What are some of the changes of the 1900 ideas of John Dewey’s controversial IQ tests adjustment curriculum and today’s educational testing curriculum?
Wk 1 Psych 655 Discussion Questions
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1. Can tests predict later achievement? Are they fair to interviewees?
References/ Notes
A Good Test. Films Media Group, 1988, fod.infobase.com/PortalPlaylists.aspx?wID=18566&xtid=48721.
Intelligence Testing A good test [Video file]. (1988). Retrieved January 19, 2017, from http://fod.infobase.com/PortalPlaylists.aspx?wID=18566&xtid=48721
2. What are some of the changes of the 1900 ideas of John Dewey’s controversial IQ tests adjustment curriculum and today’s educational testing curriculum? Does testing help define achievement academically?
NOTES In 1900, 6% of America’s children graduated from high school; by 1945, 51% graduated and 40% went on to college. This program recalls how massive immigration, child labor laws, and the explosive growth of cities fueled school attendance and transformed public education. Also explored are the impact of John Dewey’s progressive ideas as well as the effects on students of controversial IQ tests, the “life adjustment” curriculum, and Cold War politics. Interviews with immigrant students, scholars, and administrators provide a portrait of America’s changing educational landscape in the first half of the 20th century.
As American as public school: 1900-1950 [Video file]. (2000). Retrieved January 19, 2017, from http://fod.infobase.com/PortalPlaylists.aspx?wID=18566&xtid=11763
3. How effective is Normal Distribution
NOTES Education psychologists use IQ tests to test a child’s ability to learn effectively. A normal distribution is an arrangement of a data set in which most values cluster in the middle of the range and the rest taper off symmetrically toward either extreme.
Height is one simple example of something that follows a normal distribution pattern: Most people are of average height, the numbers of people that are taller and shorter than average are fairly equal and a very small (and still roughly equivalent) number of people are either extremely tall or extremely short.
The normal distribution is the most important and most widely used distribution in statistics. It is sometimes called the “bell curve,” although the tonal qualities of such a bell would be less than pleasing. It is also called the “Gaussian curve” after the mathematician Karl Friedrich Gauss. As you will see in the section on the history of the normal distribution, although Gauss played an important role in its history, Abraham de Moivre first discovered the normal distribution.
Strictly speaking, it is not correct to talk about “the normal distribution” since there are many normal distributions. Normal distributions can differ in their means and in their standard deviations. Figure 1 shows three normal distributions. The green (left-most) distribution has a mean of -3 and a standard deviation of 0.5, the distribution in red (the middle distribution) has a mean of 0 and a standard deviation of 1, and the distribution in black (right-most) has a mean of 2 and a standard deviation of 3. These as well as all other normal distributions are symmetric with relatively more values at the center of the distribution and relatively few in the tails.
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