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OpenAI is expanding the educational capabilities of ChatGPT and introducing a feature designed to facilitate the learning of mathematics and the sciences. The new solution allows users to utilize interactive visualizations that enable them to see how formulas, numbers, and mathematical relationships change in real-time. Until now, most explanations in AI chatbots have primarily relied on text. Now, users can manipulate values in equations and observe the effects directly on interactive diagrams.
Learning Through Experimentation
The new feature allows users to change numerical values in math problems and immediately see how it affects the result. This way, the user not only receives a solution but also better understands the relationships between the individual elements of the formula. For example, while learning the Pythagorean theorem, one can change the lengths of the sides of a triangle and observe how it affects the length of the hypotenuse. This approach helps to better understand the mechanics of how formulas work instead of just memorizing their form.
Initially, the feature includes over 70 topics in mathematics and physics. Among them are formulas related to the area of a circle, linear equations, Ohm's law, Hooke's law, Coulomb's law, and calculations of kinetic energy. However, OpenAI has announced that the list of topics will be gradually expanded with additional educational modules.
ChatGPT is increasingly involved in education
Interactive visualizations are another step in developing the educational features of ChatGPT. Previously, OpenAI introduced, among other things, a learning mode, which guides the user through the stages of solving a problem instead of providing a ready result. There is also a feature for creating quizzes and flashcards that can help prepare for tests and exams. The new tools in ChatGPT show that artificial intelligence is increasingly being used as support in education. Interactive visualizations can significantly facilitate the understanding of difficult mathematical and physical concepts, and in the future, similar solutions may also appear in other fields of science.
Source: OpenAI, Own Ed.
