The calibration of the EFL teaching and learning approaches with Artificial Intelligence can potentially facilitate a smart transformation, fostering a personalized and engaging experience in teaching and learning among the stakeholders. The paper focuses on developing an EFL Big Data Ecosystem that is based on Big Data, Analytics, Machine Learning and cluster domain of EFL teaching and learning contents. Accordingly, the paper uses two membranes to construe its framework, namely (i) Open Big Data Membrane that stores random data collected from various source domains and (ii) Machine Learning Membrane that stores specially prepared structured and semi-structured data. Theoretically, the structured and semi structured data are to be prepared skill-wise, attribute-wise, method-wise, and preference-wise to accommodate the personalized preferences and diverse teaching and learning needs of different individuals. The ultimate goal is to optimize the learning experience by leveraging machine learning to create tailored content that aligns with the diverse teaching and learning needs of the EFL communities.

翻译：将人工智能与EFL教学方法进行校准，有望推动智能化转型，为相关方营造个性化、沉浸式的教学体验。本文聚焦于构建基于大数据、分析技术、机器学习及EFL教学内容集群领域的EFL大数据生态系统。为此，本文采用双膜结构来构建其框架，包括：（i）开放大数据膜，用于存储从各源域采集的随机数据；（ii）机器学习膜，用于存储经过专门处理的结构化与半结构化数据。理论上，这些结构化与半结构化数据需按技能、属性、方法及偏好维度进行组织，以满足不同个体的个性化偏好及多元教学需求。最终目标是通过机器学习优化学习体验，生成与EFL社群多样化教学需求相匹配的定制化内容。