28 Days of Hands-On STEM Activities for Kids I can’t tell you how excited I am… February’s going to be BIG!! There are 28 days (plus an extra for leap year this year) pack-filled with hands-on STEM activities for kids. I’ve partnered with some of my favorite bloggers and here’s a little math to show you just how BIG this is… 60 activities + 29 bloggers = an AHmazing month of hands-on science, tech, engineering & math for your kiddos at home and in the classroom. Why Hands-On STEM? When kids get their hands on exciting projects, it can inspire them to learn. STEM Goes Green The first week of our Hands-On STEM series is all about the earth. February 1 February 2 February 3 February 4 February 5 February 6 February 7 Trash Tower Building Challenge || Our Daily Craft STEM Challenges Life is a challenge, so let’s prepare our kids for it. February 8 February 9 February 10 February 11 Build a 3D Structure || Go Science GirlsBuild a Bedroom Model || Line Upon Line Learning February 12 February 13 February 14 Coding for Kids Coding. February 15 February 16
Q-files - The Great Illustrated Encyclopedia Bebras Australia - CSIRO Digital Careers Why The Bebras Challenge [Music plays and the CSIRO logo appears on a black screen] [Image changes to show a title slide displaying text: Why The Bebras Challenge, Understanding Computational Thinking and its Place in the Curriculum, Created By Allira Crowe, Digital Careers – CSIRO Education & Outreach, Presented by Allira Crowe, Education & Outreach, www.csiro.au] Allira Crowe: Hi everyone. [Image changes to show a new slide displaying the breakup of CSIRO Education and Outreach and text appears on the slide: CSIRO Education and Outreach, 12+ STEM Programs, 100s of 1000s Students per year, 300+ Partners, 35+ years, 2000+ Teachers In STEM Professionals In Schools] OK, so big picture, who is CSIRO Education and Outreach? Looking at one of the programmes in particular on your screen you can see the STEM Professionals In Schools Programme. [Image changes to show a slide displaying all the different programmes offered in coloured boxes below a text heading: CSIRO Education & Outreach Programs]
Teaching London Computing: A RESOURCE HUB from CAS LONDON & CS4FN | We are teaching london computing Pensamiento Computacional: Haz que tus alumnos se adapten a nuevas realidades Hoy en día, las tecnologías las tenemos muy integradas en la sociedad, de tal forma que ni sabemos su origen ni nos planteamos cuánto trabajo y programación hay por detrás de estas. Simplemente, al estar en un mundo centrado en tecnologías, pasamos por alto los objetos qué tienen, o qué no, un refuerzo tecnológico en su interior. Sin embargo, hay que tener en cuenta que las tecnologías han hecho que la sociedad evolucione positiva o negativamente, según como se mire, pero a lo largo de la historia ha habido diferentes impactos tecnológicos (imprenta, medios de comunicación, transportes…) que nos han llevado hasta donde estamos ahora, es decir, una sociedad rodeada de tecnologías (Hurtado, 2014). En el esqueleto de las tecnologías se encuentra la programación, y el aprendizaje de esta puede llevar a los niños a, como bien dice López-Escribano y Sánchez-Montoya (2012): “enfrentarse a errores y plantear estrategias de solución de problemas” (p.5). Bibliografía
Framework Statements by Progression – k12cs.org The K–12 Computer Science Framework is a high-level set of guidelines that informs the development of standards, curriculum, course pathways, and professional development. Download a complete or abridged copy of the framework statements viewed by progression. Download the entire framework document. Filter by Practices No practices selected. Practice 1. Building an inclusive and diverse computing culture requires strategies for incorporating perspectives from people of different genders, ethnicities, and abilities. Practice 2. Collaborative computing is the process of performing a computational task by working in pairs and on teams. Practice 3. The ability to recognize appropriate and worthwhile opportunities to apply computation is a skill that develops over time and is central to computing. Practice 4. Abstractions are formed by identifying patterns and extracting common features from specific examples to create generalizations. Practice 5. Practice 6. Practice 7. Back to the top Devices
Algoritmos e inteligencia artificial: ¿por donde empezar? Listado de algunas referencias indispensables para empezar el camino hacia una alfabetización sobre algoritmos e inteligencia artificial. Cuando un tema comienza a despertar nuevos intereses y pasiones, se ve venir de lejos. Las publicaciones en los medios de comunicación se multiplican, los universitarios también toman la pluma, los hilos Twitter no paran de abundar y se organizan conferencias, charlas, Meet up, cursos masivos online y otros encuentros con tantos nuevos especialistas. Ha llegado el momento para los periodistas de saber sobre los algoritmos y la inteligencia artificial. ¿Qué és un algoritmo? Invito a los lectores a realizar sus aportaciones para complementar las referencias presentadas. Antes de perderse en las ya numerosas publicaciones sobre algoritmos, hay que buscar una definición suficientemente explicita y sencilla para no pasar página demasiado rápido. ¿Qué es un algoritmo? Lo hemos entendido, un algoritmo ayuda a encontrar soluciones a problemas.
Center for Computational Thinking, Carnegie Mellon What is computational thinking? "Computational Thinking is the thought processes involved in formulating problems and their solutions so that the solutions are represented in a form that can be effectively carried out by an information-processing agent." Cuny, Snyder, Wing Computational thinking is a way of solving problems, designing systems, and understanding human behavior that draws on concepts fundamental to computer science. Computational thinking means creating and making use of different levels of abstraction, to understand and solve problems more effectively. Computational thinking means thinking algorithmically and with the ability to apply mathematical concepts such as induction to develop more efficient, fair, and secure solutions. Computational thinking means understanding the consequences of scale, not only for reasons of efficiency but also for economic and social reasons. Computational thinking is a Carnegie Mellon thing