Microsoft Learn Catalog API - Blended Learning and LMS Integration
Microsoft Learn is the primary entry point for training on all Microsoft technologies. Free, guided micro-learning, by product, service, job-role, or title Role-based learning paths to prepare you for certification. Free accounts allow you to easily test-drive products and services within a protected sandbox
Cross the Hurdles: Innovate in the Classroom with Power Platform
More and more we see teachers implementing the Power Platform tools to teach students future-ready skills, innovate the classroom, and decrease the gap between the university and the workforce. But in our endeavor to teach low-code skills, there are some hurdles on the track on the way to the finish. How can we identify and cross those?Devito Book Summer Project with Imperial College London
If you are interested in numerical computation, programming in Python, and/or applied mathematics, and would like to contribute to our open-source textbook, feel free to reach out to us on Slack and check out the devito_book repository on GitHub.GPU compute within Windows Subsystem for Linux 2 supports AI and ML workloads
Adding GPU compute support to WSL has been our #1 most requested feature since the first release. Over the last few years, the WSL, Virtualization, DirectX, Windows Driver, Windows AI teams, and our silicon partners have been working hard to deliver this capability.Introduction to Auto Assessment and Grading with PyBryt for Python
We continuously interact with computerized systems to achieve goals and perform tasks in our personal and professional lives. Therefore, the ability to program such systems is a skill needed by everyone. Consequently, computational thinking skills are essential for everyone, which creates a challenge for the educational system to teach these skills at scale and allow students to practice these skills. To address this challenge, we present a novel approach to providing formative feedback to students on programming assignments. Our approach uses dynamic evaluation to trace intermediate results generated by student’s code and compares them to the reference implementation provided by their teachers. We have implemented this method as a Python library and demonstrate its use to give students relevant feedback on their work while allowing teachers to challenge their students’ computational thinking skills
