To justify their campaign, ed reformers repeat, mantra-like, that U.S. students are trailing far behind their peers in other nations, that U.S. public schools are failing. The claims are specious. Two of the three major international tests—the Progress in International Reading Literacy Study and the Trends in International Math and Science Study—break down student scores according to the poverty rate in each school. The tests are given every five years. The most recent results (2006) showed the following: students in U.S. schools where the poverty rate was less than 10 percent ranked first in reading, first in science, and third in math. When the poverty rate was 10 percent to 25 percent, U.S. students still ranked first in reading and science. But as the poverty rate rose still higher, students ranked lower and lower. Twenty percent of all U.S. schools have poverty rates over 75 percent. The average ranking of American students reflects this. The problem is not public schools; it is poverty. And as dozens of studies have shown, the gap in cognitive, physical, and social development between children in poverty and middle-class children is set by age three.
Florence Dujardin on 28 Sep 10Abstract: Previously assumed to be a homogenous and highly skilled group with respect to information and communications technology, the so-called Net Generation has instead been shown to possess a diverse range of technology skills and preferences. To better understand this diversity, we subjected data from 2096 students aged between 17 and 26 from three Australian universities to a cluster analysis. Through this analysis, we identified four distinct types of technology users: power users (14% of sample), ordinary users (27%), irregular users (14%) and basic users (45%). A series of exploratory chi-square analyses revealed significant associations between the different types of technology users and the university that students attended, their gender and age and whether the student was local or international. No associations were found for analyses related discipline area, socio-economic status or rurality of residence. The findings are discussed in light of the rhetoric associated with commentaries about the Net Generation, and suggestions about their implications for teaching and learning in universities are offered.
