Group items matching

in title, tags, annotations or url

The K-12 Computer Science Framework was developed for states, districts, schools, and organizations to inform the development of standards and curriculum, build capacity for teaching computer science, and implement computer science pathways. The framework Computer science is powering approaches to many of our world's toughest challenges. The K-12 Computer Science Framework informs standards and curriculum, professional development, and the implementation of computer science pathways. 2 K-12 Computer Science Framework Executive Summary promotes a vision in which all students critically engage in computer science issues; approach problems in innovative ways; and create computational artifacts with a practical, personal, or societal intent. The development of the framework was a community effort. Twenty-seven writers and twenty-five advisors developed the framework with feedback from hundreds of reviewers including teachers, researchers, higher education faculty, industry stakeholders, and informal educators. The group of writers and advisors represents states and districts from across the nation, as well as a variety of academic perspectives and experiences working with diverse student populations.

As children, we ask "Why?" a lot. It is a part of childhood, that special time when the many forces acting upon our cognitive development converge around a singular desire to ask "Why". It becomes the central focus of our conversational style, an incessant exclamation into the void which tests the patience of any nearby adult. But asking "Why" offers so much more.

"Do you have a great picture on your Mac within Photos app that you want to share? Photos for Mac makes sharing pictures, videos, and other images very easy, and you share a picture from the Mac directly to another user through messages, email, iCloud, social networks like Facebook, Twitter, and Flickr, or locally to another nearby Mac or iOS user through AirDrop. You can share any picture this way as long as you have the image, video, or picture stored within the Photos app on Mac. Whether the pictures were copied from an iPhone or camera to Photos on Mac or imported into Photos on Mac doesn't matter, the pictures just must be contained within the Photos application in Mac OS. It's worth pointing out that we're focusing on sharing pictures here, but the Photos app also holds videos and Live Photos, which can be shared the exact same way."

"Today's post is on the new Google Forms' guide we published a few months ago. The guide, which is based on instructions and insights from Docs Help center, walks teachers through the process of setting up, editing and sharing forms using the new Google Forms platform. More specifically, the visual covers the following how-tos:"

"AS A PHYSICS professor, I have two jobs. The first, obviously, is to help students understand physics. That makes me something of a coach. But I want to talk about my second job: evaluating what students understand about physics. You might call this grading them. Evaluating a student's understanding of a topic is like taking a measurement. However, it requires measuring something that is difficult to see. It's not like I can stick a ruler into a student's brain to determine the size of their physics stuff. Now, most teachers use indirect means, usually a multiple-choice test or an exam in which students work through a problem. These are poor measures of student understanding. Someone could simply guess, or flub the answer through a silly mistake. So how can I accurately assess a student's understanding of physics? Until someone invents a way of reading a student's mind, I must do something else. I use a combination of written tests and video assessments."

"There's an old saying that the things that change your life are the books you read, the places you go, and the people you meet. But I'd like to add a fourth: the challenges you face (and how you face them) will always change your life. If we want our students to respond to challenges with creativity and inventiveness, we must create the conditions in which innovation is not only possible but encouraged. You don't help students learn to invent by giving worksheets or cookie-cutter assignments. In fact, these one-size-fits-all approaches may actually take up the time that could be used for such creativity. "

"Starting the year off with ideas on the best ways to use technology to support learning, Larry Ferlazzo collected an invaluable list of criteria last year from educators, to which he added more resources in his recent blog post for EdWeek.Other posts in the series include Using Ed Tech to Create Deep and Meaningful Experiences and Effective Ways of Using Tech in the Classroom. Here is MindShift's contribution to the collection of ideas."

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.

"This week (December 4-10), tens of millions of students across the globe will participate in the 2017 Hour of Code Challenge. This global movement, which is now in its fifth year, is an opportunity to introduce students to the ever-growing world of computer science. Whether at school or at home, anyone can participate. No experience is needed! Check out these 7 activities to get your students started:"

The Bebras cards are designed to enable pupils to develop their computational thinking skills, whilst at the same time providing an introduction to more advanced computing concepts. Computational Thinking Each card is aligned to one of the following computational thinking concepts, which are indicated in the top right-hand corner of each card.  Patterns  Algorithms  Logic  Abstraction Task Difficulty The difficulty of the task on each card is indicated by the icon in the bottom right-hand corner.  = Easy  = Medium  = Hard Answers and Other Materials Answers to tasks, ideas for teaching and national curriculum links can be found at: www.bebras.uk Tip: pupils will need an exercise book or a piece of paper in order to record their answers to each activity

This year is the fiftieth birthday of Harvard's Project Zero, a research project designed to explore the nature of thinking and learning and from this suggest pedagogies which align with what we know about the mind. For its birthday celebration Project Zero shared insights from its five decades of research with presentations from Howard Gardner, David Perkins, Shari Tasman, Steve Seidel and Daniel Wilson. The presentations revealed the changing nature of the work of Project Zero from its early days and focus on arts education to its current position as a research organisation with broad interests across education but with a focus on thinking, understanding and the workings of the mind.

"Throughout history, from Plato on, creative people have spoken out against the stultifying effects of compulsory education. Here are quotations from fifty such people, which I have culled partly from my own reading but mostly from various other websites."

"In this makerspace project, we're going to show you how to make a popup paper piano that connects to your computer using Makey Makey. Learning how to play the piano however, is up to you! This project comes from our paper circuits ebook which contains over 45 printable paper circuit templates.  These make great makerspace projects."

"his article is about finding the best 3D printing software for every stage of your workflow. Which 3D printing software is best for preparing 3D models to print? How about designing 3D models from scratch? What if you're an absolute beginner? Have no fear, we've answered all of these questions, together with information on proficiency levels and where they can be downloaded. And the best thing is that all of them are either totally or free for students, educators and open source projects."

If we believe that all learning is a consequence of thinking, then we should consider what types of thinking our learners are likely to benefit from at each phase of their inquiry. This is where the Understanding Map, developed by Ritchhart, Church & Morrison offers useful guidance. By contemplating the demands of each phase of our chosen inquiry model, we can plan for how we might scaffold thinking moves which will enhance our learners' learning.

"Google Arts & Culture partnered with Château de Versailles to create an extremely detailed VR tour of the iconic French palace, aptly named VersaillesVR - the palace is yours (2019). The free app, which is now available on Steam with support for Rift, Vive, and Index, takes you through the centuries-old palace, letting you inspect and learn about the UNESCO World Heritage site's many paintings, sculptures, furniture, as well as few of its gilded halls."

"Which brings me to news literacy and learners - how to distinguish what is real and what is fake? What is real information and what is misinformation?"

"From autonomous vehicles, predictive analytics applications, facial recognition, to chatbots, virtual assistants, cognitive automation, and fraud detection, the use cases for AI are many. However, regardless of the application of AI, there is commonality to all these applications. Those who have implemented hundreds or even thousands of AI projects realize that despite all this diversity in application, AI use cases fall into one or more of seven common patterns.  The seven patterns are: hyperpersonalization, autonomous systems, predictive analytics and decision support, conversational/human interactions, patterns and anomalies, recognition systems, and goal-driven systems. Any customized approach to AI is going to require its own programming and pattern, but no matter what combination these trends are used in, they all follow their own pretty standard set of rules. These seven patterns are then applied individually or in various combinations depending on the specific solution to which AI Is being applied."

Our goal might be to support Deep versus Surface Learning, but what does this mean in practical terms. What are the beliefs and dispositions which support teaching for deep learning, and what are the implications of this in terms of the pedagogy we adopt?