Motivation Analysis Essay Example For Students

Motivation Analysis Essay Motivation is the willingness to exert high levels of effort toward organizational goals, conditioned by the efforts ability to satisfy some individual needs (Robbins, 168). For some business analysts, employee motivation is a good way to increase productivity in an organization. When people get motivated, they will have a reason to put more efforts on what they are doing. Motivation is a crucial management tool in lifting the organizations work forces ability. There are many different ways to motivate employees. Employers can motivate their workers as individuals, groups, teams, or the organization as a whole. Motivation takes forms like offering rewards, improving working conditions, or employee recognition. However, which approach should employers try?Team-based reward systems have been raised as an issue in work management areas. Many people prefer team-based reward systems to an individual approach. San Diego Business Journal, issued on Oct. 6, 1997, published an article titled Team-Based Productivity Incentive System. This article summarized the ideas that supported the team-based approach. The author, Bob Harrington, opposed the individual reward system. As he stated, individual reward systems create unnecessary competition and reduce cooperation between employees. It also reduces creativity because employees will only do what is necessary to get rewarded. Moreover, Harrington said team-based incentives influence individuals to work well together and cooperate with one another. No longer are employees and management measured purely against financial information. Instead, outstanding performance is based on a combination of items that measure the strategic objectives of the corporation. This paper will see if the team-based incentive systems are the best approach for business environments as Harrington discussed. Medical insurance and educational opportunities, among others are all common benefits in compensation programs for many manufacturers. Many peop le argued that these benefits attract and retain employees, but have little to do with work performance. Some also believe that if these benefits are spread out among workers in general, these kinds of work incentives will not guarantee good performance. Well Pay vs. Sick Pay is an example of how an incentive program reinforces wrong behavior and reduces productivity. Manufacturers with incentive systems that reward employees for achievements and growth can increase their competitiveness and profitability in todays global market. Yes, it is true that organizations need to have incentive systems to satisfy their work force. Team-based incentive systems such as gain sharing, profit sharing, etc., become increasingly popular in work environments. People now are required to work as a team, and altogether help each other to achieve an objective. Your work is my work, and your responsibility is mine. People will become more cohesive as working in a group or a team. Team-based incentives offer several advantages. However, I do not totally agree with Harrington that individual incentive systems do not have any good influence over workers performance. Some people are extremely successful when they work on their own. People, who are raised in an individualistic culture, might not benefit from working in a group. So, individual incentive systems do play an important role in increasing a work forces productivity as long as the employers know how to use this reinforcement system properly. If organizations set a standard to measure individual achievement and reward that individual on what he (she) perform, then, the individual incentive system might work as well as the team-based one. Moreover, managers need to realize that team-based incentive systems might cause Social Loafing effect in the work force the tendency for individuals to expend less effort when working collectively than when working individually (Robbins, 260). Motivations are necessary in a working environment to increase the productivity of the work force. Reward systems must create a win-win situation for employees and employers. Team-based incentive systems might work very well and are a preferred process for many organizations in todays work market; however, managers should adopt individual incentive systems in many cases, when employees are more skillful, efficient, and effective as working individually. The major purpose of the incentive system is to motivate and organize employees.

Model For Data Mining Project Samples †MyAssignmenthelp.com

Question: Discuss about the Model For Data Mining Project. Answer: Introduction: One of the significant elements that should be searched for in a data mining application is to determine the reason for which the study is implemented. Data mining is utilized for proliferation of novel forms of knowledge from the existing business knowledge. The existing process model for data mining is reliant on the use of CRISP-DM reference model and the life cycle of the data mining project involves the distinct phases involved in the project, the relevant tasks involved in the phases and the interrelationship between the different tasks. Relationships among the different tasks in a data mining project are profoundly dependent on the goals as well the background of the data mining project and the significance of the data to the user (Bhattacharyya, 2015). From the perspective of a data mining consultant, the illustration of this report could provide credible insights for the AIH in determination of problem areas that could result in failure of its initiative known as, We can pay you to study now. The foremost process involved in the data mining process is business understanding which emphasizes on comprehending the project objectives and the requirements from the perspective of a business. Business understanding could also be apprehended as the comprehension of the business about its background and objectives (Fleisher Bensoussan, 2015). The business understanding process is also associated with translation of information related to project objectives and requirements into the definition of a data mining problem. The data understanding process follows the business understanding process which involves collection of initial data present in the existing database of the institution. Data understanding provides insights into the data and the quality issues that could be identified in the student information. The data preparation tasks are required to be performed multiple times involving the transformation of the existing data into a new format. The following stage of the business understanding refers to modelling which could be realized in the case of AIH through establishing specific parameters according to optimal values. Evaluation stage in the business understanding could be associated with the review of the models capacity to address business objectives of AIH (Foorthuis Brinkkemper, 2015). The results obtained from the data mining model should be reviewed in terms of their application in context of the business objectives. The final stage of business understanding would involve deployment which refers to the organization of the data and representing in a feasible manner to the institution. The deployment stage should be executed by the institute as they have to define approaches that could help them in aligning the data mining model for accomplishing business objectives (Gandhi Armstrong, 2016). The concerned case of initiative followed by AIH would involve the final outcome in the form of a report presented to the top management by data mining analyst. The report would comprise of the recommendations for the top management to adopt a repetitive data mining process in order to ensure sustainable operations of the We can pay you to study now initiative. The different processes of business understanding include determining business objectives, assessment of situation, establishing data mining objectives and presenting a project plan. In order to devise a data mining project for the initiative of AIH to provide financial assistance to students undertaking degree courses in the institution, the institute should consider it as a technological advantage that could ensure feasibility of the initiative (Jenkins Williamson, 2015). Business objectives: The data mining process must initiate with an interpretation of the background for the project. In this case, the background of the data mining process is vested in the novel initiative of AIH College to provide financial help to the students without depending on financial support from the government. The institution intends to devise new financial programs with existing financial institutions. Therefore, AIH has devised a set of objectives which must be reviewed in the initial stages of the business understanding process (Jain Srivastava, 2013). The perception of the business objectives involves determination of problem area, describing the primary objective of AIH and the success criteria that determine the extent to which the project would ensure successful outcomes from the perspective of the client. The problem areas which could be observed in the case of AIH could be observed in business development and marketing. The problem could be described generally in terms of the impact of the uncertainties and risks pertaining to financial aspects. The organization does not have an existing data mining framework to acquire information related to students and potential market research that could provide insights into the feasibility of the initiative (Khan et al., 2014). The primary motivation for the project could also be characterized as a prerequisite for the project and can be observed in encouraging higher enrolments in the various courses and degrees provided at AIH. The target group that must be identified for the project result include the management of AIH and the financial institutions with which the college intends to develop the new financial programs. The expectations of the users from the project include references to the information related to market demographics and student information. The market demographics data mining would provide the institution with a clear impression of the specific market segments in which the institute has acquire substantial enrolments (Larose, 2014). The data mining of student information would also provide an illustration of the performance of students and observe the degrees or courses in which the college has acquired higher enrolments thereby providing an interpretation of the marketing potential of different courses provided by the institute. The business objectives that could be perceived from the perspective of the client refer to improving student enrolment; provide financial assistance for students to ensure their academic fees and living expenses (Witten et al., 2016). The primary business objective could be identified in improving student enrolments which would promote its marketing potential. The secondary objectives could be identified in provision of financial aid to students for their living and study. AIH intends to facilitate a new opportunity to students for higher academic involvement through the provision of financial assistance. The financial aid provided to students would also ensure their minimal involvement in jobs during academic semesters thereby indicating the explicit improvement of academic performance. The success criteria that could be presented in context of the data mining project from the business perspective would be in the increased student enrolments and financial performance of the institution. The specific business success criteria that could be identified for AIH include the improvement of enrolment rate by 30% which is subject to evaluation by the top management of the institution. The financial performance of the business could also be assumed as a specific business criteria which can be identified by the extent to which loss in terms of interest on the capital provided to students is offset by improvement in the marketing image of AIH as well as enrolments (Zhao, 2015). Assess situation: Inventory of resources: The resources available to the data mining project for AIH could be identified in terms of the computing resources, software, personnel and data which have to be illustrated explicitly in context of this report. The inventory of resources would imply references to the personnel such as data mining personnel that would be involved in the process of data mining for AIH. The data aspect of resources in context of this project includes references to the access to operational data related to student enrolments and the revenue earned l enrolments (Foorthuis Brinkkemper, 2015). The computing resources that are available in context of the existing situation would be observed in terms of the hardware resources in the institution for maintaining database of student information. Sources of data and knowledge: The data sources that could be identified in context of the data mining project involve written documentation and the information stored in the institutional database. The knowledge sources for implementing the data mining project would also be observed in the availability of tools and techniques as well as background knowledge pertaining to the intended initiative of AIH to provide financial assistance to students. The type of data source in the case of AIH is written documentation which can be identified in the paperwork completed by students during enrolment. The market information related to AIH could also be accounted as another data source. The online sources pertaining to the data mining process could also be accounted as a valid knowledge source. The information related to successful examples of implementation of data mining could also be accounted as viable knowledge sources (Gandhi Armstrong, 2016). The tools and techniques that could be implemented in context of AIH for acquiring data involve market research reports and demographic analysis. Information in context of the accounts of AIH could also be considered as credible type of data source that can be implemented in the data mining process. The formal description of the background would involve references to the availability of information related to standard models of data mining through the secondary information. Requirements, assumptions and constraints: The project would be executed over the course of a week which could be used to describe the schedule of completion. The individual stages of the business understanding in data mining have to be understood distinctly in order to allocate the time required for completion. The schedule of the project can be presented in the form of a chart as follows. Stage of the project Day1 Day 2 Day 3 Day 4 Day 5 Day 6 Day 7 Business understanding Data understanding Data preparation Modelling Evaluation Deployment The quality of the results and the interpretation of their application in context of AIH could be based on the assumptions made regarding data. The existing data available for the project in terms of student information could be assumed as sources which have not been updated. Data obtained from the online sources pertaining to the basics of data mining and the examples of successful cases of data mining projects as well as standard data mining packages could be accounted as checkable assumptions that could be reviewed during the process of data mining on the basis of data quality (Jain Srivastava, 2013). The business related assumptions could be observed in the intended outcomes from the project such as improvement of the marketing image of AIH which could be possible through the initiative. This can be considered as a non-checkable assumption since the initiative for providing financial assistance to students could be related to the marketing potential of the institution. The constraints which are involved in case of AIH include the lack of resources for implementing the project alongside the minimal timeframe allocated for completion of the project (Gandhi Armstrong, 2016). The prominent constraints are observed in the data understanding process which was subject to issues related to perception of quality of the data. The ethical constraints established in context of the data mining project are observed in the lack of access to information related to personal background of students. The legal constraints involved in the project could be observed in the form of limitations on the information sharing privileges of the institute with the involved financial organizations. The risks that could be identified in context of the project could be classified into different categories such as business risks, financial risks, technical risks and organizational risks. The business risks posed for the project involve the possibilities of irrelevance of the data mining outcomes for the objectives of AIH. Therefore the contingency plan that could be presented to address this risk would be vested in selected of optimal parameters for data organization. The organizational risk that can be observed in context of this case study refers to probabilities of resistance from institution management on the basis of ambiguities related to funding for the additional project (Bhattacharyya, 2015). The contingency plan for the organizational risk refers to communication of data mining as a source of competitive advantage to the management and informing them about the test outcomes of data mining in AIH. The data risks are also identified in context of lesser quality which can be addressed through research and reorganization of the data. Data mining goals: The data mining goals could be described in the form of expected outputs from the project which affect the business objectives. The data mining goals refer to the identification of the share of individuals that have a degree in a specific population and the success degree of students in AIH. The success of students in academic performance at AIH could be integrated as a viable data to identify the institutions ability to project its marketing image. The demographic classification of students could also be accounted as a data mining goal in context of this project. This objective would be helpful for AIH to determine the market segments belonging to lower income class thereby acquiring an interpretation of the potential market for AIH. References Bhattacharyya, S.C., 2015. Mini-grid based electrification in Bangladesh: Technical configuration and business analysis. Renewable Energy, 75, pp.745-761. Fleisher, C.S. and Bensoussan, B.E., 2015. Business and competitive analysis: effective application of new and classic methods. FT Press. Foorthuis, R. and Brinkkemper, S., 2015. Best practices for business and systems analysis in projects conforming to enterprise architecture. Enterprise Modelling and Information Systems Architectures, 3(1), pp.36-47. Gandhi, N. and Armstrong, L., 2016, March. Applying data mining techniques to predict yield of rice in Humid Subtropical Climatic Zone of India. In Computing for Sustainable Global Development (INDIACom), 2016 3rd International Conference on (pp. 1901-1906). IEEE. Jenkins, W. and Williamson, D., 2015. Strategic management and business analysis. Routledge. Jain, N. and Srivastava, V., 2013. Data mining techniques: a survey paper. IJRET: International Journal of Research in Engineering and Technology, 2(11), pp.2319-1163. Khan, M.M.H., Le, H.K., Ahmadi, H., Abdelzaher, T.F. and Han, J., 2014. Troubleshooting interactive complexity bugs in wireless sensor networks using data mining techniques. ACM Transactions on Sensor Networks (TOSN), 10(2), p.31. Larose, D.T., 2014. Discovering knowledge in data: an introduction to data mining. John Wiley Sons. Witten, I.H., Frank, E., Hall, M.A. and Pal, C.J., 2016. Data Mining: Practical machine learning tools and techniques. Morgan Kaufmann. Zhao, Y., 2015. Data mining techniques.

What Makes a Story About an Hour Essay Sample Good?

What Makes a Story About an Hour Essay Sample Good?Why does writing a story about an hour essay sample in one's book or theses comprise a great topic? Well, it is very common in academic papers for the students to include the same into their book or thesis, as it is quite funny. For the student, the greatest advantage of such writing is that there is no revision involved, because the student can enjoy writing about something they like, no matter how not-funny it is. And it is also much easier to keep from repeating the same material over.When you write a story, you have to focus on being able to go to the point. If you are stuck for words to express your thoughts, try using a simile or metaphor, instead of just going right to your conclusion. But, be sure to keep your story short, so you don't overdo it. Don't make it longer than one hundred words.The power of storytelling lies in the fact that students can end the story as they want to. You can do this by making your story into an e xercise, which can be done as an assignment in the student's college paper or thesis. Students will be more willing to write this kind of short story if it's part of their required activities in school.Writing a story about an hour essay sample is the perfect way to use your imagination to come up with new ways to approach the subject. Here, you can go over your writing in a novel level and still be able to make it interesting.A time essay sample is usually presented to students at the beginning of their thesis or college paper. It is used to show them the benefits of a certain curriculum, but it can also help students write a conclusion based on the points that they've been making throughout the work. This is the kind of essay that students will need in order to get to the point. It's not required in the student's college paper, but it can definitely help in that particular area.Making a story out of an hour essay sample is actually a good idea in your college paper. As well as hel ping you to get to the point, it also helps to help you in convincing your readers of the points that you're trying to make. This way, they'll be eager to read your essay, and they'll be ready to trust you when it comes to making conclusions about their work.And of course, just writing a story without really giving it any substance is also a very bad idea. Instead, it's better to give them a rough draft of the story, so that they can change it according to what they think is needed. This way, you can ensure that you don't end up with something that will be boring for your readers. Also, you can also use a story in order to get them to give feedback to your thesis.

Logophile Definition, Etymology, and Use

Logophile Definition, Etymology, and Use A logophile is a lover of words. Also called a  word lover or philologos.  A related term is logomaniac, defined by the Oxford English Dictionary as a person who is obsessively interested in words. EtymologyFrom the Greek, word love Examples and Observations I am a lifelong logophile if not an out-and-out verbivore. I have a good ear and a good memory for words, its just a kind of tic or trick, the way some lucky people can play a song by ear after hearing it once or count cards at blackjack or spot four-leaf clovers. Unusual and specialized words tend to lodge in my mind, where they hang around, often for years, until I need them. American English has an astonishingly rich vocabulary and we typically use so little of it; I think thats a shame, or maybe it would be better to say I think of it as an invitation.I write with two dictionaries right at my elbow . . .. I look forward to visiting my dictionaries anew every time I sit down to write. The same goes for when Im reading and I come across an unknown word: Quaternions? Yahoo! I get to go to the dictionary!I know thats probably kind of freakish. I guess I am counting on the readership of freaks.(Michael Chabon, Questions for Michael Chabon. The New York Times, Feb. 8, 2007)I am a medic al logophile, and in using words, I will often go to the Greek or Latin roots; doing so helps me use words more precisely.(Robert B. Taylor, Medical Writing: A Guide for Clinicians, Educators, and Researchers, 2nd ed. Springer, 2011) Vocabulary Building[The] suspicion of new words, a distaste of verbal novelty, is acquired in school from dreary English teachers still in thrall to Hemingwayesque simplicities. You know their chief cliche from your own school days: always use the simple word, class! Never seek out a synonym or exotic foreign term. Thank goodness I had a father who taught the very opposite: always discover the rarest yet still correct word. By doing that, a young student accomplishes two things. You expand your vocabulary and you flummox ordained pedagogical authority, namely the dull teacher.(  Bill Casselman,  Where a Dobdob Meets a Dikdik: A Word Lovers Guide to the Weirdest, Wackiest, and Wonkiest Lexical Gems. Adams Media, 2010)The Sweetest-Sounding Words in English (1950)While most of the words that [columnist Frank] Colby discusses are suggested by his readers, Colby turned the tables in 1942 by asking them: What are the most euphonious English words? The top ten by popular vote: mother, m emory, Cellophane, bellboy, melancholy, belladonna, flamingo, wilderness, tambourine, lavender. Last week Logophile Colby reported the results of a new readers poll. Mother had slipped a bit, but was still listed among the top ten. There were eight new favorites. The 1950 hit parade: melody, lullaby, mimosa, memory, mellow, mother, moonbeam, murmuring, beautiful, lanolin.(The Press: Mimosa, Moonbeams Memory. Time magazine, Jan. 30, 1950) Creating KingdomsA love of words comes from the work of playing around with language. We learn words by hearing them, rolling them around on our tongues and in our minds like a small child does as she learns language. A person who loves language plays with ithears words and links them with other sounds, other meanings, and other words. The patterns and sounds of language are fascinating to the lover of words. From these connections, many poets find poems. Poetry comes as Harry Behn writes (1968) from falling in love with language. Rebecca Kai Dotlich says in A Kingdom of Words, that a word may seem to be just a word, but a poet can create a kingdom around it.(Barbara Chatton, Using Poetry Across the Curriculum: Learning to Love Language. Greenwood, 2010) Also Known As: word lover, philologos

Short and Quick Activities for the ESL Classroom

Short and Quick Activities for the ESL Classroom All teachers are probably familiar with this situation: Its five minutes before your next class is going to begin and you really dont know what to do. Or maybe this situation is familiar; youve finished your lesson and there are still ten minutes left to go. These short, helpful activities can be used in those situations when you could use a good idea to help get the class started, or fill those inevitable gaps. 3 Favorite Short Classroom Activities My Friend...? I like to draw a picture of a man or a woman on the board. This usually gets a few laughs as my drawing skills leave quite a lot to be desired. Anyway, the point of this exercise is that you ask students questions about this mystery person. Begin with: What is his / her name? and go from there. The only rule that applies is that students have to pay attention to what other students say so that they can give reasonable answers based on what other students have said. This is a great little exercise to review tenses. The crazier the story becomes the better, and more communicative, the activity is for the students. Short Topic Writing The idea of this exercise is to get students to quickly write about a topic they choose (or you assign). These short presentations are then used in two manners; to generate spontaneous conversations on a wide range of topics, and to take a look at some common writing problems. Use the following subjects and ask students to write a paragraph or two about a subject they choose, give them about five to ten minutes to write: The best thing to happen to me todayThe worst thing to happen to me todaySomething funny that happened to me this weekWhat I really hate!What I really like!My favorite thingA surprise I hadA landscapeA buildingA monumentA museumA memory from childhoodMy best friendMy boss Music Description Choose a short piece or excerpt of music you like (I prefer something by the French composers Ravel or Debussy) and tell the students to relax and listen to the music. Tell them to let their imaginations run free. After you have listened to the piece twice, ask them to describe what they were thinking about or what they imagined while they were listening to the music. Ask them why they had those particular thoughts.

Response Assignment Example | Topics and Well Written Essays - 500 words - 3

Response - Assignment Example ial component of the educational system and the way their responsibilities and training have changed over the decades makes them an active participant in the evolving educational system of the present and future. The school principal is the architect of a students educational life. He is the person who dictates what subjects are to be taught and how. He holds in his hands, the power to educate or dumb down his students. The Wallace Report has proven that principals have slowly come to embrace the fact that just because they are administrators, that does not mean they are no longer educators. Thanks to their continuous training programs, the students of the future will continue to benefit from the skills of principals who concentrate more on the educational welfare of their students rather than the financial bottom line of the school districts. Overall, I learned a lot from this study about how a principal should perform his job as an administrator. As such, my first order of business is to ensure the quality of education and teaching that the children in my school receive. I have to work towards the end result of having no child left behind in the educational system before making sure that my school is running within its budget and other requirements of the school district. The Wallace Foundation published a book or rather, the results of their decade long research into what makes for an effective learning environment in schools. With the publication of â€Å" The School Principal as Leader: Guiding Schools to Better Teaching and learning, they try to answer key questions that are relevant to the quality of education that our students receive. Their data came back as clear as daylight. The school principal is the most important person within the existing school system. The weight of the quality of education delivered by a school is reliant upon his effective administrative and educator skills. Every parent has a vision of what the perfect school system should be

The Business Plan - Moon Internet Caf Case Study

The Business Plan - Moon Internet Caf - Case Study Example Moon Internet Cafe will provide an area that appeals to people from many different age groups and backgrounds. It provides a good environment for people to familiarize themselves with computers, to interact socially as well as for business needs. People are becoming more mobile, and as they move their technology moves with them. There are many different types of electronic devices that are popular, such as laptops, iPads and cellular phones. Business is also becoming more mobile, with many people interviewing potential staff members, or meeting with clients in public areas such as coffee shops. For many of these meetings, laptops are heavily used, and consequently facilities that facilitate this type of meeting are in high demand. There are a large number of coffee shops and cafes throughout the market, both individual stores and large franchises such as Starbucks. Suppliers for this venture take two forms, as the business looks to combine two different areas.