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"We've compiled 12 questions that you should ask yourself if you want to discover the things that will make you - personally - successful. You may think it sounds silly to ask yourself questions that you (in theory) already know the answers to, but it is helpful to frame these thoughts in a targeted way to get you thinking about them. "

"The value of computer programming has been rising exponentially for decades. To the point where now coding has gained traction in mainstream media. TV shows like CBS's The Big Bang Theory or HBO's Silicon Valley are good indicators of computer science careers are taking center stage. The domino effect created by the demand for amazing technology is likewise leading to a demand for skilled workers to engineer and program. Whether training comes through a high school certificate program, or a degree in computer science, the need for project-ready coders is only increasing. The bottom-line: All schools at all levels are kicking coding into overdrive."

"We know that women are underrepresented in math and science jobs. What we don't know is why it happens. There are various theories, and many of them focus on childhood. Parents and toy-makers discourage girls from studying math and science. So do their teachers. Girls lack role models in those fields, and grow up believing they wouldn't do well in them. All these factors surely play some role. A new study points to the influence of teachers' unconscious biases, but it also highlights how powerful a little encouragement can be. Early educational experiences have a quantifiable effect on the math and science courses the students choose later, and eventually the jobs they get and the wages they earn."

"Everyone has a pet theory on how to improve public education: better professional development for teachers, more money, better curriculum, testing for accountability, teacher incentives, technology, streamlined bureaucracy. Policymakers have been trying these solutions for years with mixed results. But those who study the brain have their own ideas for improving how kids learn: focus on teaching kids how to learn."

"Do you know that sinking feeling when you look at what you've created and think your work totally sucks? When you're learning a new skill, you need to realize that giving yourself permission to be terrible-for a while-will eventually foster better learning. Einstein was right about a lot of things, but in my mind this sentiment is one of his finest discoveries (okay, the general theory of relativity is pretty good, too): "Everyone sits in the prison of his own ideas; he must burst it open." - Albert Einstein"

"Over sixty years ago, our dear friend Benjamin Bloom chaired the committee of educators responsible for delivering what we all know today as Bloom's Taxonomy (a bit rich naming it after himself, but it does have a more catchy ring than Krathwohl's Taxonomy). As a key foundation to many modern teaching philosophies, Bloom's Taxonomy gives a theoretical progression to help classify learning objectives. While this theoretical model is the backbone for many of our education systems, turning the theory it into real classroom tasks requires a more practical slant on the taxonomy. In an effort to turn a high level taxonomy into meaningful classroom learning experiences a number of educators have translated each definition into a set of actionable Bloom's Taxonomy verbs. The below chart visualizes each level of the taxonomy, offering verbs that can be used to traverse a wide range of thinking skills and provide hands-on ideas and inspiration for practical classroom activities."

"I got my copy of Get Active: Reimagining Learning Spaces for Student Success at ISTE 2015 this summer in Philadelphia.  I love reading about and studying learning space design theory.  I truly feel that innovative learning environments can transform how our students learn.  This book is an excellent introduction to active learning spaces and strategies we can use in designing and redesigning learning spaces, from hacking our furniture to working with architects on new construction."

"Are you bad at math? And if so, why? A lot of people say that they are bad at math and blame a lack of talent. This belief that we are born being good at certain things and bad at other things is called a fixed mindset. If you ascribe to this idea, then you see intelligence and ability as static. The opposite viewpoint, and one that researchers increasingly think is crucial to success, is the growth mindset. This theory asserts that we can improve at math - or anything else we put our mind to - with practice and determination. We might differ in natural aptitudes or inclinations, but all of us can grow. Not surprisingly, children with a growth mindset are more likely to tackle a challenge or try something new."

"Like many kids of my generation growing up in India, I was an avid reader of Enid Blyton's novels. Many of her books were written as a series ("The Famous Five," "The Secret Seven" and "Five Find-Outers") and I recall wondering if the lives of characters overlapped in any way. Did a character from one series ever run into one from another, for example? I recall wondering the same thing in later years about P.G. Wodehouse's Blandings Castle and Jeeves series. Today, in a world where communities real and imagined are digitally connected via platforms like Facebook, Instagram and Tumblr, we can reframe that question in terms of those common nodes (or friends) in those characters' social networks. As it turns out, network theory as an analytic technique, or what I'd call computational literary analysis, is not just a bona fide research endeavor. It's also a great example of how computational thinking (CT) is truly a cross-disciplinary skill that can be weaved to enrich learning in any subject (not just math and science, as is sometimes the assumption). In an earlier article on computational thinking, I offered teasers of how CT could be integrated into language arts and social studies, in addition to math and science. Here's a detailed treatment of one of those examples, drawn from the work of Franco Moretti's group on "Computational Criticism," which is part of the broader Digital Humanities initiative at Stanford. (See this New York Times profile for more on the work of this group)."

"It's often easy to get stuck into a narrow view of what a particular field of study entails, but as Dominic Walliman reveals in his impressive science infographics, there's much more than meets the eye when thinking of particular STEM subjects. Walliman demonstrates the diversity and complexity of biology, chemistry, computer science, physics, and mathematics in visual maps that explore the breadth of each field. Walliman, who also created animated videos exploring his science infographics, manages to pack all the shades of each complex field on one page. For instance, the Map of Mathematics travels from the origins and foundations of the field to the differences between pure mathematics and applied mathematics. Likewise, chemistry is divided between rules and different sub-topics like biochemistry and inorganic chemistry, with fun illustrations to clearly show what falls underneath each area. Whether you are a scientist who feels like people never quite get what you do or a student who can't put their finger on how they might use their math or science degree, Walliman's infographics will come in handy. Consider them roadmaps to possible careers or cheat sheets to figuring out how quantum physics is related to the theory of relativity. Best of all, by studying the visual maps, it becomes easy to see how all these scientific fields overlap and fit together like a puzzle."

"Bias is a fundamental human characteristic. We are all biased, by our very nature, and every day we make countless decisions based on our gut feelings. We all have preconceived ideas, prejudices, and opinions. And that is fine, as long as we recognize it and take responsibility for it. The fundamental promise of AI, besides the dramatic increase of data processing power and business efficiency, is to help reduce the conscious or unconscious bias of human decisions. At the end of the day, this is what we expect from algorithms, isn't it? Objectivity, mathematical detachment rather than fuzzy emotions, fact-based rather than instinctive decisions. Algorithms are supposed to alert people to their cognitive blind spots, so they can make more accurate, unbiased decisions. At least that's the theory…"

"Computational thinking isn't new. Three decades ago, Seymour Papert introduced computational thinking when he developed the concept of bricolage, which is the construction of something new from many sources. He rightly understood the significance of computers, and with computational thinking, he surmised that they would not only be an integral part of our educational process, but we would need to acquire new ways for learning when using computers. In essence, the bricoleur builds knowledge by engaging in a process of building precise steps that encourage the construction of knowledge. Papert recognized that over time, the learner's theory may change as the result of refining his or her responses in any of the four stages of computational thinking. Even before Papert's work, however, educational visionaries insisted that the way to solve problems in any field was by adopting sequential problem-solving methods, which became algorithmic or computational thinking. In short, we use computational thinking (CT) to solve problems."

It is generally accepted that learning is enhanced by the inclusion of deliberate, reflective practice. Indeed the act of reflecting on the impact that our actions have towards the achievement of any goal (learning oriented or other) is shown to have a positive impact. Reflective practice is defined as the praxis (interdependent and integrated theory, practice, research, thought and action) of individuals or groups to move from 'better thinking to better action' as a result of reflection for, in and on learning (Harvey et al. 2010 p140). With this in mind, it is worth considering what reflective practice might look like and to consider it in a range of contemporary contexts. 

"Leaving a high-flying job in consulting, Angela Lee Duckworth took a job teaching math to seventh graders in a New York public school. She quickly realized that IQ wasn't the only thing separating the successful students from those who struggled. Here, she explains her theory of "grit" as a predictor of success."

"Achieving success typically means keeping a solid grip on your motivation. Otherwise, long-haul projects fizzle fast as you encounter the strain of regular challenges.  But scientists from Emory University now say that chronic inflammation is a huge troublemaker, and that it might interfere with your drive to persist and explore. According to their new theory, detailed in the paper Can't or Won't? Immunometabolic Constraints on Dopaminergic Drive, chronic inflammation puts a squeeze on your brain's dopamine supply. You probably know dopamine best for its role in helping you feel happy, but it's a chemical that keeps your brain seeking novelty, too."

"The spread of online misinformation poses serious challenges to societies worldwide. In a novel attempt to address this issue, we designed a psychological intervention in the form of an online browser game. In the game, players take on the role of a fake news producer and learn to master six documented techniques commonly used in the production of misinformation: polarisation, invoking emotions, spreading conspiracy theories, trolling people online, deflecting blame, and impersonating fake accounts. The game draws on an inoculation metaphor, where preemptively exposing, warning, and familiarising people with the strategies used in the production of fake news helps confer cognitive immunity when exposed to real misinformation. We conducted a large-scale evaluation of the game with N = 15,000 participants in a pre-post gameplay design. We provide initial evidence that people's ability to spot and resist misinformation improves after gameplay, irrespective of education, age, political ideology, and cognitive style."

"Getting to teach economics lessons is one of my favorite things about being a social studies teacher. In economics lessons high school students start to see how many of the math concepts, logic concepts, and political theory they've learned can apply to them in the "real world" after high school. Econ Ed Link is a great resource for lesson plans, videos, and interactive activities for teaching economics concepts. They recently published an updated list of their Math In the Real World lesson plan library. Math In the Real World lesson plans include activities to teach students how to analyze business profit and loss, how the stock market works, and how distribution of income can influence government policies. The Math In the Real World lesson plans also include activities that have a more personal appeal to students. Those lesson plans include building credit, building a savings, and the dangers of payday loan schemes. The payday loan lesson plan is one that has previously been featured here on Free Technology for Teachers."

"May is an important month for teachers. Standardized testing kicks in gear, decisions are being made about next year's budget, and, of course, Teacher Appreciation Week. After ten years in the classroom, I've discovered that the best Teacher Appreciation gifts tend to be free- handwritten notes from students or words of encouragement from veteran teachers. My gift to you is this roundup of advice from voices in every academic discipline, as well as a heavy sprinkling of books about fictional teachers. There are some classics, some hot new titles, and a few books that might push you out of your comfort zone. Whether you are trying to up your game in a certain subject, study theory about different learning styles, or simply read a story about someone else surviving the classroom for a change, you'll find something in this list of 100 must-read books for and about teachers."

"The Remake Learning Playbook is an ambitious project to open source the project code for learning innovation ecosystems. Created by The Sprout Fund as a digital & tangible product, the Playbook documents the process and outcomes of both the Pittsburgh region's efforts to create a community-wide learning innovation network, and specific projects the network has catalyzed. The Playbook captures the spirit and substance of the Remake Learning Network in action. It covers the theory and practice of building learning innovation networks, the resources and strategies required to put networks into action, and the impact of the network in schools, museums, libraries, communities, and more."

Understanding how mobile, global and virtual social networks influence our interpretation of socio-cultural theories of learning might allow us to better understand the interplay of settings and contexts within which learning occurs and in doing so better understand how learning may be facilitated.