Speaker
Description
Teaching complex physics topics such as the quark-gluon plasma investigated by CERN's ALICE detector is extremely important in nurturing future scientists. In this project, we aim to enhance learning by integrating the ChatGPT language model into an Augmented Reality (AR) environment that comprehensively addresses the ALICE detector.
Within this scope, an AR application suitable for use with HoloLens2 glasses was developed, allowing students to interact with a detailed virtual model of the ALICE detector. ChatGPT was integrated into this application to enable real-time, spoken interactions through speech-to-text and text-to-speech functionalities. With this setup, a conversational learning environment was created where students can ask questions and receive personalized answers.
A similar integration was used in an AR application developed for the quantum cryptography experiment. This application was tested in studies conducted with students. The findings show that students rated the usability of the application at an excellent level and that the feedback they received from ChatGPT improved the accuracy of their answers to the questions asked. This demonstrates that an interactive and immersive experience can make complex topics more accessible.
The supportive role of the findings obtained from experimental applications in quantum cryptography emphasizes the effectiveness of integrating LLMs into AR for educational purposes. Applying this approach to the ALICE, reveals the potential to make complex scientific research more accessible and engaging for students.