The utilization of artificial intelligence in enhancing English language instruction and fostering entrepreneurial education

In the current landscape, artificial intelligence (AI) has found applications across numerous domains, achieving considerable maturity. The significance of this research lies in its exploration of the integration of big data and AI technologies into English language teaching and entrepreneurship education, areas that remain underexplored. This study outlines the fundamental concepts of big data and Back Propagation Neural Network (BPNN), emphasizing their relevance to entrepreneurship education within the AI context. By establishing a conceptual framework for assessing entrepreneurship education using BPNN, this research provides innovative methodologies and significant insights into the future application of AI in educational settings. It then proposes research hypotheses concerning students’ English writing skills, utilizing the big data platform pigai.org . Furthermore, it develops a conceptual framework for assessing entrepreneurship education, employing the BPNN approach. The evaluation methodology for entrepreneurship education, built around the Back Propagation Neural Network (BPNN), facilitates the creation of a questionnaire aimed at examining the entrepreneurial inclinations of students majoring in English-related disciplines. This research employs an experimental design to assess English writing proficiency via pigai.org and uses a BPNN model to analyze the questionnaire data, simulating inputs and expected outcomes within the BPNN framework. The findings indicate a significant improvement in English writing capabilities attributed to pigai.org’s big data analytics. The BPNN model demonstrated high accuracy and scientific validity, with a fit regression R-value of 0.97 in training, 0.92 in validation, and 0.94 overall. This investigation aims to inform the future application of AI in enhancing English teaching methodologies and entrepreneurship education, providing a novel perspective on integrating technology with pedagogy.