Short summaries of coding and AI education news, with a practical takeaway for educators and learners.
A professor describes replacing traditional coding tests with interviews about how students solve problems using AI. The approach uses Google Gemini in Colab to support the interviews and focuses on evaluating student judgment. The excerpt points readers to a full report for more detail.
Fifth-grade students use Google Gemini to brainstorm ideas, write songs about history, and create art. The article shows how a teacher brings AI into classroom activities.
A California teacher uses Gemini in Google Drive to make lesson planning faster and easier. The excerpt says she still puts critical thinking first when teaching in the AI era.
A teacher uses Google Gemini to create interactive role-playing simulations and nutrition lessons. The example shows how AI can help make classroom activities more engaging for students.
The excerpt contrasts public fear of AI with the use of an AI-powered reading screener in New Mexico schools. Amira Learning’s tool listens to young students read aloud and helps teachers spot mistakes early, while some parents worry about privacy and AI. It also notes that New York City and Los Angeles restricted student-facing generative AI, which is different from Amira’s literacy software.
This guide selects 10 Python courses from more than 6,000 options, grouping them by learner goals such as starting out, studying data science, earning a certification, or building skills for work. The list includes free and paid courses on topics ranging from basic programming and everyday automation to interview preparation and web development.
The article says practice helps students build understanding, but keeping them engaged can be difficult. It highlights five ways Khan Academy is trying to make practice feel more motivating for learners.
This guide selects 14 AI courses from more than 17,000 options, for learners ranging from complete beginners to programmers. The picks cover AI basics, workplace use, business strategy, hands-on projects, and technical topics such as neural networks and AI math.
AI systems like smart speakers and recommendations are becoming part of children’s everyday lives, so young people need to understand both how these systems work and how to question them. The excerpt introduces Social Explainable AI and Critical Computational Literacy, arguing that explanations are shaped by people and only become meaningful when others interpret them. It also shows that the same image or output can be described differently depending on who the explanation is for and why.
Allison Knoph, a fifth grade teacher in Edina, Minnesota, uses Experience CS in her classroom each fall. She says the creative writing station is the loudest spot because students use computers to build characters, write jokes, and improve programming projects. She found the story-based unit fit language arts better than the ecosystems unit, showing that placement matters.
The principal says AI is more useful as a way to reduce mental overload than as a simple productivity tool. Instead of only speeding up tasks, it helps create space for reflection, better decisions and stronger leadership. He uses ChatGPT’s voice feature during his commute to plan the day, think through difficult conversations and review what happened afterward.