
Explore how the pandemic reshaped education, pushing educators toward distance learning and ongoing professional development, while showcasing diverse credentials like Microsoft Innovative Educator Trainer and Minecraft certified educator.
Introduction to artificial intelligence covers four approaches: thinking humanly, thinking rationally, acting humanely, and acting rationally as rational agents, with examples like self-driving cars and conversational bots.
Explore how artificial intelligence and autonomous systems promise a more productive economy and safer transportation, with digital superintelligence symbiotically aligned with language and self-driving progress.
Explore the history and core concepts of artificial intelligence, including narrow, general, and super intelligence, and reactive machines, limited memory, theory of mind, and self-aware AI.
Create and train a text classification project to distinguish kind words from bad words, then test the model with examples to gauge accuracy.
Train a machine in Scratch to distinguish kind words from bad words, create a project, and animate a cat sprite that changes costumes based on recognition.
Create a new machine learning project from a template, train the model with labeled images you add via drag-and-drop, webcam, or image links, and test it before launching the project.
Open Scratch 3, find a ready-to-use project template such as the car template, and load it in seconds. Edit the template briefly and run your project to start making it.
Edit your project by integrating image recognition to move elements left or right based on detected images, set random x coordinates, and tweak cloning and a custom image.
Explore an image recognition project that sorts cards left or right by position thresholds, tested with a green flag, illustrating practical AI concepts for science and math education.
This course is intended for educators, programmers, It technicians and students. This course aims at identifying artificial intelligence and machine learning and their importance especially in the future. It also aims at applying machinelearningforkids website that helps creating such activities. Artificial intelligence makes it possible for machines to learn from experience, adjust to new inputs and perform human like tasks. Most Artificial Intelligence examples that you hear about today like chess playing computers, roboadvisors and self-driving cars rely heavily on deep learning and natural language processing. Using these technologies, computers can be trained to accomplish specific tasks by processing large amounts of data and recognizing patterns in the data. Artificial Intelligence technology is important as it enables human understanding, reasoning, planning, communication and perception to be undertaken by software increasingly effectively. The automation of these abilities creates new opportunities in most business sectors and consumer applications. But who will automate these abilities? It's for sure human beings.
Artificial Intelligence assisted education is also becoming more common today which helps teachers and educational institutions to assess children and personalise teaching methodologies to each child. They can also help increase the efficiency of administration tasks to allow teachers to sway more towards understanding and adaptability. By using the best characteristics of machines and teachers, we can hope for the best outcome in AI and ML in education.