A Comprehensive Approach to Enhancing Science Practical Education using AI, ML, Image Processing, and NLP for Secondary Education

Practical science education is crucial for developing students’ understanding of core scientific concepts, yet many secondary students face challenges due to inadequate school resources. This often results in lower academic performance and diminished interest in science. To address these issues, we propose the development of an innovative online platform designed to enhance science practical education by integrating four advanced technologies: emotion detection, hand gesture recognition, object identification, and chatbot support. This platform offers an interactive and engaging approach to learning by leveraging technology to overcome the limitations of traditional classroom resources. The emotion detection feature monitors students’ emotional responses as they interact with science-related practical questions. By analyzing emotional cues such as confusion or frustration, the platform delivers personalized content to address areas where students struggle. The hand gesture recognition feature presents multiple-choice questions and allows students to respond by showing the number of their answer choice with their fingers, promoting quick thinking and improving calculation speed. Object identification enables students to upload images of objects from the science curriculum, which the platform then identifies and explains, helping students relate theoretical knowledge to real-world examples. Additionally, the platform’s chatbot provides real-time support, answering students’ questions on practical topics and guiding them through difficult concepts. Through this comprehensive approach, our platform bridges the gap in science practical education by providing students with an accessible, personalized, and interactive learning experience. This solution not only enhances their understanding of scientific principles but also fosters academic success and a deeper engagement with the subject matter.