The return to project-based learning, paired with today's AI tools, has created a new learning paradigm. Here, Mark Frydenberg, distinguished lecturer of Computer Information Systems and director of ...

Deepreinforcement learning has disadvantages such as low sample utilization and slow convergence, and thousandsof trial-and-error iterations are required to perform ...

Learn how museum educators at the Smithsonian are going all in with game mechanics for learning and embracing the playful, experimental side of education through the structure of familiar games.