This book examines twenty-five years of the Australian framework for student equity in higher education, A Fair Chance for All. Divided into two sections, the book reflects on the legacy of equity policy in higher education, the effectiveness of current approaches, and the likely challenges facing future policymakers. The first section explores the creation of the framework, including the major elements of the policy, the political context of its development, and how it compares with international models developed during the same period. The performance of the six student equity groups identified within the framework is also examined. The second section of the book considers future trends and challenges. The Australian university sector has undergone seismic change in the past twenty-five years and faces further changes of equal magnitude. The twenty-fifth anniversary of A Fair Chance for All comes as Australian higher education is poised for another wave of transformation, with rising expansion, competition, and stratification. While the emerging landscape is new, the questions have changed little since A Fair Chance for All was first conceived: How should we define student equity, and what policies are likely to promote it?
The purpose of this book is to provide readers with an introduction to the fields of decision making, location analysis, and project and machine scheduling. The combination of these topics is not an accident: decision analysis can be used to investigate decision seenarios in general, location analysis is one of the prime examples of decision making on the strategic Ievel, project scheduling is typically concemed with decision making on the tactical Ievel, and machine scheduling deals with decision making on the operational Ievel. Some of the chapters were originally contributed by different authors, and we have made every attempt to unify the notation, style, and, most importantly, the Ievel of the exposition. Similar to our book on Integer Programming and Network Models (Eiselt and Sandblom, 2000), the emphasis of this volume is on models rather than solution methods. This is particularly important in a book that purports to promote the science of decision making. As such, advanced undergraduate and graduate students, as weil as practitioners, will find this volume beneficial. While different authors prefer different degrees of mathematical sophistication, we have made every possible attempt to unify the approaches, provide clear explanations, and make this volume accessible to as many readers as possible.
Geoff Ross is an acclaimed Australian landscape photographer. From his base in Australia, he travels around the world seeking to capture through his own eyes inspiring photographs of the world's spectacular landscapes. His New Zealand landscape books have become best sellers in their respective categories.
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