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By that point, there were a solid five decades of industrial research that proved, beyond a doubt, that if you wanted to keep your workers bright, healthy, productive, safe and efficient over a sustained stretch of time, you kept them to no more than 40 hours a week and eight hours a day.

The other thing about knowledge workers is that they’re exquisitely sensitive to even minor sleep loss. Research by the US military has shown that losing just one hour of sleep per night for a week will cause a level of cognitive degradation equivalent to a .10 blood alcohol level. Worse: most people who’ve fallen into this state typically have no idea of just how impaired they are. It’s only when you look at the dramatically lower quality of their output that it shows up. Robinson writes: “If they came to work that drunk, we’d fire them — we’d rightly see them as a manifest risk to our enterprise, our data, our capital equipment, us and themselves. But we don’t think twice about making an equivalent level of sleep deprivation a condition of continued employment.”

Another is that overtime is only effective over very short sprints. This is because (as Sidney Chapman showed in 1909) daily productivity starts falling off in the second week, and declines rapidly with every successive week as burnout sets in. Without adequate rest, recreation, nutrition and time off to just be, people get dull and stupid. They can’t focus.

The Business Roundtable study found that after just eight 60-hour weeks, the fall-off in productivity is so marked that the average team would have actually gotten just as much done and been better off if they’d just stuck to a 40-hour week all along. And at 70- or 80-hour weeks, the fall-off happens even faster: at 80 hours, the break-even point is reached in just three weeks.

Wise managers who understand this will a) avoid requiring overtime crunches, because they’re acutely aware of the serious longer-term productivity hit that inevitably follows; b) keep the crunches as short as possible when they are necessary; and c) give their teams a few days off — one to two comp days per overtime week worked is about right — at the end of a hard sprint. This downtime enables them recuperate more quickly and completely. It’s much more productive to have them gone for the next week — and then back on the job, rested and ready to work — than have them at their workstations but too fried to get anything useful done for the next month.

After WWII, as the GI Bill sent more workers into white-collar jobs, employers at first assumed that the limits that applied to industrial workers probably didn’t apply to knowledge workers. Everybody knew that eight hours a day was pretty much the limit for a guy swinging a hammer or a shovel; but those grey-flannel guys are just sitting at desks. We’re paying them more; shouldn’t we be able to ask more of them? The short answer is: no. In fact, research shows that knowledge workers actually have fewer good hours in a day than manual laborers do — on average, about six hours, as opposed to eight. It sounds strange, but if you’re a knowledge worker, the truth of this may become clear if you think about your own typical work day. Odds are good that you probably turn out five or six good, productive hours of hard mental work; and then spend the other two or three hours on the job in meetings, answering e-mail, making phone calls and so on. You can stay longer if your boss asks; but after six hours, all he’s really got left is a butt in a chair. Your brain has already clocked out and gone home.

Here’s why. By the eighth hour of the day, people’s best work is usually already behind them (typically turned in between hours 2 and 6). In Hour 9, as fatigue sets in, they’re only going to deliver a fraction of their usual capacity. And with every extra hour beyond that, the workers’ productivity level continues to drop, until at around 10 or 12 hours they hit full exhaustion.

For these people, work wasn’t just work; it was their life’s passion, and they devoted every waking hour to it, usually to the exclusion of non-work relationships, exercise, sleep, food and sometimes even personal care. The popular stereotype of the geek was born in some real truths about the specific kinds of people who were drawn to tech in those early years.

Companies broadened their working hours, so programmers who came in at noon and worked through till midnight could make their own schedules. Dress codes were loosened; personal eccentricities were celebrated. HP famously brought in breakfast every morning so its engineers would remember to eat.

There were two problems with this. The first is that this “passion” ideal didn’t recognize that the vast majority of people have legitimate physical, emotional and psychological needs — things like sleep, exercise, relaxation and the maintenance of strong family and social support bonds — that these engineers didn’t have to nearly the same degree. The second was that most managers, lacking windows into their workers’ souls, decided to cut corners and measure passion with one easy-to-chart metric: “willingness to spend your entire life at the office.”

The unions — for 150 years, the guardians of the 40-hour week — were falling under a conservative onslaught; and in their place, the new cult of the entrepreneur was ascendant.

“working 90 hours a week and loving it!” (an actual T-shirt worn with pride by the original Macintosh team. (Productivity experts estimate that we’d have probably had the Mac a year sooner if they’d worked half as many hours per week instead.)

Within 15 years, everything America’s managers used to know about sustaining worker productivity was forgotten. Now, 30 years and a few economic meltdowns on, the cafeterias and child-care centers and gyms are mostly gone, along with the stock options and bonuses that were once held out as the potential reward for the long hours. All that remains of those heady, optimistic days is the mandatory 60-hour work-week. And, unless you’re an hourly worker — still entitled to time and a half by law — the only inducement employers currently offer in exchange for submitting yourself to this abuse is that you get to keep your job.

There are now whole industries and entire branches of medicine devoted to handling workplace stress, but the bottom line is that people who have enough time to eat, sleep, play a little, exercise and maintain their relationships don’t have much need of their help. The original short-work movement in 19th-century Britain demanded “eight for work, eight for sleep and eight for what we will.” It’s still a formula that works.

And it hurts the country, too. For every four Americans working a 50-hour week, every week, there’s one American who should have a full-time job, but doesn’t. Our rampant unemployment problem would vanish overnight if we simply worked the way we’re supposed to by law.

But the bottom line is: For the good of our bodies, our families, our communities, the profitability of American companies, and the future of the country, this insanity has to stop. Working long days and weeks has been incontrovertibly proven to be the stupidest, most expensive way there is to get work done.

Not being able to code doesn't make you digitally illiterate. Not being able to participate in  social, economic, cultural and political life because you lack the confidence, skills and opportunity to do so is what makes you digitally illiterate.

Effective LMS 3.0 learning grids create and inspire greater user independence and self-governance to facilitate effective content-creation capacities and new crowd-sourced intellectual property through the personalization of a vast array of information sources. LMS 3.0, properly designed, creates reliable content that facilitates learning through organized interaction and communications processes that include the widest-possible spectrum of points of view.

LMS 3.0 information architecture plays an increasingly important role as the gravitational pull for core strategies in assessment, engagement, retention, and outcomes.

Tracking learning events is crucial, but ultimately faculty are interested in the kind of learning that yields positive behavioral changes reflected in outcomes and a mastery level leading to a seamless transition to the workforce.

LMS 3.0 design expands functionality to include open, flexible digital repositories with components that add context through outcomes measurement, social curation, reporting, analytics, and extensive sharing capabilities.

Higher education is increasingly embracing a more open future, and next-generation LMS design needs to commit to an open ideology.

Moving from LMS 1.0 environments that do not offer long-standing, established community contributor models—from the perspective of both source code and open content—to a truly open environment will be a critical success benchmark for the post-LMS era.

Effective e-learning design, as a lowest common denominator, will embrace nimble, interoperable, modular infrastructure in ways that make learning contemporary, relevant, and engaging.