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they are internationally-benchmarked and based on evidence and research about what it takes to be prepared for first-year college courses and entry level jobs leading to careers.

A student, for example, would no longer be required to simply memorize the formula for volume. Instead, they would need to use their conceptual understanding of volume to build different containers with the same volume. This approach differs from current standards and teaching practices, which too often place an emphasis on rote memorization over deeper understanding. 

Second, the standards are clear, focused, and rigorous

standards allow for economies of scale and the ability to share and compare across state lines.

Teachers in states that have adopted the Common Core can share effective practices and materials and collaborate more easily

For instance, how often do most adults encounter a situation in which they need to solve a quadratic equation? Do they need to know what constitutes a “group of transformations” or a “complex number”? Of course professional mathematicians, physicists and engineers need to know all this, but most citizens would be better served by studying how mortgages are priced, how computers are programmed and how the statistical results of a medical trial are to be understood.

Imagine replacing the sequence of algebra, geometry and calculus with a sequence of finance, data and basic engineering.

Traditionalists will object that the standard curriculum teaches valuable abstract reasoning, even if the specific skills acquired are not immediately useful in later life. A generation ago, traditionalists were also arguing that studying Latin, though it had no practical application, helped students develop unique linguistic skills. We believe that studying applied math, like learning living languages, provides both useable knowledge and abstract skills.

In math, what we need is “quantitative literacy,” the ability to make quantitative connections whenever life requires (as when we are confronted with conflicting medical test results but need to decide whether to undergo a further procedure) and “mathematical modeling,” the ability to move practically between everyday problems and mathematical formulations (as when we decide whether it is better to buy or lease a new car).

Here are seven skills I can easily list for the organization trait. Organization is: 1) using a strong lead or hook, 2) using a variety of transition words correctly, 3) paragraphing correctly, 4) pacing the writing, 5) sequencing events/ideas logically, 6) concluding the writing in a satisfying way, 7) titling the writing interestingly and so that the title stands for the whole idea. Over the years, I have developed or found and adapted mini-lessons that have students practice these skills during my "Organization Month."

Now, let's talk differentiation:

The problem with focusing students on a product--instead of the writing process--is that the majority of the instructional time is spent teaching students to adhere to a formula.

These digital activities should not be the sole measure of tenure, but they should be counted in the tenure formula. The irony today is that if the open activity is analog (e.g., participation on a committee), it likely counts toward tenure, but if the open activity is digital (e.g., writing an academic blog), it probably does not.

They will push at (and leak out of) the boundaries of whatever learning management system (or other enterprise systems) the institution wants them to use. This is not because they are uncooperative; it's simply that these enterprise systems tend to be locked down, allowing only employees and students to share within these environments

For me, an interesting side effect of sharing on the open web is that I've learned to be more careful about what I say and write.

Looking for indicators of open digital faculty is easier than coming up with a strict definition. The presence of several of the following characteristics should be taken as an indication of open digital faculty: Writing a public blog or maintaining a public wiki to share academic interests Freely sharing what might otherwise be guarded intellectual property (e.g., textbooks, research-in-progress, computer programs, course materials, artwork) Participating in a learning community in a social networking platform (e.g., Twitter or LinkedIn discussion groups) Participating in a social network that includes students, both current and past (e.g., Facebook) Encouraging students to participate in class-related projects that employ web-based media (e.g., student blogs, group wikis) Creating or participating in open courses Sharing video or audio content created for a course (e.g., podcasts) Sharing information and ideas from conference talks on the web (e.g., recordings, tweets, presentation links)

Da Vinci basically out-observed everyone in his generation? That was critical. He spent a lot of time observing and figuring out where there were important problems and pain points that could be improved by either iterating or innovating. It’s a simple but powerful formula. Lots of organizations could do a better job of carefully observing the best opportunities to target, and then attacking the opportunity with their best ideas.

Innovation is about what’s next. To pull off a big innovation, you almost always have to take a big risk. You have to try something different.