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"July 16, 2014 While searching for some resources on a paper and writing on  the 21st century learning skills I came across this skills checklist created by the university of Toledo. This checklist is meant to help students build powerful resumes outlining all the skills they master. I spent some time going through the components of this sheet and found it really sharing with you here.  You can use this sheet with your students as an explanatory guide of some of the important skills ( I said some because some other important skills particularly those related to digital citizenship and digital literacy are missing) they need to work. Below is a round-up of the 9 most important skills which I selected from the entire list. You can acccess this list from this link. 1- Research skills Know how to find and collect relevant background information Be able to analyze data, summarize findings and write a report 2- Critical Thinking skills Be able to review different points of view or ideas and make objective judgments Investigate all the possible solutions to a problem, weighing the pros and cons 3- Organizational skills Be able to organize information, people or thins in a systematic way Be able to establish priorities and meet deadlines 4- Problem-solving skills Be able to clarify the nature of a problem Be able to evaluate alternatives, propose viable solutions and determine the outcome of the various options 5- Creative thinking skills Be able to generate new ideas, invent new things, create new images or designs Find new solutions to problems Be able to use wit and humour effectively 6- Analytical/ logical thinking skills Be able to draw specific conclusions from a set of general observations of from a set of specific facts Be able to synthesize information and ideas 7- Public speaking skills Be able to make formal presentations Present ideas, positions and problems in an interesting way 8- Oral communication skills Be able to present information and ideas clearly a

"The Partnership for Assessment of Readiness for College and Careers (PARCC) describes close reading in light of the Common Core State Standards.  Close, analytic reading stresses engaging with a text of sufficient complexity directly and examining meaning thoroughly and methodically, encouraging students to read and reread deliberately.  Directing student attention on the text itself empowers students to understand the central ideas and key supporting details.  It also enables students to reflect on the meanings of individual words and sentences; the order in which sentences unfold; and the development of ideas over the course of the text, which ultimately leads students to arrive at an understanding of the text as a whole. (PARCC, 2011, p.7)"

"ome widely held ideas about the way children learn can lead educators and parents to adopt faulty teaching principles Jan 1, 2015 Credit: Kiyoshi Takahase segundo MYTH HUMANS USE ONLY 10 PERCENT OF THEIR BRAIN FACT The 10 percent myth (sometimes elevated to 20) is mere urban legend, one perpetrated by the plot of the 2011 movie Limitless, which pivoted around a wonder drug that endowed the protagonist with prodigious memory and analytical powers. In the classroom, teachers may entreat students to try harder, but doing so will not light up "unused" neural circuits; academic achievement does not improve by simply turning up a neural volume switch. MYTH "LEFT BRAIN" and "RIGHT BRAIN" PEOPLE DIFFER FACT The contention that we have a rational left brain and an intuitive, artistic right side is fable: humans use both hemispheres of the brain for all cognitive functions. The left brain/right brain notion originated from the realization that many (though not all) people process language more in the left hemisphere and spatial abilities and emotional expression more in the right. Psychologists have used the idea to explain distinctions between different personality types. In education, programs emerged that advocated less reliance on rational "left brain" activities. Brain-imaging studies show no evidence of the right hemisphere as a locus of creativity. And the brain recruits both left and right sides for both reading and math. MYTH YOU MUST SPEAK ONE LANGUAGE BEFORE LEARNING ANOTHER FACT Children who learn English at the same time as they learn French do not confuse one language with the other and so develop more slowly. This idea of interfering languages suggests that different areas of the brain compete for resources. In reality, young children who learn two languages, even at the same time, gain better generalized knowledge of language structure as a whole. MYTH BRAINS OF MALES AND FEMALES DIFFER IN WAYS THAT DICTATE LEARNING ABILITIES FACT Diffe

"Science, Technology, Engineering, Math. Teach coding, get girls interested in all of these subjects. However you slice it, there's a lot of focus on the logical and analytical brain functions these days. Many schools are cutting the 'extras' like art and music. While I firmly believe that students need to be well rounded and really need subjects like those to be considered more than 'extra', and while there are many people fighting to keep these programs in schools, you can't deny that the international economy and jobs outlook is demanding more focus on STEM. But does that mean we should drop all focus on the other stuff? The handy infographic below takes a look at why focusing on the skills of half our brain is not enough. It explores the functions of all parts of the brain (however simplified) and gives some insight into how the creative skills can help you a lot."

"I must confess: I am a coder. I like to create and build through computer programming. I find it engages a special part of my brain and calms me when I need a break of administrative or educational work. In fact, I used to code for Microsoft. I also teach coding and I love that coding teaches them to grow as analytical thinkers and problem solvers. In short, I am a big proponent for learning how to code. What has struck most of late is just how universal coding has become as a connector of people. When I first played around with the topic for this post, I considered titling it as, "Coding is a Universal Language," but a set of colleagues corrected me. Coding does not follow the rules of common languages; it exceeds them. Coding ties people together from all backgrounds and ages with the universal concepts of planning, creativity, design, and development. It is both constructive and destructive, fueling collaboration in some and isolation in others. What I challenge readers to think about is finding any part of modern society that is not touched in some way by coding? Think of any social or political event of the past 25 years that didn't have some connection to coding. Think of one nation of people on earth that haven't been influenced in some way by coding. I am sure you can find some, but those outliers are vastly overwhelmed by the examples of coding being tied to the central fabric of contemporary digital society."

"When we set out to pick the 100 best iPhone apps of all time, our intention wasn't to simply do a list of the most useful or entertaining apps currently available. Just as a great teacher in your youth may have helped shape who you are today, groundbreaking apps of the past have had tremendous impact on the iPhone experience, even if their influence may have since waned or faded entirely. Ranking them was even more of a challenge. After whittling the list down to 100, we rated each app on its design, usefulness and cultural impact. We also took into account App Store data provided by analytics firm App Annie. Here's a full breakdown of our methodology. Though many names on this list are familiar, there are some surprises, too. These are the viral hits, the games we couldn't put down, the utilities that helped us master our workday, the apps that burned brightly and then faded away, the ones that first made the iPhone feel like magic - and those that still do."

"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)."

"fter talking to 350 students, educators, and parents across 30 schools, they found few schools where powerful learning, in which most students were engaged and thinking critically, was happening across the board. However, they did find individual teachers who were making it happen on their own. In those classrooms, students were enthusiastically engaged, participating in challenging tasks that drew on their analytical and problem-solving skills. Mehta and Fine describe these bright spots in their new book, In Search of Deeper Learning: The Quest to Remake the American High School. Usable Knowledge sat down with Mehta and Fine, who is now the director of the teaching apprenticeship program at the High Tech High Graduate School of Education in San Diego, to find out how other teachers can replicate the successes they uncovered - and how to prepare teachers to facilitate the kind of deeper learning we'd hope to see in every setting."

"Computer science education is not a new field. Much of what we know about the pedagogy and content for elementary students comes from Seymour Papert's research on teaching elementary students to code back in the 1970's and 80's. But, as we shift from labs and one-off classrooms to a broad expansion for all students in every classroom K-12, we are seeing changes to how computer science is taught. This means we are working in a rapidly evolving field (insert metaphor of building a plane while flying it). Over time, we have gone from a focus on coding (often in isolation) to a more broad idea of computer science as a whole, and now to the refined idea of computational thinking as a foundational understanding for all students. Pause. You may be asking, "But wait, what's computational thinking again?" In her book Coding as a Playground, Marina Umaschi Bers explained: "The notion of computational thinking encompasses a broad set of analytic and problem-solving skills, dispositions, habits, and approaches most often used in computer science, but that can serve everyone." More simply, you can think of computational thinking as the thought processes involved in using algorithms to solve problems. Sheena Vaidyanathan writes some good articles explaining the differences between computer science, coding, and computational thinking here and here."

"Dating from 1991, the Python programming language was considered a gap-filler, a way to write scripts that "automate the boring stuff" (as one popular book on learning Python put it) or to rapidly prototype applications that will be implemented in other languages. However, over the past few years, Python has emerged as a first-class citizen in modern software development, infrastructure management, and data analysis. It is no longer a back-room utility language, but a major force in web application creation and systems management, and a key driver of the explosion in big data analytics and machine intelligence."

"What if you could squeeze an extra ten minutes out of your busy day and devote them to more meaningful interactions with students, colleagues and parents? While a school day is estimated to be around 6.7 hours, every educator knows that a teacher's workday is much longer. Carving out extra time in a teaching day may seem like a tall order for many educators, who often must steal hours from their evenings, cutting into their own professional development time and tipping the scales on their work-life balance. While a school day is estimated to be around 6.7 hours, every educator knows that a teacher's workday is much longer. Add the time required for all the other parts of the job-lesson planning, providing students extra support, grading, and parent and staff meetings-and teachers can expect to put in a 12- to 16-hour workday. Recent advancements in data analytics and artificial intelligence, however, may help teachers gain back some of those hours. These technologies offer new efficiencies and insights into classroom learning, allowing educators to harness the power of data from their learning management systems (LMSs) and freeing them up to focus their time on activities that truly lead to better learning outcomes."

"Every year thousands of educators gather for the International Society for Technology in Education (ISTE) conference eager to learn about the newest features in favorite apps and to glean ideas from one another about how to effectively teach in new ways. The conference seems to grow every year and there is palpable excitement from educators who finally get to commune with their "tribe" - techy teachers from around the globe. But many of the products currently being marketed to educators are firmly rooted in the current moment of education. For the most part, they focus on how to help educators do what they already do more efficiently. Or they offer flashy digital tools meant to engage learners presumed to have short attention spans, and entice teachers with the analytics under the hood. But too often the conversations around what educators can do with technology in their classrooms focus on the current moment in a system that almost no one thinks is perfect. "I'm fascinated by trying to look forward rather than looking at what schools look like now," said Alan November during a presentation at the conference. November has long been invested in education, first as a teacher and now has a consultant and speaker. He suggests that to fundamentally change, education leaders need to define a new role for learners and then hire teachers who can help nurture those qualities. With that in mind, November proposes seven questions that he thinks should become standard in the interviewing and hiring process. "

"In an era of breakneck change and tech innovation, evaluating dyslexia in young students looks much the same today as it has in the past: A struggling reader's parents and teachers might sit down, gather information and assess the child on their strengths and weaknesses to determine a diagnosis and appropriate interventions. Often this is done via paper tests-despite the growing usage of predictive analytics in schools, where there are seemingly as many data dashboards as students in a classroom. All that's to say, it seems like an industry almost too tempting for deep-pocketed tech investors and an ambitious startup with an eye on using machine learning to trim the fat. "Today's methods are quite cumbersome," explains Frederik Wetterhall, the CEO and co-founder of Lexplore, a company that has devised a dyslexia screening tool that pairs eye tracking cameras with AI and algorithms. "With paper- and pen-based tests, it's quite hard to read the results and takes a lot of time. [Educators] ask, 'Who are the kids we think have difficulties?' and they miss a lot of kids.""

"You wouldn't use a hammer to try to cut down a tree. Try to use an axe to drive nails and you're likely to lose a finger. Different physical jobs call for different tools. So, too, do different mental jobs.  Optimism and big-picture thinking will help you sell your business idea. Keeping your books in order requires a more detail-oriented approach. Motivating employees requires more empathy than analytical thinking.  Different modes of thinking are best suited for different situations, and according to a new interview with star Wharton professor and best-selling author Adam Grant most of us don't utilize one particularly powerful mindset nearly enough. "

"Regardless of whether you think every infant needs an iPad, I think we can all agree that technology has changed education for the better. Today's learners now enjoy easier, more efficient access to information; opportunities for extended and mobile learning; the ability to give and receive immediate feedback; and greater motivation to learn and engage. We now have programs and platforms that can transform learners into globally active citizens, opening up countless avenues for communication and impact. Thousands of educational apps have been designed to enhance interest and participation. Course management systems and learning analytics have streamlined the education process and allowed for quality online delivery. But if we had to pick the top ten, most influential ways technology has transformed education, what would the list look like? The following things have been identified by educational researchers and teachers alike as the most powerful uses of technology for learning. Take a look. 1. Critical Thinking In Meaningful Learning With Technology, David H. Jonassen and his co-authors argue that students do not learn from teachers or from technologies. Rather, students learn from thinking-thinking about what they are doing or what they did, thinking about what they believe, thinking about what others have done and believe, thinking about the thinking processes they use-just thinking and reasoning. Thinking mediates learning. Learning results from thinking. So what kinds of thinking are fostered when learning with technologies? Analogical If you distill cognitive psychology into a single principle, it would be to use analogies to convey and understand new ideas. That is, understanding a new idea is best accomplished by comparing and contrasting it to an idea that is already understood. In an analogy, the properties or attributes of one idea (the analogue) are mapped or transferred to another (the source or target). Single analogies are also known as sy

"Cloud computing is the delivery of computing services-including servers, storage, databases, networking, software, analytics, and intelligence-over the Internet ("the cloud") to offer faster innovation, flexible resources, and economies of scale."

Very easy to use. Share with email, FB, tweets, and pins. You can even embed the flyers into your web pages. Nice analytics feature. http://blogs.slj.com/neverendingsearch/2012/04/15/postering-with-new-tools/

"50 (mostly) free social media tools you can't live without in 2012"