampled units according to their probability of selection. A statistical method of drawing representative data by selecting people because of the ease of their volunteering or selecting units because of their availability or easy access. The advantages of this type of sampling are the availability and the quickness with which data can be gathered.

In it, each individual is chosen randomly and entirely by chance. But in this case , given the scope and scale of the project,it is not possible to conduct a simple random sampling. The Convenience Sampling was conducted among different engineering colleges of India.

From the total number of 50 respondents 35 belonged to public institutions and the rest 15 were from the private engineering colleges. The questionnaire was administered to the third year students of the engineering colleges. The questionnaire has 26 questions. The type of questions were close ended and had to be responded in yes or no. Out of 26 questions,15 have been selected because they represent the basic issues related to the concept of unemployability found among graduate engineers in India. Will the job disruptions caused by technology be temporary as the workforce adapts, or will we see a science-fiction scenario in which automated processes and robots with superhuman skills take over a broad swath of human tasks?

Though these technologies have undoubtedly taken over some human jobs, finding evidence of workers being displaced by machines on a large scale is not all that easy.

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One reason it is difficult to pinpoint the net impact on jobs is that automation is often used to make human workers more efficient, not necessarily to replace them. Rising productivity means businesses can do the same work with fewer employees, but it can also enable the businesses to expand production with their existing workers, and even to enter new markets. Take the bright-orange Kiva robot, a boon to fledgling e-commerce companies.

A warehouse equipped with Kiva robots can handle up to four times as many orders as a similar unautomated warehouse, where workers might spend as much as 70 percent of their time walking about to retrieve goods.

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By making distribution operations cheaper and more efficient, the robotic technology has helped many of these retailers survive and even expand. Automation can solve that problem. Meanwhile, Kiva itself is hiring. Orange balloons—the same color as the robots—hover over multiple cubicles in its sprawling office, signaling that the occupants arrived within the last month.

These algorithms help make the system adaptable. It can learn, for example, that a certain product is seldom ordered, so it should be stored in a remote area. Though advances like these suggest how some aspects of work could be subject to automation, they also illustrate that humans still excel at certain tasks—for example, packaging various items together. Many of the traditional problems in robotics—such as how to teach a machine to recognize an object as, say, a chair—remain largely intractable and are especially difficult to solve when the robots are free to move about a relatively unstructured environment like a factory or office.

Techniques using vast amounts of computational power have gone a long way toward helping robots understand their surroundings, but John Leonard, a professor of engineering at MIT and a member of its Computer Science and Artificial Intelligence Laboratory CSAIL , says many familiar difficulties remain. The big challenge is uncertainty. For that reason, Leonard says, it is easier to see how robots could work with humans than on their own in many applications.