Evaluation and Improvement of English-Speaking Instruction Based on PLS-SEM and Intelligent Speech System

Abstract

Technological progress has brought about significant changes in education, and the development of intelligent speech systems has provided a new technical support and a broader resource platform for teaching and evaluating college English speaking. Evaluation is the basis for optimizing college English-speaking instruction (ESI); this paper explores the influencing factors of ESI and their relationship through PLS-SEM. Students' course cognition, learning behavior, knowledge mastery, and teacher-student communication have a significant positive relationship with course satisfaction and classroom effect. On this basis, we make suggestions for optimizing college ESI from three aspects: resource acquisition, platform utilization, and teaching evaluation in combination with an intelligent speech system.