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W. Newton Suter argues that what is important in a changing education landscape is the ability to think clearly about research methods, reason through complex problems and evaluate published research. He explains how to evaluate data and establish its relevance.
Experiential education is a philosophy and methodology for building knowledge, developing skills, and clarifying values by engaging learners in direct experience and focused reflection. To understand experiential education, what should one be reading? This sourcebook introduces philosophers, educators, and other practitioners whose work is relevant to anyone seeking answers to this question. Following brief snapshots of John Dewey and Kurt Hahn, the book is organized in four sections: Philosophers and Educational Theorists Nature Educators and Outdoor Educators Psychologists and Sociologists School and Program Founders. Each chapter focuses on an individual whose philosophy and practice exemplify a biographical and historical model for reaching a deeper understanding of experiential education. An appendix includes short biographical sketches of forty-five additional people whose contributions to experiential education deserve a closer look. This volume provides a much-needed overview and foundations for the field – for students in courses addressing experiential education, challenge education, outdoor experiential education, recreation education, and related fields; for learning theorists and curriculum specialists; for experiential educators; and for educational philosophers.
Reprint of the original, first published in 1843.
An overview of experimental methods providing practical advice to students seeking guidance with their experimental work.
We shall examine the validity of 16 experimental designs against 12 common threats to valid inference. By experiment we refer to that portion of research in which variables are manipulated and their effects upon other variables observed. It is well to distinguish the particular role of this chapter. It is not a chapter on experimental design in the Fisher (1925, 1935) tradition, in which an experimenter having complete mastery can schedule treatments and measurements for optimal statistical efficiency, with complexity of design emerging only from that goal of efficiency. Insofar as the designs discussed in the present chapter become complex, it is because of the intransigency of the environment: because, that is, of the experimenter’s lack of complete control.
Statistics is a key characteristic that assists a wide variety of professions including business, government, and factual sciences. Companies need data calculation to make informed decisions that help maintain their relevance. Design of experiments (DOE) is a set of active techniques that provides a more efficient approach for industries to test their processes and form effective conclusions. Experimental design can be implemented into multiple professions, and it is a necessity to promote applicable research on this up-and-coming method. Design of Experiments for Chemical, Pharmaceutical, Food, and Industrial Applications is a pivotal reference source that seeks to increase the use of design of experiments to optimize and improve analytical methods and productive processes in order to use less resources and time. While highlighting topics such as multivariate methods, factorial experiments, and pharmaceutical research, this publication is ideally designed for industrial designers, research scientists, chemical engineers, managers, academicians, and students seeking current research on advanced and multivariate statistics.