What Makes Us Moral Worksheet Answers
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Portrait of a Moral Agent Teacher
Teaching morally and teaching morality are understood as mutually dependent processes necessary for providing moral education, or the communication of messages and lessons on what is right, good and virtuous in a student’s character. This comprehensive and contextualized volume offers anecdotes and experiences on how an elementary schoolteacher envisions, enacts, and reflects on the ethical teaching and learning of her students. By employing a personally developed form of moral education that is not defined by any particular philosophical or theoretical orientation, this volume relates that classroom-based moral education can, therefore, be conceived of and promoted as moral agency. Accentuated by the teacher’s voice to offer the experience of being in the classroom, this volume enables others to transfer relevant practices to their own teaching contexts.
Character and Moral Psychology
Philosophers and psychologists have been hard at work trying to unlock the mysteries of our characters. Unfortunately, their answers have been all over the map. According to one position, every single person has all of the moral virtues, such as modesty and compassion, although to varying degrees. Yet according to another position, no one has any character traits at all since they are simply illusions and do not exist. Hence not one person is honest or compassionate or courageous. And between these extremes, there are plenty of intermediate views. Christian B. Miller argues that not one of these leading positions accurately reflects what most of us are like today. He explores the implications of the Mixed Trait framework-a theory of moral character developed in his previous book, Moral Character: An Empirical Theory. Mixed traits have both morally positive aspects (hence they are not vices) along with morally negative aspects (hence they are not virtues). Miller engages with the other leading positions on the empirical nature of character: situationism, the CAPS model, the Big Five model, and the local trait model. He goes on to apply the Mixed Trait framework to several important topics in ethics, especially the development of an error theory about judgments of character and the challenge faced by virtue ethics from the widespread lack of virtue.
Liengme's Guide to Excel 2016 for Scientists and Engineers
Liengme's Guide to Excel 2016 for Scientists and Engineers is a completely updated guide for students, scientists, and engineers who want to use Microsoft Excel 2016 to its full potential, whether you're using a PC or a Mac. Electronic spreadsheet analysis has become part of the everyday work of researchers in all areas of engineering and science. Microsoft Excel, as the industry standard spreadsheet, has a range of scientific functions that can be utilized for the modeling, analysis, and presentation of quantitative data. This text provides a straightforward guide to using these functions of Microsoft Excel, guiding the reader from basic principles through to more complicated areas such as formulae, charts, curve-fitting, equation solving, integration, macros, statistical functions, and presenting quantitative data. - Content written specifically for the requirements of science and engineering students and professionals working with Microsoft Excel, brought fully up to date with Microsoft Office release of Excel 2016. - Features of Excel 2016 are illustrated through a wide variety of examples based on technical contexts, demonstrating the use of the program for analysis and presentation of experimental results. - Where appropriate, demonstrates the differences between the PC and Mac versions of Excel. - Includes many new end-of-chapter problems at varying levels of difficulty.