Colleges are racing to sign deals with “online proctor” companies that watch students through their webcams while they take exams. But education advocates say the surveillance software forces students to choose between privacy and their grades.
More than 100 MBA programs were closed from 2014 to 2018:
Several U.S. business schools have closed their struggling full-time M.B.A. programs in recent months, and the coronavirus outbreak may endanger more.
The costs of full time, in-residence, on campus programs has become to unwieldy, say the schools. And with the pandemic, in-residence programs are essentially going away. A related factor, now, is the collapse of their international student enrollment.
Analysts think there could be only a few dozen in-residence MBA programs left, within in years – and those primarily at the elite schools.
Yes! This is a permanent elimination:
The University of California board of regents, in a landmark move that could reshape the college admissions process across the country, voted Thursday to drop the SAT and ACT testing requirement.
My own state has also eliminated SAT and ACT tests for public college admissions, starting this fall.
As the victim of a GRE testing failure decades ago that shaped my entire life, I am thrilled to see the end of these absurd testing regimes.
As I noted, every page on their web site should say “For Entertainment Purposes Only”:
Epidemiologists are criticizing an influential coronavirus model as flawed and warning against relying on it as the basis for government decision-making.
Summarizes possible impacts to the U.S. and economic issues. CDC is planning for possible school and business closure mandates, summer Olympics could be canceled, and hoping the disease, like many, subsides during warm summer conditions.
The total number of COVID-19 cases climbed above 80,200 as of Tuesday with deaths climbing to at least 2,704.
U.S. firms discouraging or prohibiting travel by employees to affected areas now including China, Italy, South Korea and southeast Asia including Australia.
Stated another way, the more money poured in to student loan programs, the higher the tuition charged. Tuition goes up because of student loans rather than the view that student loans go up in response to higher tuition.
Consistent with the model, we find that even when universities price-discriminate, a credit expansion will raise tuition paid byall students and not only by those at the federal loan caps because of pecuniary demand externalities. Such pricing externalities are often conjectured in the context of the effects of expanded subprime borrowing on housing prices leading up to the financial crisis, and our study can be seen as complementary evidence in the student loan market.
From: Lucca, D., Nadauld, T., Shen, K. (2015, 2017). Credit supply and the rise in college tuition: Evidence from the expansion in Federal student aid programs. Staff Report no. 733. Federal Reserve Bank of New York.
As the authors note, this is similar to other areas where a third party supply of money causes prices to rise – such as the effect of cheap mortgages causing home prices to rise.
A similar effect occurs in health care where third party “insurance” benefits are an enabler of higher priced health care services.
Whenever the cost of goods are services are subsidized such that their immediate direct costs are lower than the market clearing price, demand for those goods and services will increase. As demand increases relative to supply, the prices charged increase to a new actual and higher market clearing price.
Student loan programs are a major cause of tuition hikes. Cheap mortgages are a major cause of rising home prices. Health “insurance” is a major cause of higher prices charged in health care.
Software development was a nascent field, struggling to gain traction and be taken seriously. It was also previously a field dominated by women, and sadly, a new influx of men wanted to come in, take over and make it a “proper, masculine” discipline. So they pretended they were all engineers and they were all building things, like men wearing hardhats in factories in an engineering or manufacturing context.
I stopped reading at the bold faced text because that is not true. And if that easily verifiable fact is not true, what does that say about the rest of this report?
30% to 50% is not “dominated by women”. I entered the field in the early 1980s when women were up to about 40% of the software work force. By the late 1980s, that began to shift and steadily decreased in the 1990s. Now it is under 20% even though for two decades there have been numerous programs to encourage more women to enter STEM. Surprisingly, they have entered STEM but not TE. They use STEM interchangeably with TE when they really mean TE.
What changed? No one has a coherent answer.
One possibility, never discussed, is the advent of the H-1 visa.
In the early 1990s, the H-1B visa was introduced and almost all H-1B visa tech hires were young men. Unfortunately, the government claims not to know the gender of those working on H-1B visas and we have only estimates. By the year 2000, according to a U.S. Department of Commerce study, 28% of jobs in the field requiring at least a Bachelor’s degree were H-1B workers (who were almost all male). This skewed the gender distribution of the work force but is one that we do not publicly talk about.
Regarding women in STEM, last I had looked at NSF data, women were just over 50% of STEM graduates. But it depends on how you define “STEM” and many choose to define steam as “TE” – technology and engineering and not as Science – Technology – Engineering – Math.
I have seen surveys that omit women in the health sciences (nursing is about 90% female), veterinary medicine (majority of new grads are women) and even medicine. Consequently, the public has no idea about any of the underlying data. We are spun by propaganda messaging from those wanting to adopt their agenda.
Note – Over a ten year period I have personally mentored numerous young women in high school through the FIRST Robotics program. They went on to pursue (and complete) degrees in computer science and engineering fields. This is how we can make a difference.
For decades, the share of women majoring in computer science was rising. Then, in the 1980s, something changed.
NPR makes an assertion that 1984 is when personal computers in the home emerged and that parents only bought personal computers for their sons. The first assertion is false and the second assertion is made without any supporting evidence. The latter assertion provides no meaningful explanation for women in computer science prior to the mid-1980s nor that most young women today have a personal computer but still are, apparently, not going into computer science.
The above NPR report is one that makes you think you have just learned something but in fact, fails to explain anything.
Here is a chart I made showing the percent of homes with a PC, from 1984 to 2012. Data provided by the US Census up through 2012. Data was not collected every year so some years have no data.
You can see that home PCs went from 8% in 1984 to 15% in 1989. Both are small values. This does not explain why fewer women students pursued computer science after the mid-1980s, contrary to the NPR report’s claim.
In roughly the last 20 years, access to personal computers, by gender and age, is widespread but there was no upsurge in computer science enrollment by women which would be expected if the NPR thesis were true.
Another issue is to understand what is being measured. Most discussions of “women in STEM” are referring to “women in computer science” or sometimes “women in computer science and engineering” – and are mistakenly presented as a proxy for women in science. Many STEM metrics specifically omit degrees in (especially) the health sciences as “STEM” when they are also science-based degrees.
Women represent about 90% of all nursing (and elementary school teaching) jobs – fields that employ far more people than are employed in the computer sciences. In terms of overall degrees in science, technology, engineering and math, women graduates were just barely above 50% (last I checked NSF data – It depends on how you define “STEM”). Women are way above 50% in terms of overall 4 year college degree graduates and have been since the early 1980s. 49.8% of medical school students are women and are 78% of veterinary school students.
This shows the same information as trend line over time:
But there is no concern – and instead, silence – about diversity and balance in fields outside of computer science. There is a problem in computer science but unsound assertions, as described in the NPR report, do not lead to useful solutions.
A group of high schools in Hawaii have spent the past year studying physics, aerodynamics and learning how to build quad copters, culminating in a multi-high school competitive quadcopter racing program. Very cool!
In some ways, this is similar to FIRST Robotics, also an awesome program for students interested in learning more about engineering, planning, fabrication and organizing complex projects. There are now many similar programs – nice!
Some have been saying online courses do not work but an MIT study finds otherwise:
Massive open online courses are not only effective, researchers have discovered, they are as effective as what’s being traditionally taught in the classroom — regardless of how prepared or in the know students are.