Hypothesis-Experiment (Kasetsu) Class is, in its simplest terms, a class designed so that students can learn 'basic, universal scientific rules and concepts' in an enjoyable way. This method was made by Dr. Kiyonobu Itakura. The first part of this book presents the philosophy behind Kasetsu Hypothesis-Experiment classes and Classbooks (Jugyosho). The second part includes English versions of four of the HEC Classbooks. Teachers are encouraged to find ways of allowing students' own curiosity and thinking to guide their discovery of scientific ideas.
Providing both a theoretical understanding of research issues and a nuts-and-bolts guide, this book presents the critical issues in psychological research in a clear and easy-to-read manner. Presented within the critical context of validity and reliability the author addresses all the steps of the research process: from formulating a hypothesis, to specifying variables, to creating a research design, to collecting and analyzing data, to drawing conclusions, to reporting the results. A companion website (www.sagepub.com//cherulnik) for professors and students contains additional supporting materials.
Examining the major approaches to hypothesis testing and model selection, this book blends statistical theory with recommendations for practice, illustrated with real-world social science examples. It systematically compares classical (frequentist) and Bayesian approaches, showing how they are applied, exploring ways to reconcile the differences between them, and evaluating key controversies and criticisms. The book also addresses the role of hypothesis testing in the evaluation of theories, the relationship between hypothesis tests and confidence intervals, and the role of prior knowledge in Bayesian estimation and Bayesian hypothesis testing. Two easily calculated alternatives to standard hypothesis tests are discussed in depth: the Akaike information criterion (AIC) and Bayesian information criterion (BIC). The companion website ([ital]www.guilford.com/weakliem-materials[/ital]) supplies data and syntax files for the book's examples.
Throughout history, arguments for and against the existence of God have been largely confined to philosophy and theology, while science has sat on the sidelines. Despite the fact that science has revolutionized every aspect of human life and greatly clarified our understanding of the world, somehow the notion has arisen that it has nothing to say about the possibility of a supreme being, which much of humanity worships as the source of all reality. This book contends that, if God exists, some evidence for this existence should be detectable by scientific means, especially considering the central role that God is alleged to play in the operation of the universe and the lives of humans. Treating the traditional God concept, as conventionally presented in the Judeo-Christian and Islamic traditions, like any other scientific hypothesis, physicist Stenger examines all of the claims made for God's existence. He considers the latest Intelligent Design arguments as evidence of God's influence in biology. He looks at human behavior for evidence of immaterial souls and the possible effects of prayer. He discusses the findings of physics and astronomy in weighing the suggestions that the universe is the work of a creator and that humans are God's special creation. After evaluating all the scientific evidence, Stenger concludes that beyond a reasonable doubt the universe and life appear exactly as we might expect if there were no God. This paperback edition of the New York Times bestselling hardcover edition contains a new foreword by Christopher Hitchens and a postscript by the author in which he responds to reviewers' criticisms of the original edition.
UX design has traditionally been deliverables-based. Wireframes, site maps, flow diagrams, content inventories, taxonomies, mockups helped define the practice in its infancy.Over time, however, this deliverables-heavy process has put UX designers in the deliverables business. Many are now measured and compensated for the depth and breadth of their deliverables instead of the quality and success of the experiences they design. Designers have become documentation subject matter experts, known for the quality of the documents they create instead of the end-state experiences being designed and developed.So what's to be done? This practical book provides a roadmap and set of practices and principles that will help you keep your focus on the the experience back, rather than the deliverables. Get a tactical understanding of how to successfully integrate Lean and UX/Design; Find new material on business modeling and outcomes to help teams work more strategically; Delve into the new chapter on experiment design and Take advantage of updated examples and case studies.
Explanation-Based Learning (EBL) can generally be viewed as substituting background knowledge for the large training set of exemplars needed by conventional or empirical machine learning systems. The background knowledge is used automatically to construct an explanation of a few training exemplars. The learned concept is generalized directly from this explanation. The first EBL systems of the modern era were Mitchell's LEX2, Silver's LP, and De Jong's KIDNAP natural language system. Two of these systems, Mitchell's and De Jong's, have led to extensive follow-up research in EBL. This book outlines the significant steps in EBL research of the Illinois group under De Jong. This volume describes theoretical research and computer systems that use a broad range of formalisms: schemas, production systems, qualitative reasoning models, non-monotonic logic, situation calculus, and some home-grown ad hoc representations. This has been done consciously to avoid sacrificing the ultimate research significance in favor of the expediency of any particular formalism. The ultimate goal, of course, is to adopt (or devise) the right formalism.
Biology for AP® courses covers the scope and sequence requirements of a typical two-semester Advanced Placement® biology course. The text provides comprehensive coverage of foundational research and core biology concepts through an evolutionary lens. Biology for AP® Courses was designed to meet and exceed the requirements of the College Board’s AP® Biology framework while allowing significant flexibility for instructors. Each section of the book includes an introduction based on the AP® curriculum and includes rich features that engage students in scientific practice and AP® test preparation; it also highlights careers and research opportunities in biological sciences.
