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Whether you're new to the teaching field yourself or a seasoned veteran, you can find inspiration, advice and shared experiences by reading the blogs of other teachers. Both established bloggers and those new to the game like the bloggers listed here can offer some interesting and sometimes entertaining reading material for anyone involved in the education field. Check these new bloggers out the next time you're looking for something educational to read.

How can your learning network help you? By helping you to sift through all the data to identify the information that will be most useful to you. By helping you to identify learning resources and opportunities. By coaching you and answering your questions as you try to apply your learning to your work. By sharing their wisdom with you through dialogue. Building a personal learning network is requires that you not only seek to learn from others, but also that you also help others in the network learn. Even when you are a novice in a field of learning, you can still make contributions. Did you read an article that might be of interest to others? Then distribute it to other in your network with a short note that you thought they might find it interesting. Did you hear of a conference on the subject? Let others know about the program and speakers and, if you attend, circulate your notes and papers you collect to other network members. A personal learning network can be your most powerful learning tool no matter what the subject.

Nice overview of the virtual field trip!

"In the ever-changing technological world, computer science is not only becoming more prominent in classrooms, but a staple in education. Computer science combines the principles of technology and use of computers to educate learners on both the hardware and software of computer technology. The field of computer science is exceptionally diverse, as the skill sets are in-demand across practically every industry-serving as a lucrative and stable career pathway. In addition, computer science has many facets, meaning educators can leverage various components of the field to reach students across all levels and learning abilities. With technology present in almost every classroom, educators have a greater opportunity to implement computer science lessons throughout the curriculum. This provides students with the knowledge and skills required to help follow job market trends when they graduate."

"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."

"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."

"For better or worse, computing is pervasive, changing how and where people work, collaborate, communicate, shop, eat, travel, learn and quite simply, live. From the arts to sciences and politics, no field has been untouched. The last decade has also seen the rise of disciplines generically described as "computational X," where "X" stands for any one of a large range of fields from physics to journalism. Here's what Google autocomplete shows when you type "computational." (You can try it for yourself!) But the big question is: Does current K-12 education equip every student with the requisite skills to become innovators and problem-solvers, or even informed citizens, to succeed in this world with pervasive computing? Since the turn of this century, the "4C's of 21st century" skills-critical thinking, creativity, collaboration and communication-have seen growing recognition as essential ingredients of school curricula. This shift has prompted an uptake in pedagogies and frameworks such as project-based learning, inquiry learning, and deeper learning across all levels of K-12 that emphasize higher order thinking over rote learning. I argue that we need computational thinking (CT) to be another core skill-or the "5th C" of 21st century skills-that is taught to all students."

"Truth Decay - the diminishing role that facts, data, and analysis play in political and civil discourse - appears to result, in part, from an increasingly complex information ecosystem. Technology, in particular, offers continual access to information of varying quality and credibility, information that can blur the line between fact-based evidence and opinion. Not everyone is equipped with the skills necessary to navigate such uncertain terrain. The purpose of this report is to describe the field of media literacy (ML) education and the ways in which ML education can counter Truth Decay by changing how participants consume, create, and share information. One limitation of this research base arises from the variety of ways that literature defines and measures ML outcomes; while a multiplicity of viewpoints can be beneficial, it also presents challenges in terms of aggregating findings across studies. Despite this, the authors describe existing evidence that ML could be a useful tool for combating Truth Decay. They also provide an inventory of ML offerings available to the public. Finally, the authors make suggestions for moving forward, with the specific recommendation that professionals in ML and related fields strengthen their communication and collaboration, considering where there are opportunities for a common approach to researching ML. The authors recommend that policymakers and practitioners increase participation from diverse constituencies in scaling ML efforts"

"Please, No More Professional Development! By Peter DeWitt on April 17, 2015 8:10 AM Today's guest blog is written by Kristine Fox (Ed.D), Senior Field Specialist/Research Associate at Quaglia Institute for Student Aspirations (QISA). She is a former teacher and administrator who has passion for teacher learning and student voice. Kris works directly with teachers and leaders across the country to help all learners reach their fullest potential. Peter DeWitt recently outlined why "faculty meetings are a waste of time." Furthering on his idea, most professional development opportunities don't offer optimal learning experiences and the rare teacher is sitting in her classroom thinking "I can't wait until my district's next PD day." When I inform a fellow educator that I am a PD provider, I can read her thoughts - boring, painful, waste of time, useless, irrelevant - one would think my job is equal to going to the dentist (sorry to my dentist friends). According to the Quaglia Institute and Teacher Voice and Aspirations International Center's National Teacher Voice Report only 54% percent of teachers agree "Meaningful staff development exists in my school." I can't imagine any other profession being satisfied with that number when it comes to employee learning and growth. What sense does it make for the science teacher to spend a day learning about upcoming English assessments? Or, for the veteran teacher to learn for the hundredth time how to use conceptual conflict as a hook. Why does education insist everyone attend the same type of training regardless of specialization, experience, or need? As a nod to the upcoming political campaigns and the inevitable introduction of plans with lots of points, here is my 5 Point Plan for revamping professional development. 5 Point Plan Point I - Change the Term: Semantics Matter We cannot reclaim the term Professional Development for teachers. It has a long, baggage-laden history of conformity that does not

"Last month our middle school tech class went to Lansing to attend the MACUL ATT Student Showcase. While there, I asked the students to use an iPad to somehow create a project to document what happened on the trip. I gave them a list of suggested apps, but left it open for students to make their own creative choices about the project. Several students used the wonderful Book Creator app to create epub books about the trip. Here are links to two of the books that can be directly downloaded into iBooks on your iPad, iPod, or iPhone. (Note, it will take several minutes for the books to download, then select to open in iBooks.)"