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“You’re too old to learn a foreign language.” “I couldn’t work on computers. I’m just not good with them.” “I’m not smart enough to run my own business.” Do you know what these statements have in common? They’re all examples of the fixed mindset- the belief that intelligence, ability, and success are static qualities that can’t be changed.

The problem is, this mindset will make you complacent, rob your self-esteem and bring meaningful education to a halt. In short, it’s an intellectual disease and patently untrue.

7 Essential Tools for a Flipped Classroom

The flipped classroom uses technology to allow students more time to apply knowledge and teachers more time for hands-on education.

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The focus tends to be on how to use computers rather than on what makes them work. Students may become adept at surfing the Web and at word processing, but they aren't developing the critical thinking skills essential to creating the software and hardware that power computers.

What should students learn in the 21st century? At first glance, this question divides into two: what should students know, and what should they be able to do? But there's more at issue than knowledge and skills.

For the innovation economy, dispositions come into play: readiness to collaborate, attention to multiple perspectives, initiative, persistence, and curiosity. While the content of any learning experience is important, the particular content is irrelevant. What really matters is how students react to it, shape it, or apply it. The purpose of learning in this century is not simply to recite inert knowledge, but, rather, to transform it.1 It is time to change the subject.

Expanding the "Big Four" Why not study anthropology, zoology, or environmental science? Why not integrate art with calculus, or chemistry with history? Why not pick up skills and understandings in all of these areas by uncovering and addressing real problems and sharing findings with authentic audiences? Why not invent a useful product that uses electricity, or devise solutions to community problems, all the while engaging in systematic observation, collaborative design, and public exhibitions of learning?

The Australian educator Anne Newman (1977) suggested five significant prompts to help determine where errors may occur in students attempts to solve written problems. She asked students the following questions as they attempted problems.1.       Please read the question to me. If you don't know a word, leave it out.2.       Tell me what the question is asking you to do.3.       Tell me how you are going to find the answer.4.       Show me what to do to get the answer. "Talk aloud" as you do it, so that I can    understand how you are thinking.5.       Now, write down your answer to the question.These five questions can be used to determine why students make mistakes with written mathematics questions.

So since expectations can change the performance of kids, how do we get teachers to have the right expectations? Is it possible to change bad expectations?

"It's really tough for anybody to police their own beliefs," he said. "But think about being in a classroom with 25 kids. The demands on their thinking are so great."

"If I believe boys are disruptive and my job is control the classroom, then I'm going to respond with, 'Johnny! You're out of line here! We need you to sit down right now.' "

An important technical rule governs the use of the “@” sign, which is the beginning of every account’s handle. If you start a tweet to someone with “@,” only that person and those who follow both of you will see the tweet. This is so you can have a semi-private conversation with that person without cluttering up others’ timelines. To make the tweet appear in the timelines of everyone who follows you, add a word or character before the “@” sign, even just a period.

ust as advances in technology enabled the growth of science, the extremely rapid growth of technology we’re experiencing today is impacting our perspectives, tools, and priorities now. But beyond some mild clamor for a focus on “STEM,” there have been only minor changes in how we think of content–this is spite of extraordinary changes in how students connect, access data, and function on a daily basis.

What kind of changes might we expect in a perfect-but-still-classroom-and-content-based world? What might students learn in the future? Of course any response at all is pure speculation, but if we draw an arc from classical approaches to the Dewey approach to what might be next–factoring in technology change, social values, and criticisms of the current model–we may get a pretty decent answer. This assumes, of course a few things (all of which may be untrue): 1. We’ll still teach content 2. That content will be a mix of skills and knowledge 3. Said skills and knowledge will be thematically arranged into “content areas”

The Content Of The Future: 8 Content Areas For Tomorrow’s Students 1. Literacy Big Idea: Reading and writing in physical & digital spaces Examples of traditional ideas and academic content areas included: Grammar, Word Parts, Greek & Latin Roots, The Writing Process, Fluency; all traditional content areas 2. Patterns Big Idea: How and why patterns emerge everywhere under careful study Examples of traditional ideas and academic content areas include: Grammar, Literature, Math, Geometry, Music, Art, Social Studies, Astronomy 3. Systems Big Idea: The universe—and every single thing in it–is made of systems, and systems are made of parts. Examples of traditional ideas and academic content areas include: Grammar, Law, Medicine, Science, Math, Music, Art, Social Studies, History, Anthropology, Engineering, Biology; all traditional content areas by definition (they’re systems, yes?) 4. Design Big Idea: Marrying creative and analytical thought Examples of traditional ideas and academic content areas include: Literature, Creativity, Art, Music, Engineering, Geometry 5. Citizenship Big Idea: Responding to interdependence Examples of traditional ideas and academic content areas include: Literature, Social Studies, History; Civics, Government, Theology 6. Data Big Idea: Recognizing & using information in traditional & non-traditional forms Examples of traditional ideas and academic content areas include: Math, Geometry, Science, Engineering, Biology; 7. Research Big Idea: Identifying, evaluating, and synthesizing diverse ideas Examples of traditional ideas and academic content areas include: English, Math, Science; Humanities 8. Philosophy Big Idea: The nuance of thought Examples of traditional ideas and academic content areas include: Ethics, Literature/Poetry, Art, Music; Humanities

Let’s look more closely at what is happening, conceptually, when we make an analogy. “The essential requirement for analogical thinking,” Holyoak and Thagard write, “is the ability to look at specific situations and [] pull out abstract patterns that may also be found in superficially different situations.” That’s important, so I’ll say it again in a slightly different way: A useful analogy reveals the deep commonalities beneath superficial differences.

What does this allow us to do? The scientists Kevin Dunbar studied used analogies, first, to formulate hypotheses that they could then test. Their thought process went something like this: If we know that X does Y when Z, is it possible that A does Y when Z, too? Let’s find out. That’s often how innovations get their start, in the lab and elsewhere: by taking a familiar starting point and using it as a launch pad to explore new territory.

The appearance in the transcript of words indicating uncertainty, such as “maybe,” “I don’t know,” and “I don’t understand,” was often followed by an attempt to draw an analogy—to compare the ambiguous situation to a situation with which the scientists were familiar.

The thing that sets children apart from adults is not their ignorance, nor their lack of skills. It’s their enormous capacity for joy.

Human lives are governed by the desire to experience joy. Becoming educated should not require giving up joy but rather lead to finding joy in new kinds of things: reading novels instead of playing with small figures, conducting experiments instead of sinking cups in the bathtub, and debating serious issues rather than stringing together nonsense words, for example

What is Learning Agility? Learning agility is the capacity for rapid, continuous learning from experience. Agile learners are good at making connections across experiences, and they’re able to let go of perspectives or approaches that are no longer useful — in other words, they can unlearn things when novel solutions are required. People with this mindset tend to be oriented toward learning goals and open to new experiences. They experiment, seek feedback, and reflect systematically.

How Do You Develop Learning Agility? Since developing learning agility involves learning to recognize and change automatic routines, the aid of a coach can be invaluable. Coaching, which Peterson calls “the ultimate customized learning solution,” helps clients understand how their minds work and how to make them work better. But even if you’re not working with a coach, there are steps you can take on your own to enhance your learning agility. Ask for feedback. Think of one or more people who interacted with you or observed your performance on a given task.

Experiment with new approaches or behaviors. To identify new behaviors for testing, Peterson recommends reflecting on a challenge you’re facing and asking yourself questions such as “What’s one thing I could do to change the outcome of the situation?” and “What will I do differently in the future?”