A Reading List for High School Students About College

The NYTimes sent this to me, a short list of things worth reviewing with students working towards college.  I will be judicious where I use it; however, it is a nice list to see pulled together.  Check out the full article for additional links and information.

Amherst is among the elite colleges that have made progress in admitting low-income students. <a href="http://www.nytimes.com/2014/09/13/upshot/making-top-colleges-less-aristocratic-and-more-meritocratic.html">Related Article</a>

Amherst is among the elite colleges that have made progress in admitting low-income students.

Most Junes we mark the end of the school year by rounding up commencement-speech advice and suggesting ideas for teaching and learning from it.

This year, however, we thought we’d celebrate high school graduates — and those who parent and teach them — with a broader, and possibly more urgent, list. Below, you’ll find a categorized collection of Times articles and Opinion pieces from the 2014-15 academic year about all aspects of higher education — from getting in, to thinking about why you are there, to considering how to fix what’s broken. We hope you’ll find plenty to discuss.

As the school year began last September, Frank Bruni, a Times Op-Ed columnist, issued a challenge to college freshmen to “construct their world from scratch” and seek out people who think differently:

Now more than ever, college needs to be an expansive adventure, yanking students toward unfamiliar horizons and untested identities rather than indulging and flattering who and where they already are. And students need to insist on that, taking control of all facets of their college experience and making it as eclectic as possible.

We hope some of the pieces below can help.

College Admissions

<a href="http://www.nytimes.com/2015/03/15/opinion/sunday/frank-bruni-how-to-survive-the-college-admissions-madness.html">Related Op-Ed</a>

Related Op-EdCredit Ben Wiseman

How to Survive the College Admissions Madness

Promiscuous College Come-Ons

Applications by the Dozen, as Anxious Seniors Hedge College Bets

Colleges Make It Easier for Students to Show, Not Tell, in Their Applications

For Accomplished Students, Reaching a Good College Isn’t as Hard as It Seems

Our Push for ‘Passion,’ and Why It Harms Kids

Why Colleges With a Distinct Focus Have a Hidden Advantage

Does Common Core Ask Too Much of Kindergarten Readers?

http://ww2.kqed.org/mindshift/2015/04/27/does-common-core-ask-too-much-of-kindergarten-readers/

I wonder if anyone in this discussion finds it as sad as I do.  Having recently read the research on age development of boys in “Boys Adrift”, I recognize that the final straw that will keep young men from being successful is the “all day” kindergarten [mislabeled to avoid search engines].  Proponents argue it will help students from struggling population groups achieve success.  Such nonsense, that every student can keep up with the few who are getting it at this age.  But is is more fun than trying to deal with 2nd and 3rd grade.  Full Day Kindergarten is mission accomplished, despite being a long term strategic error. 

The proponents indicate that kindergarten should not be a joyless grind of reading and meeting standards.  But the exams exist and the teacher is marked on not only doing the common core but also proving they are doing the common core.  Everything these days is not merely doing the work but looking just exactly like everyone else doing it.  In the rush of the school year, who has time to think and reflect when more and more time is being taken up doing more and more (yes, I read the article on Finland and doing less) things in a classroom to demonstrate more and more. 

If you are having this discussion, turn off “that” news channel, put down your phone, go outside and breathe the free air.  And let your brain guide you where your heart is already.

Did a Human or a Computer Write This?

If an Algorithm Wrote This, How Would You Even Know?

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LET me hazard a guess that you think a real person has written what you’re reading. Maybe you’re right. Maybe not. Perhaps you should ask me to confirm it the way your computer does when it demands that you type those letters and numbers crammed like abstract art into that annoying little box.

Because, these days, a shocking amount of what we’re reading is created not by humans, but by computer algorithms. We probably should have suspected that the information assaulting us 24/7 couldn’t all have been created by people bent over their laptops.

It’s understandable. The multitude of digital avenues now available to us demand content with an appetite that human effort can no longer satisfy. This demand, paired with ever more sophisticated technology, is spawning an industry of “automated narrative generation.”

Companies in this business aim to relieve humans from the burden of the writing process by using algorithms and natural language generators to create written content. Feed their platforms some data — financial earnings statistics, let’s say — and poof! In seconds, out comes a narrative that tells whatever story needs to be told.

A shocking amount of what we’re reading is created not by humans, but by computer algorithms. Can you tell the difference? Take the quiz.

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These robo-writers don’t just regurgitate data, either; they create human-sounding stories in whatever voice — from staid to sassy — befits the intended audience. Or different audiences. They’re that smart. And when you read the output, you’d never guess the writer doesn’t have a heartbeat.

Consider the opening sentences of these two sports pieces:

“Things looked bleak for the Angels when they trailed by two runs in the ninth inning, but Los Angeles recovered thanks to a key single from Vladimir Guerrero to pull out a 7-6 victory over the Boston Red Sox at Fenway Park on Sunday.”

“The University of Michigan baseball team used a four-run fifth inning to salvage the final game in its three-game weekend series with Iowa, winning 7-5 on Saturday afternoon (April 24) at the Wilpon Baseball Complex, home of historic Ray Fisher Stadium.”

If you can’t tell which was written by a human, you’re not alone. According to a study conducted by Christer Clerwall of Karlstad University in Sweden and published in Journalism Practice, when presented with sports stories not unlike these, study respondents couldn’t tell the difference. (Machine first, human second, in our example, by the way.)

Algorithms and natural language generators have been around for a while, but they’re getting better and faster as the demand for them spurs investment and innovation. The sheer volume and complexity of the Big Data we generate, too much for mere mortals to tackle, calls for artificial rather than human intelligence to derive meaning from it all.

Set loose on the mother lode — especially stats-rich domains like finance, sports and merchandising — the new software platforms apply advanced metrics to identify patterns, trends and data anomalies. They then rapidly craft the explanatory narrative, stepping in as robo-journalists to replace humans.

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The Associated Press uses Automated Insights’ Wordsmith platform to create more than 3,000 financial reports per quarter. It published a story on Apple’s latest record-busting earnings within minutes of their release.Forbes uses Narrative Science’s Quill platform for similar efforts and refers to the firm as a partner.

Then we have Quakebot, the algorithm The Los Angeles Times uses to analyze geological data. It was the “author” of the first news report of the 4.7 magnitude earthquake that hit Southern California last year, published on the newspaper’s website just moments after the event. The newspaper also uses algorithms to enhance its homicide reporting.

But we should be forgiven a sense of unease. These software processes, which are, after all, a black box to us, might skew to some predicated norm, or contain biases that we can’t possibly discern. Not to mention that we may be missing out on the insights a curious and fertile human mind could impart when considering the same information.

The mantra around all of this carries the usual liberation theme: Robo-journalism will free humans to do more reporting and less data processing.

That would be nice, but Kristian Hammond, Narrative Science’s co-founder, estimates that 90 percent of news could be algorithmically generated by the mid-2020s, much of it without human intervention. If this projection is anywhere near accurate, we’re on a slippery slope.

Yes, but can a machine convincing tell us that it was at an event when it wasn’t, the way Brian Williams and Bill O’Reilly can?I don’t think…

It’s mainly robo-journalism now, but it doesn’t stop there. As software stealthily replaces us as communicators, algorithmic content is rapidly permeating the nooks and crannies of our culture, from government affairs to fantasy football to reviews of your next pair of shoes.

Automated Insights states that its software created one billion stories last year, many with no human intervention; its home page, as well as Narrative Science’s, displays logos of customers all of us would recognize: Samsung, Comcast, The A.P., Edmunds.com and Yahoo. What are the chances that you haven’t consumed such content without realizing it?

Books are robo-written, too. Consider the works of Philip M. Parker, a management science professor at the French business school Insead: Hispatented algorithmic system has generated more than a million books,more than 100,000 of which are available on Amazon. Give him a technical or arcane subject and his system will mine data and write a book or report, mimicking the thought process, he says, of a person who might write on the topic. Et voilà, “The Official Patient’s Sourcebook on Acne Rosacea.”

Narrative Science claims it can create “a narrative that is indistinguishable from a human-written one,” and Automated Insights says it specializes in writing “just like a human would,” but that’s precisely what gives me pause. The phrase is becoming a de facto parenthetical — not just for content creation, but where most technology is concerned.

Our phones can speak to us (just as a human would). Our home appliances can take commands (just as a human would). Our cars will be able to drive themselves (just as a human would). What does “human” even mean?

With technology, the next evolutionary step always seems logical. That’s the danger. As it seduces us again and again, we relinquish a little part of ourselves. We rarely step back to reflect on whether, ultimately, we’re giving up more than we’re getting.

Then again, who has time to think about that when there’s so much information to absorb every day? After all, we’re only human.

Related: Interactive Quiz: Did a Human or a Computer Write This? A shocking amount of what we’re reading is created not by humans, but by computer algorithms. Can you tell the difference? Take the quiz.