Creating new kinds of educational software has been one motivation for qualitative physics. Our research has brought us to the stage where we are now creating such software, and focusing some of our efforts on investigating how its educational benefits can be optimized. This essay describes one architecture of the three that we are developing: The incorporation of self-explanatory simulators into active illustrations, systems that provide an environment for guided experimentation. We start by examining why qualitative physics is useful for science education, and then describe the active illustrations architecture. We then discuss some of the issues that have arisen in moving our software from laboratory to classroom, and our plans for deployment.
ADELPHI, MD - FEBRUARY 04: (AFP OUT) U.S. President Barack Obama tours a seventh grade classroom that uses technology to enhance students' learning experience, prior to delivering remarks on the ConnectED Initiative at Buck Lodge Middle School February 4, 2014 in Adelphi, Maryland. Virtual reality and artificial intelligence (AI) are becoming powerful tools needed to revolutionize education. Experts suggest the use of technology, with the integration of the ever-evolving cyber tools, will unify education and research environment and network. Despite the threat of artificial intelligence to rise up against humans and destroy humanity within decades, AI continues to prove its usefulness to mankind. Recently, artificial intelligence makes headlines for having a potential to provide solutions to various global issues such as poaching, illegal logging, cyber-\attacks, in aiding cancer diagnosis and in education.
On the day I met Sebastian Thrun in Palo Alto, the State of California legalized self-driving cars. Gov. Jerry Brown arrived at the Google campus in one of the company's computer-controlled Priuses to sign the bill into law. "California is a big deal," said Thrun, the founder of Google's autonomous-car program, "because it tends to be hard to legislate here." He said it with typical understatement. An idea that was in its technological infancy a decade ago, when Thrun and his colleagues were racing to develop a vehicle that could drive itself more than a few miles on a desert test course, was now being officially sanctioned by the country's most populous state.
Recitations from Tel-Aviv University introductory course to computer science, assembled as IPython notebooks by Yoav Ram. Exploratory Computing with Python, a set of 15 Notebooks that cover exploratory computing, data analysis, and visualization. No prior programming knowledge required. Each Notebook includes a number of exercises (with answers) that should take less than 4 hours to complete. Developed by Mark Bakker for undergraduate engineering students at the Delft University of Technology.
Jackie Speier (D-Hillsborough) and Joe Heck (R-Nevada) and nearly 70 bipartisan members of the U.S. House want to know how the military plans to stop using live animals in medical combat-trauma training. The Department of Defense began scaling back the use of pigs, goats, monkeys, chickens and other animals as part of its medical training in 2015. A letter from Speier and Heck, signed by the others, points to recent research by the Department of Defense that using simulated human tissue rather than live animals is cheaper and provides better training. "The Department of Defense has the responsibility to provide the best available combat preparation to its medics. But according to its own studies, simulations are more effective than maiming and killing animals for medical training," Speier said in a news release.