Title: Foreign Language Education in Human-Machine Collaboration and Human-Human Collegiality: Connotation and Application
Authors: Xiaoquan Pan
Volume: 10
Issue: 4
Pages: 91-98
Publication Date: 2026/04/28
Abstract:
The rapid advancement of artificial intelligence is radically reshaping the ecology of foreign language education. This study focuses on the emerging paradigm of "Human-Machine Collaboration and Human-Human Collegiality", defining its core essence as a dynamic complementary system integrating artificial intelligence tools with both teacher-student and student-student interpersonal interaction, aimed at maximizing learning effectiveness. This study systematically explores its theoretical underpinnings (the synergistic interplay of Sociocultural Theory, Connectivism, and Activity Theory), constructs a "Tripartite Human-Tech Complementarity Model" (technology as foundation, human interaction as essence, learner as center), and expounds upon the conceptual framework of "Human-Machine Collaboration and Human-Human Collegiality" in foreign language education. At the applied level, it investigates implementation models for this collegiality within foreign language education. Our findings reveal that "Human-Machine Collaboration and Human-Human Collegiality" transcends mere technological augmentation; it represents a profound synthesis that integrates "technological rationality" with "educational humanism", constituting a paradigm restructuring. This signifies the progression toward the synergistic enhancement of both quality and efficiency in foreign language education.