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PERSONALITA', LIBERTA', AMORE - From Intervista con R. I. Evans Paperbacks saggi /145 Newton Compton pag. 107

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Fai della tua passione una professione!

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Conquering the Fear of Failure: Lessons from the Life of

ISBN: , SKU: , AUTHOR: Lutzer, Erwin W., PUBLISHER: Kregel Publications, The fear of failure afflicts us all. It erodes faith, deflates courage, and prevents victorious living. But fear doesn't have to haunt us anymore. In this newly repackaged edition of his popular book, best-selling author and beloved pastor Erwin W. Lutzer offers a healing alternative that releases Christians from attitudes of defeat. Using lessons from the life of Joshua, Lutzer teaches what Christians can do every day to see the promises of God fulfilled in their lives. From learning to listen to the right voice to living with a bad decision, from embracing the power of prayer to overcoming obstacles, this handbook will guide readers through the pitfalls of spiritual growth. "My prayer is that through studying Joshua we all will take one more giant step toward spiritual maturity," writes Lutzer. "In the process we shall discover that God is all-powerful and worthy of our trust." Written in the tone that made Lutzer a best-selling author of more than twenty books, "Conquering the Fear of Failure" shows readers how to focus on God and His promises, not upon circumstances or setbacks, so we may live a faith-filled, victorious life.

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Perl Power!: The Comprehensive Guide

ISBN: , SKU: , AUTHOR: Flynt, John P., PUBLISHER: Course Technology, Perl Power provides programmers with a learning and reference resource on Perl. All readers will find tutorials that utilize a "learn by doing" approach that they can work from as soon as they get the book home. The tutorials build upon each other throughout the book until a level of expertise is reached. All chapters offer complete programs to demonstrate the topics discussed, with source code available on the book's companion website. These programs are ready to run, and line-by-line commentary in the program and in the book allows programmers to understand the logic and syntax behind them. Additionally, each program is introduced in a way that provides a story about what the program does and what you can use the program to do after learning it. The topics covered begin with how to set up the DzSoft Perl Editor so that you can easily work with Perl programs. Then, through dozens of complete programs, the book explores the primary data categories of Perl: scalars, hashes, arrays, and handles. The topics of later chapters range from using references to working with data structures and incorporating data files into your programs. The final chapter comprehensively reviews regular expressions through a multitude of examples.

Teaching and Learning with Bulletin Boards

ISBN: , SKU: , AUTHOR: Berg, Stacy M. / Sweeney, Jean M., PUBLISHER: Good Apple, An entire year's worth of ideas and activities designed to keep students motivated and interested A wide variety of patterns, parent letters, and charts accompany each project. Teachers can choose from bulletin boards that display final projects or those that involve ongoing, incentive-based activities. Topics include math, science, reading, language, music, art, self-awareness, and more.

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Personal Computers for Distance Learning: The Study of an

ISBN: , SKU: , AUTHOR: Jones, Anne / Kirkup, Gill / Jones, Ann, PUBLISHER: Paul Chapman Publishing, I found this book stimulating and easy to read and would encourage anyone who is concerned with distance education to read it' - "Computer Education " Interesting, informative and clearly written. It is a rich source of material on several fronts. Some of its value comes from its broad perspective, some from it being a detailed case' - "Open Praxis " This book is about the convergence of two important streams of educational innovation: distance education and the educational use of personal computers (PCs). During the s and s, distance education became a significant aspect of the post-school educational provision of many countries. Every indication is that this trend will con

Learning to Revolt: The Role of Students in the National

ISBN: , SKU: , AUTHOR: Natsis, James J., PUBLISHER: University Press of America, This historical monograph offers a unique look at the independence movement in Tunisia, during French colonial rule, from a perspective largely neglected by scholars: the voice of the students who were major participants. The experience of Tunisia's students lends to a better comprehension of the relationship between Western education and the inception and development of a nationalist movement. James Natsis takes a sweeping look at student/youth associations and organizations from their beginnings in to independence in . The theoretical framework of this study is based on colonial educational policy and its resulting effects on conflict theory and alienation theory. Natsis also considers the impact of external influences such as Communism and Pan-Arabism.

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Organizational Learning Contracts: New and Traditional

ISBN: , SKU: , AUTHOR: Goodman, Paul S., PUBLISHER: Oxford University Press, USA, The state of higher education today is one of change and stasis. Economic vulnerability, globalization, technological innovation, and an increasingly competitive market underlie the need for change in higher education. At the same time, there are strong and stubborn forces at work supporting the status quo. Though daunting, institutions of higher education can create effective organizational change, but their foundational philosophies must be re-examined in the process. This book addresses a new concept, the organizational learning contract, a shared agreement among the faculty, staff, and students in an educational institution about what, how, where, and when learning should take place. Goodman, who has pioneered the concept in his work with new and traditional institutions, examines the consequences of strong and weak contracts while bridging theory with practice. In the first section, Goodman develops the concept of the organizational learning contract, builds measures, and looks at the consequences of strong versus weak contracts on student and institutional effectiveness indicators. The second section, which includes the perspectives of two leaders of start-up institutions who have created new organizational contracts, explores issues of design and change in introducing the concept into new and existing institutions. Ultimately, Goodman asks: If you could start from the beginning, with appropriate resources, how would you design a new institution? The answers have implications for all colleges and universities, as well as the future of higher education across the globe.

In the Ocean

ISBN: , SKU: , AUTHOR: Learning Horizons, PUBLISHER: Learning Horizons, Our fabulous full-color sticker books are filled with hilarious picture puzzles designed to amuse and challenge. Each spread shows a complete full-page scene on the left, but on the right, the same scene appears with some things missing. Children identify the missing objects and add peel-off stickers to complete the scene.

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Logical Learning Theory: A Human Teleology and Its Empirical

ISBN: , SKU: , AUTHOR: Rychlak, Joseph F., PUBLISHER: University of Nebraska Press, In , B. F. Skinner told Joseph Rychlak that the greatest disappointment resulting from the "cognitive revolution" was the turning of the human organism into a machine. Intrigued by this statement, Rychlak decided that after many years of formulation it was time to present his fundamentally teleological view of the human being, which he calls the "logical learning theory" (LLT). In this new theoretical perspective the author re-presents such concepts as intention, purpose, and free will. Significant aspects of the "mind-body" issue are explored here. Rychlak addresses teleological issues and provides a language for proper conceptualization. He uses experimental findings to support the notion of behavior as self-directed rather than mechanistic. In the process, Rychlak places LLT on the side of teleological explanation, in which concepts like free will, self-choice, purpose and intention are no longer dismissed. Rychlak compares LLT and existing formulations of behavior, including classical and operant conditioning, social learning theory, social constructionism, cognitive science, gestalt theories, and personality theories. Extensive research data and thorough discussions support Rychlak's theory. A glossary is also included.

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The House of the Scorpion

ISBN: , SKU: , AUTHOR: Farmer, Nancy, PUBLISHER: Perfection Learning, MATTEO ALACRaN WAS NOT BORN; HE WAS HARVESTED. His DNA came from El Patron, lord of a country called Opium -- a strip of poppy fields lying between the United States and what was once called Mexico. Matt's first cell split and divided inside a petri dish. Then he was placed in the womb of a cow, where he continued the miraculous journey from embryo to fetus to baby. He is a boy now, but most consider him a monster -- except for El Patron. El Patron loves Matt as he loves himself, because Matt is himself. As Matt struggles to understand his existence, he is threatened by a sinister cast of characters, including El Patron's power-hungry family, and he is surrounded by a dangerous army of bodyguards. Escape is the only chance Matt has to survive. But escape from the Alacran Estate is no guarantee of freedom, because Matt is marked by his difference in ways he doesn't even suspect.

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Machine Learning and Statistics: The Interface

ISBN: , SKU: , AUTHOR: Nakhaeizadeh, Gholamreza / Taylor, C. C. / Nakhaeizadeh, G., PUBLISHER: Wiley-Interscience, The interface between statistics and machine learning (ML) is an increasingly popular research subject, as scientists and statisticians discover useful areas where these disciplines overlap. ML deals primarily with learning rules or structure, and while some books on the subject exist, this volume is the only one to integrate ML with statistics. It explores new areas where theory and methods can be shared and demonstrates the benefits to those working in either discipline. Written by leading experts in both fields, Machine Learning and Statistics is a result of the authors' participation in the European Conference in Machine Learning. This important collection of contributions was adapted from conference workshop material and reworked to address readers of diverse backgrounds and skills. For newcomers to the field, a thorough introduction surveys the various topics and supplies numerous references for further reading. The book's main focus is on classification, the most common area of intersection. The classification process uses information about a new example to assign the example to one of a known number of classes. Such methods typically involve a rule learned from an initial set of data, which is where ML comes into play. Other topics covered include prediction, control, and an introduction to methods of knowledge discovery in databases--a skill that has become especially relevant with the explosion in large-scale databases. Timely, practical, and innovative, this book offers a number of new algorithms and draws on real-world examples including financial and medical applications. It also includes two chapters on loans/credit applications that help identify bad risks and good customers--useful for those working with credit scoring and bad debt analysis. Machine Learning and Statistics is an invaluable resource for researchers involved with artificial intelligence and ML in academia, government, or industry, as well as those working with pattern recognition in statistical departments; for students at the graduate level who seek to expand their horizons; and for anyone who would like to learn more about these cutting-edge methodologies. The first book to explore the theory, methods, and applications of the relationship between machine learning and statistics. Here is the first book to address the growing demand for applications that integrate machine learning and statistics. The only text to focus on the interface between the two disciplines, this volume explores a mutually beneficial relationship that is fast becoming recognized by scientists, engineers, and researchers in data analysis and intelligent systems worldwide. The book shows that machine learning shares several areas of common research with statistics, most notably classification, prediction, and control. It demonstrates that statistical and probability methodologies can be applied in developing different machine learning algorithms and that these algorithms can

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