CDC is learning more about how COVID-19 spreads and affects people and communities. Read more about what we're finding out in our CDC publications, Morbidity and Mortality Weekly Report and Emerging Infectious Diseases.
JASP is an open-source statistics program that is free, friendly, and flexible. Armed with an easy-to-use GUI, JASP allows both classical and Bayesian analyses.
The recent release of the Next Generation Science Standards (NGSS) offers a new challenge and opportunity for science. Science practices are the social interactions, tools and language that scientist use as they construct, evaluate and communicate scientific knowledge. The effective integration of science practices into classrooms can better support a wide range of students, including those typically underrepresented in science, to develop greater scientific literacy.
Effective integration of science practices in classrooms requires instructional leadership to support that change. Instructional leaders can include a variety of different individuals including, but not limited to, school principals, district leaders, coaches and lead teachers. The ILSP team is developing tools to support instructional leaders in the science practices.
Vision
Our vision for supporting instructional leaders in their work with teachers to improve science teaching and learning stems from our approach to instructional supervision and science instruction.
Our orientation to supervision is rooted in the importance of strong instructional leadership. We seek to support leaders in their work with teachers as they promote a growth mindset, foster frequent and ongoing opportunities for feedback, sustain a commitment to teacher development over time, and engage in collaborative practices.
The STEM Teaching Tools site has tools that can help you teach science, technology, engineering and math (STEM). We are currently focused on supporting the teaching of the Next Generation Science Standards (NGSS). Each tool is focused on a specific issue and leverages the best knowledge from research and practice. Under the News section, you can learn a bit more about how you might use them. This article provides background on this effort. Review more resources in our Tools area and check out the online "short courses" shown below.
TensorFlow™ is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. TensorFlow was originally developed by researchers and engineers working on the Google Brain Team within Google's Machine Intelligence research organization for the purposes of conducting machine learning and deep neural networks research, but the system is general enough to be applicable in a wide variety of other domains as well.
The Go-Lab Project (Global Online Science Labs for Inquiry Learning at School) opens up online science laboratories (remote and virtual labs) for the large-scale use in school education. The overall aim of the project is to encourage young people aged from 10 to 18 to engage in science topics, acquire scientific inquiry skills, and experience the culture of doing science by undertaking active guided experimentation.
To achieve this aim, the Go-Lab project creates the Go-Lab Portal allowing science teachers finding online labs and inquiry learning applications appropriate for their class, combining these in Inquiry Learning Spaces (ILSs) supporting particular lesson scenarios, and sharing the ILSs with their students. Using the ILSs, the students receive the opportunity to perform personalized scientific experiments with online labs in a structured learning environment.
ScienceOpen is a freely accessible research network to share and evaluate scientific information. We aggregate Open Access articles from a variety of sources – opening them up to commenting and discussion. Manuscripts submitted to ScienceOpen will be published Open Access and evaluated in a fully transparent Post-Publication Peer Review process.