Intelligent Interactive English Teaching Discrete Data Modeling and Simulation

This study attempts to explore the discrete data modeling and simulation of smart interactive English teaching based on mobile APP, expecting effective strategies for deep integration APP technology teaching, conduct teaching. In this study, we propose a algorithm points normal vectors using B splines. By adding vector constraints, method can maintain good fitting results even when are discrete. The consists four parts, namely, point parameterization, B-spline dominant selection, node determination, least-squares fitting, including both error error. APP-based initial intelligent should adhere principles autonomy course learning, teacher dominance in language classroom, grasp humanistic nature content, focus practical implementation. learning environment promote students’ in-depth understanding knowledge. higher student’s interest deeper degree understanding; more diverse methods, it knowledge; stronger interaction, level understanding. proposed provides theoretical reference design production resources courses, according which courses produced make up lack resources.