The ZoomSense project was started on 19 April 2020 as a response to our experiences of using Zoom for teaching.
A few people from the Faculty of IT at Monash University (and friends) got together to see if we could visualize what was happening in Zoom breakout rooms.
We are looking for help in developing this open source tool. So whether you're an academic, educator or developer, we'd love to loop you in!
There is now a thriving community around ZoomSense, where developers are using it as an infrastructure to rapidly develop augmentations to Zoom for teaching, media production and much more!
If you are a developer, head over to our GitLab documentation to get started.
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.
כלים דיגיטליים משמשים למטרות חינוכיות ומאפשרים לסייע בבניית תהליכי לימוד ובפיתוח אינטראקציה מפרה בין המורים לתלמידים ובקידום מיומנויות המאה ה-21. אל הכלים השונים מצורפים מדריכים מפורטים וסרטוני הסברה המייעלים את השימוש בהם.
M-Lab provides the largest collection of open Internet performance data on the planet. As a consortium of research, industry, and public-interest partners, M-Lab is dedicated to providing an ecosystem for the open, verifiable measurement of global network performance. Real science requires verifiable processes, and M-Lab welcomes scientific collaboration and scrutiny. This is why all of the data collected by M-Lab’s global measurement platform are made openly available, and all of the measurement tools hosted by M-Lab are open source. Anyone with time and skill can review and improve the underlying methodologies and assumptions on which M-Lab’s platform, tools, and data rely. Transparency and review are key to good science, and good science is key to good measurement.
G. Biegel, and V. Cahill. Proceedings of the Second IEEE International Conference on Pervasive Computing and Communications (PerCom'04), page 361--. Washington, DC, USA, IEEE Computer Society, (2004)