As the COVID-19 pandemic continues to impact countless aspects of everyday life, CyLab researchers are monitoring its effects on people’s cybersecurity and privacy.
People who manage public facilities and spaces during the COVID-19 pandemic have lots of new questions that artificial intelligence and computer vision technology could help answer, such as:
Carnegie Mellon University learning engineers are heading to rural Panama to help teachers improve student outcomes in science, technology, engineering and math (STEM) courses. Greg Bunyea, a recent graduate of the Masters of Educational Technology and Applied Learning Science program, will lead the work.
Last year, a team of CyLab researchers explored the account-sharing behaviors of romantic couples and found that some of their practices could compromise security. Building off that study, the team wanted to explore the account-sharing behaviors of another subset of people: employees within a company or organization.
While training and feedback opportunities abound for K-12 educators, the same can't be said for instructors in higher education. Currently, the most effective mechanism for professional development is for an expert to observe a lecture and provide personalized feedback. But a new system developed by Carnegie Mellon University researchers offers a comprehensive real-time sensing system that is inexpensive and scalable to create a continuous feedback loop for the instructor.
Researchers had a rare opportunity to peek "under the hood" of the Carnegie Mellon University Libraries' two Enigma machines, opening the World War II-era machines to photograph their carefully-crafted interiors and to locate and record the serial numbers printed on their rotors.