Motivation Clause Examples

Motivation. How important were each of the following possible reasons in your decision to go to university? Not important Somewhat important Important Very important motiv1 To prepare for a specific job or career ☐ ☐ ☐ ☐ motiv2 To satisfy my intellectual curiosity ☐ ☐ ☐ ☐ motiv3 To earn more money than if I didn’t go ☐ ☐ ☐ ☐ motiv4 To get a broad education ☐ ☐ ☐ ☐ motiv5 I am more likely to get a job with a degree ☐ ☐ ☐ ☐ motiv6 The satisfaction of doing challenging academic work ☐ ☐ ☐ ☐ motiv7 To apply what I will learn to make a positive difference in society or my community ☐ ☐ ☐ ☐ motiv8 I didn’t have anything better to do ☐ ☐ ☐ ☐ motiv9 To get a more fulfilling job than I probably would if I didn’t go ☐ ☐ ☐ ☐ motiv10 To meet my family’s expectations ☐ ☐ ☐ ☐ motiv11 Learning new things is exciting ☐ ☐ ☐ ☐ motiv12 Most of my friends are going ☐ ☐ ☐ ☐ motiv13 To meet new people ☐ ☐ ☐ ☐ motiv14 The chance to participate in varsity athletics ☐ ☐ ☐ ☐ motiv15 To explore whether university is right for me ☐ ☐ ☐ ☐ motiv16 Other reason (please specify below): ☐ ☐ ☐ ☐ motivtxt motivtop Which one was the most important to you? How many universities besides <university name> did you apply to? app1 in Canada: app2 in other countries: app3 Did you apply to a college or CEGEP? Yes ☐ No ☐ app4 Is <university name> your first choice? Yes ☐ No ☐ [If app4 = “No” branch to apptxt, otherwise branch to the Selection section.] Apptxt What was your first choice university? How important were each of the following in your decision to choose <university name>? Not important Somewhat important Important Very important sel1 I wanted to live close to home ☐ ☐ ☐ ☐ sel2 I wanted to live away from home ☐ ☐ ☐ ☐ sel3 It offered a place in residence ☐ ☐ ☐ ☐ sel4 Cost of university residence ☐ ☐ ☐ ☐ sel5 Cost of tuition and fees ☐ ☐ ☐ ☐ sel6 It has the program I want to take ☐ ☐ ☐ ☐ sel7 The program I want has a co-op, practicum or other work experience ☐ ☐ ☐ ☐ sel8 The program I want offers study/work experience abroad ☐ ☐ ☐ ☐ sel9 The academic reputation of the university ☐ ☐ ☐ ☐ sel10 It has a good reputation for campus life ☐ ☐ ☐ ☐ sel11 It offered a scholarship ☐ ☐ ☐ ☐ sel12 It offered other financial assistance ☐ ☐ ☐ ☐ sel13 The size of the university suits me ☐ ☐ ☐ ☐ sel14 The city/town it’s in ☐ ☐ ☐ ☐ sel15 Availability of public transportation ☐ ☐ ☐ ☐ sel16 It’s where my friends are going ☐ ☐ ☐ ☐ sel17 It’s where my family wanted me to go ☐ ☐ ☐ ☐ sel18 The chance to participate in varsity a...

Motivation. What motivated you to establish this fund? (Select all that apply) ☐ Involve multiple generations in giving ☐ Simplify my annual charitable giving ☐ Benefit the community ☐ Learn about and support an issue or community ☐ Reduce tax burden ☐ Other:

Motivation. Why is this Project Important?

Motivation. The one-way authentication schemes, and the high computational and communicational costs can raise concern in two-way smart energy communications. Moreover, in the SEN communication, the integrity of messages is equally important as other security properties, since message integrity provides assurance that the messages are not been altered/forged in transit (or from the origin), as suggested by the National Institute Standards Technology (NIST) [27]. A loss of integrity may cause destruction of information and may lead to incorrect decision in smart energy network. However, the most of recently proposed schemes (e.g., [17], [19], [20], [21]), are vulnerable where an attacker can violate message

Motivation. Lacks initiative; performs only as directed. 🞏 Rarely shows initiative. 🞏 Occasionally initiates action. 🞏 Frequently shows initiative. 🞏 Exceptionally ambitious and a self-starter. 🞏

Motivation. People seek to satisfy various information needs that involve acquiring knowledge and/or making decisions, such as learning about world affairs from reading news articles, understanding their medical problems and possible treatments, or training for a job. Invariably, retrieval systems fall short of the best possible outcome, or even user expectations. The user may have had to expend more effort than ideally needed, or ended up with information that is inaccurate, biased, or lacking utility. In order to successfully accomplish such knowledge-seeking and decision-making tasks, users often need more support than that currently offered by information systems. This support needs to be offered at different stages in the information seeking process, starting even before an information need is expressed: a search system should be aware of the context of the user in which the information need is to be placed and of the user’s existing skills and knowledge. If a more complex task is to be accomplished (such as gathering different forms of evidence for a decision involving multiple constraints or aspects), the system may help by scaffolding the task at every step, as needed by the user. The system needs to be aware of biases of the user and/or the search results and take those into account when presenting these results to end up with the best possible outcome. Similarly, the user should be made more aware of the broader context in which the returned information exists. Ideally, a system should also be aware of and be able to competently deal with distractions or lack of motivation of the user. While these demands on a retrieval system in a sense have always existed, it is more pertinent than ever that these are incorporated in the information retrieval process. Technology is much better suited now to help fulfill these requirements on the one hand, and on the other, there is greater scope for the user to end up more misinformed after a search than before. To give an example, search systems (and related algorithms, such as ranking algorithms employed by social media systems) contributed to large amount of misinformation during the 2016 presidential election cycle in US politics. Finally, as learning is supplemented more and more with online technology, improved methods for getting students the right information for their learning goals could help increase student engagement, curiosity, and retention, as well as, in the longer-term, enable better knowledge transfer to...

Motivation. For over two decades, IR systems have influenced the way people around the world work, communicate, learn, and even how they live. Search engines have eased the way we access information. Recommender systems have changed the way we select what products and services we buy and consume. Social networks have changed how we keep in touch with family, friends, and acquaintances. Personal and conversational assistants are increasingly supporting us in our day-by-day tasks through reminders or contextual interventions such as heads-ups about traffic or weather. In essence, IR systems aim to empower individuals through access to information. However, do these systems always deliver positive outcomes to individuals, society, politics, the economy, and the environment? Information scientists with researchers from other disciplines should study the long-term and large-scale impacts of IR systems and technologies. Previous research indicates some of the areas that IR technologies impact, including: • Human cognitive processes. Psychologists have been studying and raised concerns about the effect that easy access to via search engines might be having on, e.g., how people think and what people remember. • Individuals from minority communities. Xxxxxxx Xxxxxxx showed that querying by names predominantly used by black Americans is more likely to return results associated to arrest records than when querying by names predominantly used by white Americans. How many people might have been denied employment as a result? Similarly, search results for images of doctors or engineers are typically dominated by pictures of white men. How many girls of color might have been discouraged to pursue interests in these fields? • Social Communities. Given the political climate around the world, many have raised concerns about the potential of highly personalized consumption of information and the filter bubbles that current IR systems can create, to drive increased polarization along social and political lines within and across local and regional communities. • Businesses. Search platforms have disrupted the news media ecosystem through digital ads and targeting, being able to tailor content to each of their user interests, viewpoints, and beliefs. But, what are the costs of, for instance, accessing newsworthy information without the traditional journalistic curation? • Environment. Providing the energy required to run the data centres that support large- scale search engines can be at a...

Motivation. Government institutions make planning, policy, and decision making as reg- ular activities. Information technology constributes greatly to these activi- ties, introducing in the last decade new application and paradigms such as e-Government, e-Commerce, and e-Education. Increasingly, e-government decision making needs gathering information from many sources or depart- ments. Decisions can be carried out at many government levels including national, province, district and sub-district. Each level has di erent needs in sources, types, and detail of information. For example, a district gov- ernment may need information about the length and condition of road for budget planning and maintenance, while a province may use tra c density information for economic activity evaluation. A national government level requires road classi cation types, which can be pay road, toll road, highway, etc, for tax calculation. Moreover, decision made at one level can be based on information de xxx at the other levels. Interoperability and mediation approach are needed to allow information sharing among the levels. In many applications, data have high correlation with geographic infor- mation. With the rapid development in GIS, more and more geographical database have been developed by di erent programs and applications. Un- fortunately, data sharing and acquisition still are big challenges for the de- velopment of GIS applications. There is a large amount of geographical data stored in di erent places and in di erent formats. However, data reuse by new applications and data sharing are hindered by the heterogeneity among existing system, heterogeneity data modeling concepts, data encoding tech- niques and storage structures, etc [14] This situation is even worse in large developing countries like Indonesia where large amount of spatial data are stored in various paper and digital formats. For example, to develop a deci- sion making system for land transportation the Indonesian government must consider information from departments such as the Ministry of Internal Af- fair, the Police Department, and the Ministry of Public Work. Indonesia is composed of 13,000 islands among which the population is not equally distributed. As a result economic, social, and transport activities are very diverse. The other problems of land transportation, are related to ood- ing disaster during rain session, and very high movement of people in short period time such as New Year. Internet allows e cien...

Motivation. People are producing and consuming more and more information. That information is stored in a multitude of places (cloud, computer, phone) and in a multitude of formats (e.g. mail, docs, slack, twitter, Facebook, apps, web searches, fitbits, sense cams, etc.). Without an integrated personal IR service, users must resort to multiple interactions over their own data. This is a time consuming process and prone to error. The time spent wading through and trying to find information in personal repositories results in wasted time, and in frustration. In spite of these evident shortcomings of current information technologies, little support exists to help people find, re-find, manage, organize, and share their personal information.