Enhancing Biotechnological Education: Interactive Visual Design in Intelligent English Teaching Using Big Data AI Technologies

Abstract

In the context of biotechnological education, where the integration of advanced technologies with curriculum development is increasingly critical, the traditional methodologies of English teaching are undergoing significant revisions. This study introduces a novel approach to English language instruction through an interactive visualization method driven by Big Data AI technology. We propose a comprehensive framework for the interactive visualization of intelligent English teaching, incorporating big data techniques to enhance the educational interface. This framework supports the development of an interactive visualization model specifically tailored for English teaching in biotechnological settings. Subsequently, an intelligent English interactive visualization teaching platform is designed and implemented. The effectiveness of this innovative teaching method is evaluated through its impact on learning outcomes, demonstrating significant improvements in engagement and comprehension. The findings suggest that this approach holds considerable promise for guiding future reforms in biotechnological education, providing a potent tool for enhancing both the delivery and the assimilation of complex scientific content in English.