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"Once students learn how to sound out words, reading is easy. They can speak the words they see. But whether they understand them is a different question entirely. Reading comprehension is complicated. Teachers, though, can help students learn concrete skills to become better readers. One way is by teaching them how to think as they read. Marianne Stewart teaches eighth grade English at Lexington Junior High near Anaheim, California. She recently asked her students to gather in groups to discuss books where characters face difficulties. Students could choose from 11 different books but in each group one student took on the role of "discussion director," whose task was to create questions for the group to discuss together. Stewart created prompts to help them come up with questions that require deep reading."

"Ten years ago, seeing a drone zoom over a college campus would have been unusual, to say the least. Today, however, several institutions are using the technology to support learning, research and even administrative work, such as capturing footage for a marketing video. Unmanned aerial vehicles have been in use since the 1990s, primarily to support military, border security and other public operations, according to the Federal Aviation Administration. Consumer adoption began to accelerate a few years ago as hobby drones became more advanced and less expensive. From 2014 to 2017, consumer drone shipments jumped worldwide by 7 million units, according to a Business Insider Intelligence analysis. That's about when higher education institutions began to realize UAVs could play a role on campus, according to Venkata Krishnan Seshadri, industry lead at market research provider Technavio. "Drones facilitate application-based, practical learning, which helps students understand and remember key theoretical concepts," Seshadri says. "Using drones significantly reduces risks and costs. For instance, in archeological-related courses, drones are used to capture aerial imagery, which increases the quality of learning without safety issues.""

"The most vital group within the 3D printing education equation that gets frequently overlooked are the teachers. The people that are directly tasked with preparing students for the modern workplace. There are fantastic educational pioneers out on the frontline, excited by 3D printing themselves, and transmitting this passion into their classrooms. Moreover, increasing numbers of schools are buying into 3D technology for the classroom and the potential for facilitating learning activities across the newly developed 3D printing classes and curriculum. But for teachers, there has to be a purpose behind the potential. Where do they go to find that purpose, particularly if they are not familiar with the 3D printing ecosystem themselves?"

"Nobody said that raising an adolescent was easy, and schooling one is even more of a challenge! Parents are taking on a lot of school responsibility, and let's face it -- things are different than they used to be. How are parents supposed to know how to handle the homework load without some guidance? Take studying, for example. If you are a parent of a struggling or resistant learner, you've probably heard more than one person suggest, "She just needs to study more." Most kids think this means filling in a study guide or rereading a chapter. But many don't learn by writing or reading. Their strengths lie in the visual, kinesthetic, musical, or social realm. How, then, are we to help our children develop their studying skills? The task does not have to be daunting. In fact, it can actually be simple and effective!"

"There are mixed reports that updating to iOS 11 has slowed down some iPhone and iPad hardware, or that performance of tasks like opening and interacting with apps is slower after installing iOS 11. If your iPhone or iPad feels slow after installing iOS 11, then you might want to try a few of the tricks we have outlined in this tutorial to speed up your device again."

"There ought to be a law limiting people to one use of the term "life-changing" to describe a life event. Had a life-changing cup of coffee this morning? Well, hope it was good because that's the one use you get! If this legislation came to pass, then I would use my allotment on my decision to write about data science. This writing has led directly to 2 data science jobs, altered my career plans, moved me across the country, and ultimately made me more satisfied than when I was a miserable mechanical engineering university student. In 2018, I made a commitment to write on data science and published at least one article per week for a total of 98 posts. It was a year of change for me: a college graduation, 4 jobs, 5 different cities, but the one constant was data science writing. As a culture, we are obsessed by streaks and convinced those who complete them must have gained profound knowledge. Unlike other infatuations, this one may make sense: to do something consistently for an extended period of time, whether that is coding, writing, or staying married, requires impressive commitment. Doing a new thing is easy because our brains crave novelty, but doing the same task over and over once the newness has worn off requires a different level of devotion. Now, to continue the grand tradition of streak completers writing about the wisdom they gained, I'll describe the lessons learned in "The Year of Data Science Writing.""

"Students undergo a lot of pressure when exams are around the corner. It can be quite a challenge to focus on the task at hand in such a state of mind. This article is going to look at how students can relieve stress by playing with LEGO during exam times. People normally consider LEGO just a toy, however, it is so much more than just a toy. It exercises your brain and gives you many benefits as a result. Rather than watching cartoons on TV and tablets most of the time, engaging in LEGO can prove to be such an excellent utilization of time and energy."

Identifying what our children need to learn is one of the most important processes within education. For the teacher this is the question they engage with as they design their teaching and learning units. By no means is this an easy task and the teacher must balance multiple factors to ensure that the programmes they design provide their students with the learning they require. Even the most effective sequence of lessons is of little value if what it sets out to teach has little importance in the lives our learners are likely to lead. 

"The groundwork for machine learning was laid down in the middle of last century. But increasingly powerful computers - harnessed to algorithms refined over the past decade - are driving an explosion of applications in everything from medical physics to materials, as Marric Stephens discovers When your bank calls to ask about a suspiciously large purchase made on your credit card at a strange time, it's unlikely that a kindly member of staff has personally been combing through your account. Instead, it's more likely that a machine has learned what sort of behaviours to associate with criminal activity - and that it's spotted something unexpected on your statement. Silently and efficiently, the bank's computer has been using algorithms to watch over your account for signs of theft. Monitoring credit cards in this way is an example of "machine learning" - the process by which a computer system, trained on a given set of examples, develops the ability to perform a task flexibly and autonomously. As a subset of the more general field of artificial intelligence (AI), machine-learning techniques can be applied wherever there are large and complex data sets that can be mined for associations between inputs and outputs. In the case of your bank, the algorithm will have analysed a vast pool of both legitimate and illegitimate transactions to produce an output ("suspected fraud") from a given input ("high-value order placed at 3 a.m."). But machine learning isn't just used in finance. It's being applied in many other fields too, from healthcare and transport to the criminal-justice system. Indeed, Ge Wang - a biomedical engineer from the Rensselaer Polytechnic Institute in the US who is one of those pioneering its use in medical imaging - believes that when it comes to machine learning, we're on the cusp of a revolution."

"Before computers can be used to solve a problem, the problem itself and the ways in which it could be resolved must be understood. Computational thinking techniques help with these tasks."

"Back in the early 1900s, John Dewey promoted the "learning by doing" approach to education, which would later become the foundation of project-based learning (PBL). This framework allows for students to use knowledge from all areas of study to complete a project or task, a process that prepares them for the challenges that they may have to overcome in a future career. Having a job may seem a lifetime away for a child. But by exposing them to different career paths, we can get them thinking about their life after high school before it's too late. As teachers, administrators, or parents, we know how important the future is for our students, and we want to give them an idea of what to expect when the next chapter of their lives begin. But how can we better prepare them for their lives after graduation?"

"Artificially intelligence is now making its way into every aspect of your digital lives. While most companies cannot stop talking about what they've done in the field, there are a host of cutting-edge AI-powered websites that are useful for everyday tasks today. Here are several awesome and insightful artificial intelligence sites you probably don't know about."

"SAMR is a technology integration model that basically shows the way to get the most out of your technology in the classroom. The dotted line in the chart to the right shows where you cross over from doing what you've always done - just adding technology - to doing what you couldn't do before. Redefinition is at the top of the SAMR model, but that doesn't mean that you "win" or that you're doing it right only if you reach redefinition. Some tasks just aren't made for redefinition, and great learning can happen without redefinition. But redefinition is the Holy Grail. If you get there, you're providing learning that couldn't have happened a decade ago (maybe a year ago)."

"Figuring out how to get (and keep) your makerspace organized can be a daunting task.  I don't claim to have a magical organization system that works perfectly 100% of the time.  But I have learned a few things about keeping our space organized over the last three years.  Here's my advice:"

"Welcome to the Bebras Australia Computational Thinking Challenge! This is the Bebras Australia Challenge Server. Looking for the information pages? Try www.bebras.edu.au The Bebras questions are grouped under three levels of difficulty: A (Easy), B (Medium) and C (Hard). You will find the difficulty level of each question in the overview before you click on it.  The level of difficulty of a task determines how it will be scored. "

"As we look at future jobs and technological advancements, having creativity is essential in the workplace. Robots and AI will be able to handle many tasks, even replacing some types of jobs, but we will still need creative thinkers and designers to move ahead globally. As educators, how do we ensure that students learn this skill in our curriculums? Can creativity be taught? Why are some people more creative than others? If you tell students to be creative, do they even know what it means or where to begin?"

"Computational thinking is generally defined as the mental skills that facilitate the design of automated processes. Although this term traces back to the beginnings of computer science in the 1950s, it became popular after 2006 when educators undertook the task of helping all children become productive users of computation as part of STEM education. If we can learn what constitutes computational thinking as a mental skill, we may be able to draw more young people to science and accelerate our own abilities to advance science. The interest from educators is forcing us to be precise in determining just what computational thinking is."

""Fool me once, shame on you. Fool me twice, shame on me." We should learn from experiences, particularly if those experiences show our previous beliefs to be untrue. So why are people so easy to fool when it comes to beliefs about learning? For years, a stream of articles have tried to dispel pervasive but wrong ideas about how people learn, but those ideas still linger. For example, there is no evidence that matching instructional materials to a student's preferred "learning style" helps learning, nor that there are "right-brain" and "left-brain" learners. The idea that younger people are "digital natives" who use technology more effectively and who can multi-task is also not supported by scientific research."

"We rely on expensive computer programs to edit photos and video, deal with office work, and protect our computers from malware. But they're not our only options. Often, commercial studios will offer the most basic versions of their products free of charge. In other cases, volunteers who believe that software should be free will develop open-source alternatives. Between them, you can find free programs to cover just about any computing task. However, not all free apps are created equal. We've narrowed down the plethora of options to highlight 10 of the finest free alternatives to pricey computer programs."