Motivation Sample Clauses

Motivation. □ Used positive reinforcements with students; motivated and encouraged students to achieve. □ At times used positive reinforcement with students; inconsistent in encouragement of students. □ Little or no use of positive reinforcement or encouragement to succeed.

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

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.

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. The teacher establishes and encourages a positive learning environment. For example: • Creates a classroom climate that promotes openness to student responses, mutual respect, support, and inquiry. • Provides opportunities for students to interact effectively in groups and to recognize their value to the group. • Encourages students to develop a sense of responsibility, self-discipline and self-worth. • Models tolerance and encourages positive attitudes toward human diversity including economic, ethnic, cultural, and gender diversity. • Shows students the relevance of the subject to life-long learning.

Motivation. IoT is a growing field, also under the “Industry 4.0” label. New devices and technologies are going to hit the market soon. Many funding agencies are devoting a large amount their funds to IoT-related projects. As a community, IR has the potential to address issues that other communities (like machine learning, data mining) will most likely not address: to study users and their needs, to better model specific needs exploiting sensor data, to devise novel and effective interaction modalities with information, and, overall, to apply results from specific IR subareas. The IoT situation is not much different from two previous waves that hit the IR field: the Web and mobile devices. Mobile IR was a successful story in SWIRL 2012. Papers on Location- and Context-awareness for Mobile IR are now being published in IR venues. IoT might well be the next wave after Web and Mobile. Proposal. We foresee three main research directions: