RESEARCH Understanding the Experiences of Adult Learners: Content Analysis of Focus Group Data Jeff Zacharakis‚ Marie Steichen‚ and Gabriela Diaz de Sabates‚ Kansas State University Dianne Glass‚ Kansas Board of Regents ABSTRACT In this qualitative research study‚ we sought to better understand the experiences of adult learners in adult education centers. We conducted eight focus groups with 104 adult education students from 25 adult learning centers. Five groups were made up of English-speaking
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Explain and Summarize Aristotle’s Nichomachean Ethics Introduction Ethics is a branch of philosophy that deals with morals and doing good actions for the good of oneself and others. Ethical dilemmas‚ also known as moral dilemmas can be defined as a situation that arises in the course of one’s practice‚ where one has to make a choice between two options‚ neither of which will adequately resolve the situation in an acceptable professional or ethical manner. Various theoretical principles represent
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Assignment 1: Comparative Advantage Eco 305 – International Economics David Ricardo introduced the law of comparative advantage. This theory proposed that even if one nation is less efficient than the other nation in the production of both commodities; there is still a basis for mutually beneficial trade. This is as long as the absolute disadvantage that the first nation has with respect to the second is not in the same proportion in both commodities
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Trends in Workplace Learning: Supply and Demand in Interesting Times By Laurie Bassi‚ Scott Cheney‚ and Eleesha Lewis The ancient Chinese saying "May you live in interesting times" has perhaps never been more relevant. As the 1990s draw to a close and the new millennium fast approaches‚ life is phenomenally interesting--and demanding. Professionals who are responsible for workplace learning and performance improvement are squarely in the center of the swirl of exciting possibilities--and requirements--that
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DataBig Data and Future of Data-Driven Innovation A. A. C. Sandaruwan Faculty of Information Technology University of Moratuwa chanakasan@gmail.com The section 2 of this paper discuss about real world examples of big data application areas. The section 3 introduces the conceptual aspects of Big Data. The section 4 discuss about future and innovations through big data. Abstract: The promise of data-driven decision-making is now being recognized broadly‚ and there is growing enthusiasm
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departments‚ organizations ’ departments specializing in the management of human assets have evolved through the years to address many issues. Change in labor laws‚ introduction and advancement in technology‚ and the way mankind has evolved has forced many trend changes in human resources management (HRM). In today ’s organizations‚ human resources management has many functions and roles. According to Brannen (2000) human resources management departments include the administrative role of processing benefits
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"Data Compression and Data Processing” Please respond to the following: * Explain whether or not you believe there is a discernible difference in efficiency between compressing and decompressing audio data and compressing and decompressing image data. Provide at least three reasons for your argument. There are efficiency differences between a given compressions for audio or image‚ this is due to: 1. The difference in data‚ example bmp‚ jpg‚ gif of the same image‚ mp3‚ wav‚ ogg for
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Primary Data is Original data‚ this means that it has been collected by you‚ someone who has volunteered to assist you in your research‚ or by someone who is within your employ to gather this research‚ this does not include comparing results with your peers to help evaluate the accuracy of your own results‚ as this type of data has not been gathered by you‚ or have you had any part in the gathering of this information. There are a few ways in which primary data can be obtained‚ which includes surveys
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Censored data & Truncated data Censoring occurs when an observation or a measurement is outside the range and people don’ t know the certain value. The value is always above or below the range that people set. However‚ truncated data means that because of the limits‚ such as time‚ or space‚ people lose some data. Truncation is to cut off the data. In other words‚ we have collected and use the data‚ but the data is not in the range we have. It is called censored data. We don’t use the data because
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university CASE STUDY OF DATA MINING Summitted by Jatin Sharma Roll no -32. Reg. no 10802192 A case study in Data Warehousing and Data mining Using the SAS System. Data Warehouses The drop in price of data storage has given companies willing to make the investment a tremendous resource: Data about their customers
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