Classification cards applied to team and individual learning.

Thesis (Ed.M.)--Boston Universit

Spartan Daily, February 1, 1996

Volume 106, Issue 5https://scholarworks.sjsu.edu/spartandaily/8790/thumbnail.jp

Spartan Daily, May 1, 1936

Volume 24, Issue 125https://scholarworks.sjsu.edu/spartandaily/2453/thumbnail.jp

Testing the spirit of the information age

Every age has a 'spirit," The Information Age seems to be a more extreme case than most eras, with the constant barrage of messages promising social and individual salvation. Information and information technology are heralded as\ud great, new possibilities not just for reform but perfection, with some even predicting the end of physical death (using information technology. by the end of the next century. The intensity of our current period's fascination with technology is partly due to the technology itself-ideas or sales pitches get out to more people more quickly than ever before in history, and, as a result it\ud is easy to be blinded by all the promises and hype. It is no accident that ideas like "ecommerce" and "knowledge management' are unifying concepts for many in this era, but although there is nothing intrinsically wrong with them, there is something amiss with how they are discussed. This essay comments on the latter issue, the hyperbole of the Information Age, from three perspectives: 1) as a consumer of information technology; 2) as an educator in a field (archives and records management) utilizing information technology; and 3) as an individual convinced about the relevancy of basic Judaic-Christian beliefs as one means to shift critically the many conflicting and confusing messages promulgated by the so-called modern Information\ud Age

Spartan Daily, September 6, 2006

Volume 127, Issue 6https://scholarworks.sjsu.edu/spartandaily/10264/thumbnail.jp

Health Fetishism Among The Nacirema: A Fugue On Jenny Reardon’s The Postgenomic Condition: Ethics, Justice, and Knowledge After The Genome (Chicago University Press, 2017) And Isabelle Stengers’ Another Science Is Possible: A Manifesto For Slow Science (Polity Press, 2018)

Personalized medicine has become a goal of genomics and of health policy makers. This article reviews two recent books that are highly critical of this approach, finding their arguments very thoughtful and important. According to Stengers, biology’s rush to become a science of genome sequences has made it part of the “speculative economy of promise.” Reardon claims that the postgenomic condition is the attempt to find meaning in all the troves of data that have been generated. The current paper attempts to extend these arguments by showing that scientific alternatives such as ecological developmental biology and the tissue organization field theory of cancer provide evidence demonstrating that genomic data alone is not sufficient to explain the origins of common disease. What does need to be explained is the intransience of medical scientists to recognize other explanatory models beside the “-omics” approaches based on computational algorithms. To this end, various notions of commodity and religious fetishism are used. This is not to say that there is no place for Big Data and genomics. Rather, these methodologies should have a definite place among others. These books suggest that Big Data genomics is like the cancer it is supposed to conquer. It has expanded unregulated and threatens to kill the body in which it arose

Passenger Flows in Underground Railway Stations and Platforms, MTI Report 12-43

Urban rail systems are designed to carry large volumes of people into and out of major activity centers. As a result, the stations at these major activity centers are often crowded with boarding and alighting passengers, resulting in passenger inconvenience, delays, and at times danger. This study examines the planning and analysis of station passenger queuing and flows to offer rail transit station designers and transit system operators guidance on how to best accommodate and manage their rail passengers. The objectives of the study are to: 1) Understand the particular infrastructural, operational, behavioral, and spatial factors that affect and may constrain passenger queuing and flows in different types of rail transit stations; 2) Identify, compare, and evaluate practices for efficient, expedient, and safe passenger flows in different types of station environments and during typical (rush hour) and atypical (evacuations, station maintenance/ refurbishment) situations; and 3) Compile short-, medium-, and long-term recommendations for optimizing passenger flows in different station environments