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.
Writing for Understanding is an approach to writing instruction, at all grade levels, that recognizes that at the heart of effective writing is the building of meaning, expressed in a way so that others can follow the writer’s thinking.
This fall, MIT Professor Shigeru Miyagawa flipped his classroom as he taught two versions of Visualizing Japan to two distinctive audiences at the same time. He co-taught the massive online open course (MOOC) VJx on edX, as well as the residential version of the course, 21F.027, to students at MIT. The students in the residential class were assigned the MOOC video lectures and quizzes to complement their classroom work.
Torch is a scientific computing framework with wide support for machine learning algorithms. It is easy to use and efficient, thanks to an easy and fast scripting language, LuaJIT, and an underlying C/CUDA implementation.
Georg Krempl, Daniel Kottke, and Myra Spiliopoulou. Proceedings of the 21st European Conference on Artificial Intelligence (ECAI2014), August 18 -- 22, 2014, Prague, Czech Republic, volume 263 of Frontiers in Artificial Intelligence and Applications, IOS Press, (2014)