Short, useful summaries of coding, AI, and education news, with a practical next step for learners.
Khan Academy says new Khanmigo features will help students understand difficult ideas through interactive diagrams. It also gives teachers more ways to create practice that focuses on specific learning needs.
Google and Khan Academy are introducing AI-built classroom tools for the new school year. The new materials include interactive visual aids and practice activities that teachers can control. Both are built with Gemini.
Google AI Mode is a conversational search experience powered by Gemini. It splits a question into related searches, then combines the results into an AI-generated answer with web links so you can verify or explore further. You can also continue with follow-up questions without starting over.
The excerpt says Khan Academy’s research team highlighted a new randomized trial about using Khan Academy for math intervention. It also notes that the piece is an opinion from Sal Khan, founder and CEO of Khan Academy.
The article splits “explainer video maker” tools into two types: marketing tools that turn a script into an animated video, and comprehension tools that explain a question or code for you. It compares products within each group, with pricing checked against vendor plan pages and notes on time and tradeoffs.
This tutorial shows how to create a PDF-to-grayscale tool that runs in the browser. Users can upload a PDF, preview pages, choose conversion options and pages, then generate and download a new grayscale file without sending the document to an external server. It uses PDF.js to display pages, the Canvas API to change pixels, and PDF-lib to create the final PDF.
ChatGPT began as a chatbot and demo for OpenAI’s large language models. It has grown into a broader AI platform that can browse the web, create images, write code, reason through problems, and carry out actions across apps. The excerpt says explaining how it works has become more difficult as new models and features have been added.
The excerpt compares voice-controlled home lights to AI workflows that add complexity without much benefit. It notes that some tasks, like checking whether a number exceeds a threshold, have long been handled by simple conditional rules in tools like Excel.
This article explores the open-source code behind Chrome’s hidden Dinosaur Game. It explains that the game is built in a single JavaScript file with no frameworks, and highlights features like speed control, fair collision handling, night mode, and moon animation.
The excerpt explains that AI tutors are always available, patient, and able to rephrase concepts, generate practice, and support language conversation. It also says people often mix up general chatbots, guided tutoring modes, and research-built tutors, which leads to conflicting claims about their value. The guide says the main question is not whether they can help, but whether they actually improve learning.
Computing educators often do many setup steps automatically, but beginners can find starting a programming task overwhelming. The article explains subgoal labels as short instructions added to tasks, especially worked examples, to guide learners through a larger programming problem. An example shows labels for setting pen properties, moving the turtle, orienting it, and calling a function.
At the America’s Youth AI Festival in Boston, student leaders from across the U.S. debated a national AI policy for K-12 classrooms. Their proposed bill focused on transparency, AI literacy, and security, and will be shared with school districts for more discussion and feedback.