Download Free Education As Experimentation Book in PDF and EPUB Free Download. You can read online Education As Experimentation and write the review.

Despite the promise of competency-based education (CBE), learner-centered issues related to support, retention, and program completion rates remain problematic. In addition, the infrastructure for higher education, including issues related to faculty (intellectual property, workload, and curriculum), pose barriers and challenges in the design, development, implementation, and delivery of CBE. In response, administrators, faculty, designers, and developers of competency-based experiences must incorporate innovative strategies that are foreign to the traditional institution. A strong emphasis on retention and graduation rates must surround the student with support, starting with the design and development of the CBE system. There are few resources that can help prepare instructional designers, advisors, academic administrators, and faculty to meet the many challenges of designing, developing, implementing, and managing CBE. Career Ready Education Through Experiential Learning is an essential reference book that includes strategies for design and development of competency-based education (CBE) programs, as well as administrative and delivery strategies as examples of how CBE can be implemented. Through a strong theoretical framework, chapters present the best practices, strategies, and practical tips as examples and scenarios that can be used in higher education settings. While highlighting education courses, programs, and lessons across various institutions and educational domains, this book is ideal for higher education administrators and policy designers/implementors, instructional designers, curriculum developers, faculty, public policy leaders, students in curriculum and instruction and instructional technology programs, along with researchers and practitioners interested in CBE and experiential learning in higher education.
A trio of headlines in the Chronicle of Higher Education seem to say it all: in 2013, “A Bold Move Toward MOOCs Sends Shock Waves;” in 2014, “Doubts About MOOCs Continue to Rise,” and in 2015, “The MOOC Hype Fades.” At the beginning of the 2010s, MOOCs, or Massive Open Online Courses, seemed poised to completely revolutionize higher education. But now, just a few years into the revolution, educators’ enthusiasm seems to have cooled. As advocates and critics try to make sense of the rise and fall of these courses, both groups are united by one question: Where do we go from here? Elizabeth Losh has gathered experts from across disciplines—education, rhetoric, philosophy, literary studies, history, computer science, and journalism—to tease out lessons and chart a course into the future of open, online education. Instructors talk about what worked and what didn’t. Students share their experiences as participants. And scholars consider the ethics of this education. The collection goes beyond MOOCs to cover variants such as hybrid or blended courses, SPOCs (Small Personalized Online Courses), and DOCCs (Distributed Open Collaborative Course). Together, these essays provide a unique, even-handed look at the MOOC movement and will serve as a thoughtful guide to those shaping the next steps for open education.
Discusses how school choice, misapplied standards of accountability, the No Child Left Behind mandate, and the use of a corporate model have all led to a decline in public education and presents arguments for a return to strong neighborhood schools and quality teaching.
Science, engineering, and technology permeate nearly every facet of modern life and hold the key to solving many of humanity's most pressing current and future challenges. The United States' position in the global economy is declining, in part because U.S. workers lack fundamental knowledge in these fields. To address the critical issues of U.S. competitiveness and to better prepare the workforce, A Framework for K-12 Science Education proposes a new approach to K-12 science education that will capture students' interest and provide them with the necessary foundational knowledge in the field. A Framework for K-12 Science Education outlines a broad set of expectations for students in science and engineering in grades K-12. These expectations will inform the development of new standards for K-12 science education and, subsequently, revisions to curriculum, instruction, assessment, and professional development for educators. This book identifies three dimensions that convey the core ideas and practices around which science and engineering education in these grades should be built. These three dimensions are: crosscutting concepts that unify the study of science through their common application across science and engineering; scientific and engineering practices; and disciplinary core ideas in the physical sciences, life sciences, and earth and space sciences and for engineering, technology, and the applications of science. The overarching goal is for all high school graduates to have sufficient knowledge of science and engineering to engage in public discussions on science-related issues, be careful consumers of scientific and technical information, and enter the careers of their choice. A Framework for K-12 Science Education is the first step in a process that can inform state-level decisions and achieve a research-grounded basis for improving science instruction and learning across the country. The book will guide standards developers, teachers, curriculum designers, assessment developers, state and district science administrators, and educators who teach science in informal environments.
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.
This book asks how we can reclaim the university for the public good. The editors and contributors argue that the sector is in crisis, accelerated by the passing of the UK Higher Education Research Act in 2017 and made visible during the University and College Union strikes in April 2018. In response to this, there are widespread demands to reclaim the university and protect education as a public good, using co-operative structures. Taking an interdisciplinary and social justice perspective, the editors and contributors offer concrete examples of alternative higher education: in doing so, analysing how the future of the university can be recovered. This intersectional volume discusses a broad range of approaches to higher education while disseminating new ideas. It will be of interest and value to those disenchanted with the current state of higher education in the UK and beyond, as well as activists and policy makers.
This book is based on the workshop that kickstarted the NATO Science Committee Special Programme on Advanced Educational Technology. We invited the leaders in the field to attend this inaugural meeting and were delighted by the quality of the attendance, the papers delivered at the workshop and this book. Many of the authors have subsequently run other meetings funded by the Special Programme and have, or are in the process of, editing books which focus on particular topics. This book covers all the major themes in the area ranging from fundamental theoretical work to empirical studies of state of the art technological innovations. Tim O'Shea chaired the NATO Survey Group which planned the Programme and the subsequent Panel which disbursed funds in the first two years of the Programme. He would like to thank the other group and panel members, namely, Professor N Balacheff, Professor D Bjomer, Professor H Bouma, Professor P C Duchastel, Professor A Dias de Figueiredo, Dr D Jonassen and Professor T Liao. He would like to offer his special thanks to Dr L V da Cunha the NATO Programme Director for his unfailing support and patience. Eileen Scanlon was the Director of the Workshop which is the basis of this book. She offers heartfelt thanks to the contributors and to the following who provided practical help with the meeting or the production of this book: Mrs Pauline Adams, Dr Mike Baker, Mrs Kathy Evans, Mrs Patricia Roe, Mr Dave Perry and Ms Fiona Spensley.
Like other sciences and engineering disciplines, software engineering requires a cycle of model building, experimentation, and learning. Experiments are valuable tools for all software engineers who are involved in evaluating and choosing between different methods, techniques, languages and tools. The purpose of Experimentation in Software Engineering is to introduce students, teachers, researchers, and practitioners to empirical studies in software engineering, using controlled experiments. The introduction to experimentation is provided through a process perspective, and the focus is on the steps that we have to go through to perform an experiment. The book is divided into three parts. The first part provides a background of theories and methods used in experimentation. Part II then devotes one chapter to each of the five experiment steps: scoping, planning, execution, analysis, and result presentation. Part III completes the presentation with two examples. Assignments and statistical material are provided in appendixes. Overall the book provides indispensable information regarding empirical studies in particular for experiments, but also for case studies, systematic literature reviews, and surveys. It is a revision of the authors’ book, which was published in 2000. In addition, substantial new material, e.g. concerning systematic literature reviews and case study research, is introduced. The book is self-contained and it is suitable as a course book in undergraduate or graduate studies where the need for empirical studies in software engineering is stressed. Exercises and assignments are included to combine the more theoretical material with practical aspects. Researchers will also benefit from the book, learning more about how to conduct empirical studies, and likewise practitioners may use it as a “cookbook” when evaluating new methods or techniques before implementing them in their organization.
This book focuses on experimental research in two disciplines that have a lot of common ground in terms of theory, experimental designs used, and methods for the analysis of experimental research data: education and psychology. Although the methods covered in this book are also frequently used in many other disciplines, including sociology and medicine, the examples in this book come from contemporary research topics in education and psychology. Various statistical packages, commercial and zero-cost Open Source ones, are used. The goal of this book is neither to cover all possible statistical methods out there nor to focus on a particular statistical software package. There are many excellent statistics textbooks on the market that present both basic and advanced concepts at an introductory level and/or provide a very detailed overview of options in a particular statistical software programme. This is not yet another book in that genre. Core theme of this book is a heuristic called the question-design-analysis bridge: there is a bridge connecting research questions and hypotheses, experimental design and sampling procedures, and common statistical methods in that context. Each statistical method is discussed in a concrete context of a set of research question with directed (one-sided) or undirected (two-sided) hypotheses and an experimental setup in line with these questions and hypotheses. Therefore, the titles of the chapters in this book do not include any names of statistical methods such as ‘analysis of variance’ or ‘analysis of covariance’. In a total of seventeen chapters, this book covers a wide range of topics of research questions that call for experimental designs and statistical methods, fairly basic or more advanced.