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OpenAI is expanding the educational capabilities of ChatGPT and introducing a feature designed to make learning mathematics and the sciences easier. The new solution allows users to utilise interactive visualisations that demonstrate how formulas, numbers, and mathematical relationships change in real time. Until now, most explanations in AI chatbots relied mainly 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 mathematical tasks and instantly check how it affects the outcome. This way, the user not only receives the solution but also better understands the relationships between different elements of the formula. For example, while learning the Pythagorean theorem, one can adjust the lengths of the triangle's sides and observe how it impacts the length of the hypotenuse. Such an approach helps to better understand the mechanics of formulas rather than just memorising their form.
Initially, the feature covers 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. OpenAI has announced, however, that the list of topics will gradually be expanded with additional educational modules.
ChatGPT is Getting Stronger in Education
Interactive visualisations 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 various stages of solving a problem instead of providing the ready answer. There is also a feature for creating quizzes and flashcards, which can assist in preparing for tests and exams. The new tools in ChatGPT demonstrate that artificial intelligence is increasingly being used as support in education. Interactive visualisations can significantly facilitate the understanding of difficult mathematical and physical concepts, and in the future, similar solutions may also emerge in other fields of science.
Source: OpenAI, Own Ed.
