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"Concussions are a serious public health concern. One in five Canadians report a sport-related concussion in their lifetime and an estimated one in 10 youth sustains a sport-related concussion each year. To improve concussion prevention, detection and management, the Faculty of Kinesiology at the University of Calgary has developed a course for parents, coaches, teachers and administrators of school and sport environments, health-care professionals and those who have experienced a concussion.  "This course demystifies concussion and explains how everyone can play a role to prevent, identify and manage this type of traumatic brain injury," says Dr. Kathryn Schneider, PT, PhD, an assistant professor and clinician scientist (physiotherapist) in the Sport Injury Prevention Research Centre in the kinesiology faculty. "This program also demonstrates how a concussion management protocol can be adapted to the characteristics and resources of different sports and settings." A concussion management protocol is a detailed process that outlines how to prevent, detect and manage concussions in a specific context."

"Business adoption of artificial intelligence is accelerating, fueled by an explosion of data, the rapid growth in cloud computing and the emergence of advanced algorithms.1 In a survey of IT decision-makers that my company, CCS Insight, conducted in July 2017, 58 percent of respondents said they are using, testing or researching the use of artificial intelligence (AI) in their organizations.  Respondents also estimated that as much as 30 percent of their business applications would be enhanced with machine learning within the next 24 months - a bullish view, considering the technology's well-documented problems with trust, cost and the lack of skills needed to train machine learning systems."

"A math trail is an activity that gets students out of the classroom so they can (re)discover the math all around us. Whether out on a field trip or on school grounds, students on a math trail are asked to solve or create problems about objects and landmarks they see; name shapes and composite solids; calculate areas and volumes; recognize properties, similarity, congruence, and symmetry; use number sense and estimation to evaluate large quantities and assess assumptions; and so on. This is one of those creative, yet authentic activities that stimulate engagement and foster enthusiasm for mathematics-and so it can be particularly useful for students in middle and high school, when classroom math becomes more abstract."

"When it comes to productivity, humans don't come close to robots. Machines don't need sleep, won't slack off or ask for a raise and generally don't need vacation days so they can sunbathe in Bali. According to a study from Oxford University and the Oxford Martin School, 47% of jobs in the United States are "at risk" of becoming "automated in the next 20 years." PwC has similar findings, estimating that 38% of U.S. jobs are at risk of being replaced by robots and artificial intelligence in the next 15 years. And while two-thirds of Americans believe robots will take over most of the workforce in the next 50 years, they're also in denial: 80% say their job will "probably" or "definitely" be around in five decades. Here are five robots that are coming to take some jobs from unsuspecting humans: "

"In India, 41km of highway road was constructed every day for the year of 2016. In the Indian government budget, it estimated the cost just for 2016 to be 19 billion USD. It would be financing any shortfall through tax-free government bonds. Computational thinking would have played an instrumental role in deciding on where the road would go through with taking into account the key hubs and may have saved the government millions, if not billions of dollars. Jeanette Wing (2012) defines computational thinking as the thought process involved in formulating a problem and expressing its solution in a way that a computer-human or machine can effectively carry out. It is the process of abstraction by; choosing the right abstractions, operating in terms of multiple layers of abstraction simulations and defining the relationships between layers guided by efficiency, correctness, and flexibility. Computational thinking can best be related to as writing software or instructionals. Every action or non-action is accounted for in the way computational artifacts are constructed. Computational thinking is great for working out a solution but there is an argument that computational thinking does not put enough emphasis on the problem itself. Design thinking, on the other hand, attempts to understand the intent or problem before looking at any solution - computational or otherwise. Design thinking attempts to identify why the problem exists in the first place before solving it. IDEO defines design thinking as the application of empathy and experimentation to arrive at innovation solutions through making decisions based on stakeholder input and evidence based research. Using the Indian roading example, a design thinker would ask, what is the intent of building the roads in the first place?"

"Losing your job to robots is no longer a sci-fi fantasy. Some estimates say, robots may take over more than five million jobs across 15 developed countries. Machines could account for more than half the workforce in places like Cambodia and Indonesia, particularly in the garment industry. While such information has led many people to seek out higher-tech skills, others have said we need a stronger emphasis on trade skills to combat the high competition in tech fields. In one 2016 survey, 60 percent of respondents wanted more emphasis on Shop classes in high schools, while a 2015 Gallup poll found that 90 percent of parents want computer sciences emphasized in schools. The good news. There are some skills robots can't embody, and if you have them, there's no need to worry about losing your job due to robotic advancements. Better yet, many of them are transferrable, meaning they can help you advance your career, even if you need to change industries. Here are eight skills that can keep your job from being handed off to a robot."

"Critical thinking is the heart and soul of learning, and-in our estimation anyway-ultimately more important than any one specific content area or subject matter. It's also an over-used and rather nebulous phrase - how do you teach someone to think? Of course, that's the purpose of education, but how do you effectively optimize that concept into lasting knowledge and the ability to apply it broadly?"

"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

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