Scholarship Reconsidered


Book Description

Shifting faculty roles in a changing landscape Ernest L. Boyer's landmark book Scholarship Reconsidered: Priorities of the Professoriate challenged the publish-or-perish status quo that dominated the academic landscape for generations. His powerful and enduring argument for a new approach to faculty roles and rewards continues to play a significant part of the national conversation on scholarship in the academy. Though steeped in tradition, the role of faculty in the academic world has shifted significantly in recent decades. The rise of the non-tenure-track class of professors is well documented. If the historic rule of promotion and tenure is waning, what role can scholarship play in a fragmented, unbundled academy? Boyer offers a still much-needed approach. He calls for a broadened view of scholarship, audaciously refocusing its gaze from the tenure file and to a wider community. This expanded edition offers, in addition to the original text, a critical introduction that explores the impact of Boyer's views, a call to action for applying Boyer's message to the changing nature of faculty work, and a discussion guide to help readers start a new conversation about how Scholarship Reconsidered applies today.







The Department Chair as Academic Leader


Book Description

This important new work will help department chairs, faculty, and administrators understand and address the increasing complexity of relationships within higher education, as well as the growing influence of external factors. The Department Chair as Academic Leader is a completely updated revision of Allan Tucker's seminal contribution, Chairing the Academic Department, last published in 1992. This work reflects the approach used in the ACE Workshops for Division and Department Chairs and Deans.




Scholarship Assessed


Book Description

Scholarship Assessed continues the exploration begun by Scholarship Reconsidered. It examines the changing nature of scholarship in today's colleges and universities and proposes new standards with a special emphasis on methods for assessment and documentation. Begun under the oversight of Ernest L. Boyer, and based on the findings of the Carnegie Foundation's National Survey on the Reexamination of Faculty Roles and Rewards, Scholarship Assessed provides a base of information for and gives focus to the debate of institutional standards of rigor and quality.




The Future of Aging


Book Description

Just as the health costs of aging threaten to bankrupt developed countries, this book makes the scientific case that a biological "bailout" could be on the way, and that human aging can be different in the future than it is today. Here 40 authors argue how our improving understanding of the biology of aging and selected technologies should enable the successful use of many different and complementary methods for ameliorating aging, and why such interventions are appropriate based on our current historical, anthropological, philosophical, ethical, evolutionary, and biological context. Challenging concepts are presented together with in-depth reviews and paradigm-breaking proposals that collectively illustrate the potential for changing aging as never before. The proposals extend from today to a future many decades from now in which the control of aging may become effectively complete. Examples include sirtuin-modulating pills, new concepts for attacking cardiovascular disease and cancer, mitochondrial rejuvenation, stem cell therapies and regeneration, tissue reconstruction, telomere maintenance, prevention of immunosenescence, extracellular rejuvenation, artificial DNA repair, and full deployment of nanotechnology. The Future of Aging will make you think about aging differently and is a challenge to all of us to open our eyes to the future therapeutic potential of biogerontology.




Machine Learning with R


Book Description

Written as a tutorial to explore and understand the power of R for machine learning. This practical guide that covers all of the need to know topics in a very systematic way. For each machine learning approach, each step in the process is detailed, from preparing the data for analysis to evaluating the results. These steps will build the knowledge you need to apply them to your own data science tasks.Intended for those who want to learn how to use R's machine learning capabilities and gain insight from your data. Perhaps you already know a bit about machine learning, but have never used R; or perhaps you know a little R but are new to machine learning. In either case, this book will get you up and running quickly. It would be helpful to have a bit of familiarity with basic programming concepts, but no prior experience is required.




One-ton Containers


Book Description