AI education has made a qualitative leap. Today, the new generation of visual, interactive AI teaching system - ChatTutor - was officially launched, breaking through the limitations of traditional AI Q&A "pure text output" by synchronizing a drawing board on the right side in real time, achieving a human-like teaching experience of "explaining, drawing, and deducing at the same time." When users ask "how to translate quadratic functions," AI not only verbally explains the principles but also dynamically draws curves, marks vertices, and demonstrates the transformation process on the drawing board — knowledge is no longer abstract, but visible and tangible visual logic.

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Five Teaching Engines Cover Core Subject Scenarios

ChatTutor builds an intelligent teaching matrix covering multiple fields by relying on multimodal generation technology:

Mathematical Visualization: Function graphs, geometric constructions, and statistical charts can be generated with one click, supporting dynamic deduction and parameter adjustment;

Physics Experiment Simulation: Instantly draw force diagrams of mechanics, motion trajectories, wave propagation, and make abstract laws concrete;

Logical Circuit Interaction: Drag and drop gate circuit components to verify sequential logic and state transitions in real time;

Programming Line-by-Line Teaching: Supports languages such as Python and JavaScript, explaining execution processes and error debugging while writing code;

Concept Mapping Generation: Automatically structures complex concepts and exports them for review or team collaboration with one click.

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Evaluation Test: Teaching Logic Comparable to Top Teachers

AIbase tests show that when facing complex questions like "applying Newton's second law to motion on an inclined plane," ChatTutor first draws the incline, marks gravitational components and friction forces, then gradually derives the acceleration formula and uses colors to distinguish vector directions and variable relationships. The entire process is logically clear and well-paced, far exceeding traditional "answer-pasting" AI assistants.

From "Knowing How to Answer Questions" to "Knowing How to Teach": A Turning Point in AI Education

Previously, AI educational tools focused mainly on question bank matching and answer generation; however, ChatTutor is the first to integrate pedagogy (teaching methods) into its AI core — simulating human teachers' heuristic teaching through visual guidance, step-by-step breakdowns, and interactive feedback. This not only improves understanding efficiency but also cultivates users' structured thinking abilities.

AIbase believes that the emergence of ChatTutor marks a turning point for AI education, upgrading it from an "information retrieval tool" to a "cognitive collaboration partner." When AI can not only tell you "what it is," but also clearly demonstrate "why" and "how," the threshold for knowledge acquisition will be lowered unprecedentedly. In the future, whether for self-study, teacher preparation, or corporate training, such "visual AI mentors" may become standard. The intelligence of education is truly beginning here.

Project Address: https://github.com/sheepbox8646/ChatTutor