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Though Facebook will occasionally talk about the transparency of governments and corporations, what it really wants to advance is the transparency of individuals – or what it has called, at various moments, “radical transparency” or “ultimate transparency”. The theory holds that the sunshine of sharing our intimate details will disinfect the moral mess of our lives. With the looming threat that our embarrassing information will be broadcast, we’ll behave better. And perhaps the ubiquity of incriminating photos and damning revelations will prod us to become more tolerant of one another’s sins. “The days of you having a different image for your work friends or co-workers and for the other people you know are probably coming to an end pretty quickly,” Zuckerberg has said. “Having two identities for yourself is an example of a lack of integrity.”

The essence of the algorithm is entirely uncomplicated. The textbooks compare them to recipes – a series of precise steps that can be followed mindlessly. This is different from equations, which have one correct result. Algorithms merely capture the process for solving a problem and say nothing about where those steps ultimately lead.

For the first decades of computing, the term “algorithm” wasn’t much mentioned. But as computer science departments began sprouting across campuses in the 60s, the term acquired a new cachet. Its vogue was the product of status anxiety. Programmers, especially in the academy, were anxious to show that they weren’t mere technicians. They began to describe their work as algorithmic, in part because it tied them to one of the greatest of all mathematicians – the Persian polymath Muhammad ibn Musa al-Khwarizmi, or as he was known in Latin, Algoritmi. During the 12th century, translations of al-Khwarizmi introduced Arabic numerals to the west; his treatises pioneered algebra and trigonometry. By describing the algorithm as the fundamental element of programming, the computer scientists were attaching themselves to a grand history. It was a savvy piece of name-dropping: See, we’re not arriviste, we’re working with abstractions and theories, just like the mathematicians!

Are we teaching students to look for help everywhere to solve their problems? 4. There should be a K-12 agreement about which skills and software knowledge our students are going to graduate with. A expected skill set sounds like a good idea but is a list of required software competencies too prescriptive and unrealistic to maintain? Yes….first of all this is exaclty why the NETs for Students does not list software. If we teach software we are teaching a program not a skill. Let’s teach skills and use the appropriate program needed to accomplish the task at hand. Like Andrew points out, it really is unrealistic to maintain a list of all the programs that students have mastered, been exposed to, or know exist. I have seen schools try and do this and I have only seen a mess as the outcome. Students come and go, programs come and go, one year we are teaching X and the next year Y. Teach the skill and choose the program that fits.

Create can be met with paper and pencil, with glue and scissors, with a hammer and nail, or with movie maker and it should be the job of every teacher to expose students to different ways of creating content that fits within their discipline.

The bigger question is what do students need to learn, period.

Curriculum is designed to predict need.

Authenticate problem solving, ideation and play in our digital world requires the ability to program.

In Street-Fighting Mathematics, Sanjoy Mahajan builds, sharpens, and demonstrates tools for educated guessing and down-and-dirty, opportunistic problem solving across diverse fields of knowledge—from mathematics to management